diff --git a/benchmarks/edge_harness/experiments/audit_qwen_tts_vocoder_qualcomm.py b/benchmarks/edge_harness/experiments/audit_qwen_tts_vocoder_qualcomm.py new file mode 100644 index 000000000..046d50a0c --- /dev/null +++ b/benchmarks/edge_harness/experiments/audit_qwen_tts_vocoder_qualcomm.py @@ -0,0 +1,157 @@ +#!/usr/bin/env python3 +"""Audit a hosted Qwen3-TTS vocoder component against a pinned ONNX CPU run.""" + +from __future__ import annotations + +import argparse +import hashlib +import json +import math +from collections import Counter +from pathlib import Path + +import numpy as np + + +SOURCE_SHA256 = "7c07666229c6d404894132e22f784525e3212a49efad55ddd532eda5286c2b2b" +FIXTURE_SHA256 = "dfca9e8d2a724a568a31b6cd18ff6a52fdc205fd34e13cbf1cd75f0f7937e82d" +CPU_OUTPUT_SHA256 = "8de78b94b59f01e49852f7706adbd2508a9976b8e2705cfd3b94d07bb3606cb1" + + +def sha256(path: Path) -> str: + with path.open("rb") as source: + return hashlib.file_digest(source, "sha256").hexdigest() + + +def read_output(path: Path, name: str) -> np.ndarray: + with np.load(path, allow_pickle=False) as data: + if data.files != [name]: + raise ValueError(f"{path}: expected only {name}, got {data.files}") + output = np.asarray(data[name]) + if output.shape != (1, 48000) or output.dtype != np.float32 or not np.isfinite(output).all(): + raise ValueError(f"{path}: violates finite FP32 48,000-sample WAV contract") + return output + + +def compare(reference: np.ndarray, output: np.ndarray) -> dict: + a = reference.astype(np.float64).ravel() + b = output.astype(np.float64).ravel() + error_norm = float(np.linalg.norm(a - b)) + reference_norm = float(np.linalg.norm(a)) + output_norm = float(np.linalg.norm(b)) + if reference_norm == 0 or output_norm == 0: + raise ValueError("silent reference/output cannot define waveform similarity") + return { + "relative_l2": error_norm / reference_norm, + "snr_db": 20 * math.log10(reference_norm / error_norm) if error_norm else None, + "max_abs": float(np.max(np.abs(a - b))), + "cosine": float(np.dot(a, b) / (reference_norm * output_norm)), + "reference_rms": float(np.sqrt(np.mean(a * a))), + "output_rms": float(np.sqrt(np.mean(b * b))), + "output_saturated_fraction_abs_ge_0_999": float(np.mean(np.abs(b) >= 0.999)), + } + + +def nearest_rank(values: list[int], fraction: float) -> int: + ordered = sorted(values) + return ordered[math.ceil(fraction * len(ordered)) - 1] + + +def main() -> None: + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument("--device-name", required=True) + parser.add_argument("--compile-options", required=True) + parser.add_argument("--run-options", required=True) + for name in ( + "source-onnx", "fixture", "cpu-output", "s25-output", "s25-inference-report", "compile-report", + "inference-report", "profile-report", "device-output", "output-report", + ): + parser.add_argument(f"--{name}", type=Path, required=True) + args = parser.parse_args() + compile_report = json.loads(args.compile_report.read_text(encoding="utf-8")) + inference = json.loads(args.inference_report.read_text(encoding="utf-8")) + profile = json.loads(args.profile_report.read_text(encoding="utf-8")) + s25_inference = json.loads(args.s25_inference_report.read_text(encoding="utf-8")) + if any(report.get("status") != "SUCCESS" for report in (compile_report, inference, profile)): + raise RuntimeError("compile, inference and profile must all succeed") + if compile_report.get("source_model_id") != "mqyer339n" or compile_report.get("options") != args.compile_options: + raise RuntimeError("compile did not use pinned Qwen3-TTS vocoder source/options") + target_id = compile_report["target_model_id"] + if inference.get("model_id") != target_id or profile.get("model_id") != target_id: + raise RuntimeError("inference/profile used a different target artifact") + if inference.get("input_dataset_id") != "d7m80jl32": + raise RuntimeError("inference did not use the retained vocoder fixture") + if (s25_inference.get("status") != "SUCCESS" or s25_inference.get("model_id") != "mng7kwxon" + or s25_inference.get("input_dataset_id") != inference["input_dataset_id"] + or s25_inference.get("device", {}).get("name") != "Samsung Galaxy S25"): + raise RuntimeError("historical S25 output lacks matching model/device/dataset provenance") + for report in (compile_report, inference, profile): + if report.get("device", {}).get("name") != args.device_name: + raise RuntimeError("job did not use the exact requested device") + if inference.get("options") != args.run_options or profile.get("options") != args.run_options: + raise RuntimeError("inference/profile requested different compute options") + files = { + name: {"bytes": path.stat().st_size, "sha256": sha256(path)} + for name, path in { + "source_onnx": args.source_onnx, + "fixture": args.fixture, + "cpu_output": args.cpu_output, + "s25_output": args.s25_output, + "device_output": args.device_output, + }.items() + } + for name, expected in { + "source_onnx": SOURCE_SHA256, + "fixture": FIXTURE_SHA256, + "cpu_output": CPU_OUTPUT_SHA256, + }.items(): + if files[name]["sha256"] != expected: + raise RuntimeError(f"{name} differs from the pinned source/fixture/reference") + with np.load(args.fixture, allow_pickle=False) as data: + if data.files != ["quantized"] or data["quantized"].shape != (1, 512, 97): + raise RuntimeError("fixture input contract differs") + cpu = read_output(args.cpu_output, "wav") + s25 = read_output(args.s25_output, "output_0__0") + output = read_output(args.device_output, "output_0__0") + execution = profile["profile"] + times_us = execution["execution_summary"]["all_inference_times"] + if not times_us or any(not isinstance(value, int) or value <= 0 for value in times_us): + raise RuntimeError("missing or invalid device samples") + units = Counter(row.get("compute_unit") for row in execution["execution_detail"]) + if not units: + raise RuntimeError("no compute-unit placement detail") + report = { + "scope": "one Qwen3-TTS code2wav 48,000-sample component on one retained fixture; no complete TTS stream", + "status": "component_executed_quality_unqualified", + "device": profile["device"], + "compile_job_id": compile_report["job_id"], + "inference_job_id": inference["job_id"], + "profile_job_id": profile["job_id"], + "target_model_id": target_id, + "input_dataset_id": inference["input_dataset_id"], + "s25_prior_inference_job_id": s25_inference["job_id"], + "requested_run_options": args.run_options, + "files": files, + "cpu_source_vs_device": compare(cpu, output), + "s25_gpu_vs_device": compare(s25, output), + "profile": { + "sample_count": len(times_us), + "sample_min_us": min(times_us), + "nearest_rank_p50_us": nearest_rank(times_us, 0.50), + "nearest_rank_p95_us": nearest_rank(times_us, 0.95), + "reported_estimated_inference_time_us": execution["execution_summary"]["estimated_inference_time"], + "reported_peak_memory_bytes": execution["execution_summary"]["estimated_inference_peak_memory"], + "compute_unit_row_counts": dict(units), + }, + "limits": [ + "Historical source export does not attest its exact checkpoint revision.", + "This fixed component waveform has no listening or task-quality tolerance.", + "Hosted component profiling excludes talker, predictor, stage handoff, streaming, admission and sustained power/thermal behavior.", + ], + } + args.output_report.write_text(json.dumps(report, indent=2) + "\n", encoding="utf-8") + print(json.dumps({"status": report["status"], "profile": report["profile"]}, indent=2)) + + +if __name__ == "__main__": + main() diff --git a/benchmarks/edge_harness/experiments/collect_spark_aihub_component.py b/benchmarks/edge_harness/experiments/collect_aihub_component.py similarity index 93% rename from benchmarks/edge_harness/experiments/collect_spark_aihub_component.py rename to benchmarks/edge_harness/experiments/collect_aihub_component.py index dd0147ad7..85eb1819d 100644 --- a/benchmarks/edge_harness/experiments/collect_spark_aihub_component.py +++ b/benchmarks/edge_harness/experiments/collect_aihub_component.py @@ -1,5 +1,5 @@ #!/usr/bin/env python3 -"""Preserve raw Workbench Spark-layer jobs submitted in an evidence directory. +"""Preserve raw Workbench component jobs submitted in an evidence directory. Requires qai-hub authentication through the local client configuration. The submission JSON files identify existing jobs; this script never resubmits them. @@ -70,10 +70,11 @@ def collect(evidence_dir: Path, kind: str, client: hub.Client) -> str: def main() -> None: parser = argparse.ArgumentParser(description=__doc__) parser.add_argument("evidence_dirs", nargs="+", type=Path) + parser.add_argument("--kinds", nargs="+", choices=("inference", "profile"), default=("inference", "profile")) args = parser.parse_args() client = hub.Client() for directory in args.evidence_dirs: - for kind in ("inference", "profile"): + for kind in args.kinds: print(f"{directory.name}: {collect(directory, kind, client)}") diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/spark_rb3_full_attention/README.md b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/spark_rb3_full_attention/README.md index eea900b3a..30db639a2 100644 --- a/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/spark_rb3_full_attention/README.md +++ b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/spark_rb3_full_attention/README.md @@ -11,7 +11,7 @@ Four routes were tested on exact device **Dragonwing RB3 Gen 2 Vision Kit**, usi | Compile original FP32 source to ONNX `mmxj02ljq`, request CPU | [Compile](compile_cpu_report.json) `jglyxowj5`, [inference](cpu/inference_report.json) `jgolrodqg` and [profile](cpu/profile_report.json) `jpvldemk5` passed. All 56 execution-detail rows were CPU. | [Output](cpu/device_output.npz) hidden/K/V relative L2 versus original ONNX Runtime 1.29 CPU was 8.73e-7/2.98e-7/3.37e-7. [Audit](cpu/audit_report.json): 100 samples, nearest-rank p50/p95 19.304/21.113 ms (minimum 19.104 ms). This is explicitly CPU, not NPU fallback masquerading as acceleration. | | Compile original source with calibration dataset `d7x8e3d59` using `--quantize_full_type int8 --quantize_io` to QNN DLC `mqkp10ezm`, request NPU | [Compile](compile_w8a8_report.json) `jpyoxq885`, [inference](w8a8/inference_report.json) `jgzlm8yo5` and [profile](w8a8/profile_report.json) `j5wl78z3p` passed. All 61 execution-detail rows were NPU. | [Output](w8a8/device_output.npz) hidden/K/V relative L2 versus FP32 CPU was **20.914%/1.702%/4.413%**. [Audit](w8a8/audit_report.json): 100 samples, p50/p95 5.610/5.761 ms (minimum 5.089 ms). This precision is **numerically unqualified**; no next-token/task tolerance is established. | -All successful jobs used the same fixture dataset `d7m83gjy2` and returned finite FP32 hidden/new-key/new-value tensors. The service `estimated_inference_time` equals each sample minimum, not the median. The [CPU](cpu/audit_report.json) and [W8A8 NPU](w8a8/audit_report.json) audits pin source and fixture hashes, exact job/device/model IDs, output hashes, placement rows and full precision differences. [Submission records](compile_w8a8_submission.json), [initial failed submissions](inference_submission.json), [RB3 W8A16 compile submission](compile_rb3_submission.json), and [CPU compile submission](compile_cpu_submission.json) preserve attempted settings. The scripts [collect existing jobs](../../../../experiments/collect_spark_aihub_component.py) and [audit fallback variants](../../../../experiments/audit_spark_qualcomm_fallback.py) without embedded credentials. +All successful jobs used the same fixture dataset `d7m83gjy2` and returned finite FP32 hidden/new-key/new-value tensors. The service `estimated_inference_time` equals each sample minimum, not the median. The [CPU](cpu/audit_report.json) and [W8A8 NPU](w8a8/audit_report.json) audits pin source and fixture hashes, exact job/device/model IDs, output hashes, placement rows and full precision differences. [Submission records](compile_w8a8_submission.json), [initial failed submissions](inference_submission.json), [RB3 W8A16 compile submission](compile_rb3_submission.json), and [CPU compile submission](compile_cpu_submission.json) preserve attempted settings. The scripts [collect existing jobs](../../../../experiments/collect_aihub_component.py) and [audit fallback variants](../../../../experiments/audit_spark_qualcomm_fallback.py) without embedded credentials. The CPU and NPU numbers are different precisions and outputs, not a qualified speedup comparison. Neither job includes 27 other decoder layers, prefill, continuous decode, KV/ring, sampling, a resident Omni controller, complete-request timing or sustained power/thermal behavior. Workbench is a test facility, not a deployment dependency. diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/spark_sa8775_full_attention/README.md b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/spark_sa8775_full_attention/README.md index 37cb5a345..822e5d843 100644 --- a/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/spark_sa8775_full_attention/README.md +++ b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/spark_sa8775_full_attention/README.md @@ -8,6 +8,6 @@ The [three outputs](device_output.npz) were finite FP32 hidden/new-key/new-value All 73 execution-detail rows in the profile were attributed to NPU. The 100 component samples had nearest-rank p50/p95 **1.837/2.079 ms** (minimum 1.749 ms); the service's `estimated_inference_time` was that minimum, not the median. Reported component inference peak memory was 90,877,952 bytes. These hosted component measurements exclude prefill, 27 other decoder layers, sampling, handoff, loading and a resident KV/ring/controller. They are not paired speed comparisons with other devices or OS builds. -The [audit script](../../../../experiments/audit_spark_qualcomm_attention.py) reproduces the provenance and numerical checks using pinned source artifact paths in the S24 record. The [collector](../../../../experiments/collect_spark_aihub_component.py) retrieves these existing jobs via the local client configuration; neither script contains credentials. +The [audit script](../../../../experiments/audit_spark_qualcomm_attention.py) reproduces the provenance and numerical checks using pinned source artifact paths in the S24 record. The [collector](../../../../experiments/collect_aihub_component.py) retrieves these existing jobs via the local client configuration; neither script contains credentials. **Matrix status: component NPU inference/profiled; NOT E2E.** Full qualification needs a complete device-resident Spark artifact and Omni backend with prefill/decode/KV-ring/sampling, state, token quality, cancellation and memory admission, followed by sustained power and thermal measurement. diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/spark_xelite_full_attention/README.md b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/spark_xelite_full_attention/README.md index becc0709b..0fb81242b 100644 --- a/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/spark_xelite_full_attention/README.md +++ b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/spark_xelite_full_attention/README.md @@ -8,6 +8,6 @@ The [three outputs](device_output.npz) were finite FP32 hidden/new-key/new-value All 73 execution-detail rows in the device profile were attributed to NPU. The 100 component inference-time samples had nearest-rank p50/p95 **1.433/1.606 ms** (minimum 1.346 ms). The service's `estimated_inference_time` was 1.346 ms, matching the minimum rather than the median. The reported component inference peak memory was 18,423,808 bytes. These are hosted component-job measurements; they exclude prefill, 27 other decoder layers, sampling, transfer, loading and a resident KV/ring/controller. Hardware, OS and hosted power state differ from the mobile runs, so these are not paired speed comparisons. -Re-audit with `benchmarks/edge_harness/experiments/audit_spark_qualcomm_attention.py` and the [pinned source artifact paths](../spark_s24_full_attention/README.md). `benchmarks/edge_harness/experiments/collect_spark_aihub_component.py` retrieves the existing jobs using the local AI Hub client configuration. Neither script contains credentials. +Re-audit with `benchmarks/edge_harness/experiments/audit_spark_qualcomm_attention.py` and the [pinned source artifact paths](../spark_s24_full_attention/README.md). `benchmarks/edge_harness/experiments/collect_aihub_component.py` retrieves the existing jobs using the local AI Hub client configuration. Neither script contains credentials. **Matrix status: component NPU inference/profiled; NOT E2E.** Full qualification still needs an X Elite machine running the complete 28-layer Spark model through a resident Omni backend with prefill/decode/KV-ring/sampling, state and cancellation, token-quality checks, memory admission and sustained power/thermal measurements. Workbench is a test facility, not that deployment runtime. diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260924/README.md b/benchmarks/edge_harness/results/e2e_expansion_20260924/README.md new file mode 100644 index 000000000..c01e1322f --- /dev/null +++ b/benchmarks/edge_harness/results/e2e_expansion_20260924/README.md @@ -0,0 +1,3 @@ +# 2026-09-24 Qualcomm component expansion + +The [Qwen3-TTS vocoder study](evidence/qwen_tts_vocoder_qualcomm/README.md) reuses a retained fixed-shape Code2Wav export and historical Workbench input to test numerical behavior on SA8775P and other Qualcomm settings. The fresh SA8775P GPU inference produces a saturated waveform, so its historical profile must not be interpreted as a usable TTS path. Workbench jobs for RB3, X Elite and SA8775P controls were still pending when this snapshot was written; their submission IDs are retained for completion. No complete on-device TTS stream or model-quality qualification is claimed. diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/README.md b/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/README.md new file mode 100644 index 000000000..2efdcc16f --- /dev/null +++ b/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/README.md @@ -0,0 +1,13 @@ +# Qwen3-TTS Code2Wav component across Qualcomm devices + +**The retained Qwen3-TTS Code2Wav export does not yet have a numerically qualified SA8775P GPU path.** A fresh inference on the exact hosted SA8775P ADP returned a severely saturated waveform on the same input for which original ONNX Runtime CPU and prior S25 GPU outputs remained unsaturated. Other submitted device jobs were pending at this evidence snapshot; they are not counted as passes. + +The historical Workbench source model `mqyer339n` is a 423,655,047-byte ONNX graph with one FP32 input `[1,512,97]` and one 48,000-sample output. The [manifest](artifact_manifest.json) pins its SHA256, the retained Workbench fixture dataset `d7m80jl32`, a local ONNX Runtime 1.29 CPU output, compiled target downloads, and the prior [S25 GPU output](s25_reference_output.npz). The source export script identifies the Qwen3-TTS 0.6B CustomVoice model family, but did not attest the exact checkpoint revision; these results must not be promoted to a revision-qualified release claim. Large source/target artifacts and the fixture remain outside Git under `/home/zhout/project/edge_infer/models/`. + +The [S25 historical inference](s25_reference_inference.json) on the same fixture differed from local FP32 ONNX CPU by **4.24% relative L2 / 27.46 dB SNR** ([comparison](s25_cpu_comparison.json)); that waveform has no listening-quality tolerance. A fresh [SA8775P inference](sa8775p/inference_report.json) used historical compiled TFLite model `mnze95don` and requested GPU. Its [output](sa8775p/device_output.npz) had **96.63%** of samples at absolute amplitude at least 0.999, RMS **0.989** versus CPU **0.0837**, relative L2 **11.832**, and SNR **−21.46 dB**. The fresh [profile](sa8775p/profile_report.json) attributed 403 execution-detail rows to CPU and 335 to GPU; 100 component samples had nearest-rank p50/p95 **1.776/1.880 s** (minimum 1.675 s). The [audit](sa8775p/audit_report.json) pins all output hashes, waveform differences and placement. This is measured execution of a **numerically failed** output, not a usable TTS performance result. The [SA8775P compile record](sa8775p/compile_report.json) pins the artifact and source IDs. + +The re-fetched *historical* [SA8775P profile](sa8775p/historical_profile_report.json) has 100 component samples, nearest-rank p50/p95 **1.751/1.874 s**, and 403 CPU plus 335 GPU execution-detail rows. The *historical* [RB3 profile](rb3/historical_profile_report.json) has 100 samples, p50/p95 **3.143/3.189 s**, also with 403 CPU plus 335 GPU rows. Their previously quoted 1.701/3.107 s estimated-time fields are sample minima, not medians. Both profiles exclude talker/predictor, stage handoff, streaming and full-request time. The SA and RB3 TFLite target downloads are bitwise identical, but that does not establish matching runtime outputs or quality. + +Current [RB3](rb3/inference_submission.json) fresh job submissions, [SA CPU](sa8775p/cpu_control/inference_submission.json) and [FP32-preserving GPU](sa8775p/gpu_fp32/inference_submission.json) controls, and X Elite [DirectML GPU](xelite/gpu/inference_submission.json) and [CPU](xelite/cpu/inference_submission.json) submissions remain pending in this snapshot. The [X Elite ONNX compile](xelite/compile_report.json) passed after the older TFLite target was rejected on Windows ARM. Pending jobs have no numerical or latency conclusion. The [collector](../../../../experiments/collect_aihub_component.py) retrieves their terminal reports without resubmitting jobs, and the [audit script](../../../../experiments/audit_qwen_tts_vocoder_qualcomm.py) checks source/fixture hashes, device and model IDs, actual placement, waveform error, saturation and sample percentiles. + +This is one fixed vocoder component with a retained input, not complete Qwen3-TTS. The next gates are a quality-passing SA/RB3/X Elite target, talker and code predictor numerical checks, device-resident handoff/co-residency, playable streaming, cancellation, memory admission and sustained power/thermal profiling. diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/artifact_manifest.json b/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/artifact_manifest.json new file mode 100644 index 000000000..ef009dee0 --- /dev/null +++ b/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/artifact_manifest.json @@ -0,0 +1,79 @@ +{ + "facility": "Qualcomm AI Hub Workbench", + "source_model_ids": { + "talker": "mq3xre4rq", + "vocoder": "mqyer339n" + }, + "fixture_dataset_id": "d7m80jl32", + "reference_inference_job_id": "jpx428ojg", + "checkpoint_revision": "not attested by historical export; component provenance only", + "onnxruntime_cpu_version": "1.29.0", + "files": { + "talker_source_onnx": { + "path": "/home/zhout/project/edge_infer/models/qwen3tts_talker_step2_L256_20260924.onnx", + "bytes": 1776377476, + "sha256": "41feb08517678e94d9301e992d0df610fc60e7c9faba5600703298c86554fd22" + }, + "vocoder_source_onnx": { + "path": "/home/zhout/project/edge_infer/models/qwen3tts_code2wav_c25_20260924.onnx", + "bytes": 423655047, + "sha256": "7c07666229c6d404894132e22f784525e3212a49efad55ddd532eda5286c2b2b" + }, + "vocoder_fixture": { + "path": "/home/zhout/project/edge_infer/models/qwen3tts_vocoder_fixture_20260924.npz", + "bytes": 129721, + "sha256": "dfca9e8d2a724a568a31b6cd18ff6a52fdc205fd34e13cbf1cd75f0f7937e82d" + }, + "vocoder_ort_cpu_output": { + "path": "/home/zhout/project/edge_infer/models/qwen3tts_vocoder_ort_cpu_output_20260924.npz", + "bytes": 179942, + "sha256": "8de78b94b59f01e49852f7706adbd2508a9976b8e2705cfd3b94d07bb3606cb1" + }, + "s25_historical_gpu_output": { + "path": "/home/zhout/project/edge_infer/vllm-omni-edge/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/s25_reference_output.npz", + "bytes": 115235, + "sha256": "4a26486d5e84a6e22d16f9b26f995b8fe645c29bbd70b103615ec35a0fcb10a0" + }, + "sa8775p_tflite": { + "path": "/home/zhout/project/edge_infer/models/qwen3tts_vocoder_sa8775p_20260924.tflite", + "bytes": 421658132, + "sha256": "29826da6ecc1ec2efc0e3589c3cebb42b20d7e20c0975a037d9f51625d6638cd", + "model_id": "mnze95don", + "compile_job_id": "jp410o3vp" + }, + "rb3_tflite": { + "path": "/home/zhout/project/edge_infer/models/qwen3tts_vocoder_rb3_20260924.tflite", + "bytes": 421658132, + "sha256": "29826da6ecc1ec2efc0e3589c3cebb42b20d7e20c0975a037d9f51625d6638cd", + "model_id": "mn0wyzd3q", + "compile_job_id": "j5mmy28w5" + }, + "xelite_onnx": { + "path": "/home/zhout/project/edge_infer/models/qwen3tts_vocoder_xelite_20260924.onnx.onnx.zip", + "bytes": 394632184, + "sha256": "e8f80a85d6f36248ad015edf63e553514011ae621d234a1e3d88ea71f93568f0", + "model_id": "mnz079ezm", + "compile_job_id": "j5qlyz8op" + } + }, + "fixture": { + "shape": [ + 1, + 512, + 97 + ], + "dtype": "float32", + "min": -90.89772033691406, + "max": 65.62191772460938, + "mean": 0.0705118179321289, + "std": 11.206748962402344 + }, + "cpu_reference": { + "shape": [ + 1, + 48000 + ], + "dtype": "float32", + "rms": 0.08373439311981201 + } +} diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/rb3/compile_report.json b/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/rb3/compile_report.json new file mode 100644 index 000000000..3ced67bbf --- /dev/null +++ b/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/rb3/compile_report.json @@ -0,0 +1,31 @@ +{ + "retrieved_utc": "2026-09-23T22:21:24.623865+00:00", + "qai_hub_version": "0.55.0", + "facility": "Qualcomm AI Hub Workbench", + "job_id": "j5mmy28w5", + "url": "https://workbench.aihub.qualcomm.com/jobs/j5mmy28w5/", + "status": "SUCCESS", + "status_message": "", + "source_model_id": "mqyer339n", + "target_model_id": "mn0wyzd3q", + "device": { + "name": "Dragonwing RB3 Gen 2 Vision Kit", + "os": "1.6", + "attributes": [ + "os:qc_linux", + "framework:tflite", + "framework:onnx", + "vendor:qualcomm", + "abi:aarch64-oe-linux-gcc11", + "format:iot", + "chipset:qualcomm-qcs6490", + "chipset:qcs6490", + "chipset:qualcomm-dragonwing-qcs6490", + "hexagon:v68", + "soc-model:93", + "framework:qnn" + ] + }, + "options": "--target_runtime tflite", + "hub_version": "aihub-2026.08.28.1" +} diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/rb3/historical_profile_report.json b/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/rb3/historical_profile_report.json new file mode 100644 index 000000000..065af173f --- /dev/null +++ b/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/rb3/historical_profile_report.json @@ -0,0 +1,5361 @@ +{ + "retrieved_utc": "2026-09-23T22:42:00.985485+00:00", + "qai_hub_version": "0.55.0", + "facility": "Qualcomm AI Hub Workbench", + "job_id": "jgnn8ynrg", + "url": "https://workbench.aihub.qualcomm.com/jobs/jgnn8ynrg/", + "status": "SUCCESS", + "status_message": "", + "options": "--compute_unit gpu", + "hub_version": "aihub-2026.08.28.1", + "device": { + "name": "Dragonwing RB3 Gen 2 Vision Kit", + "os": "1.6", + "attributes": [ + "os:qc_linux", + "framework:tflite", + "framework:onnx", + "vendor:qualcomm", + "abi:aarch64-oe-linux-gcc11", + "format:iot", + "chipset:qualcomm-qcs6490", + "chipset:qcs6490", + "chipset:qualcomm-dragonwing-qcs6490", + "hexagon:v68", + "soc-model:93", + "framework:qnn" + ] + }, + "model_id": "mn0wyzd3q", + "shapes": { + "quantized": [ + [ + 1, + 512, + 97 + ], + "float32" + ] + }, + "profile": { + "execution_summary": { + "estimated_inference_time": 3107047, + "estimated_inference_peak_memory": 326467584, + "first_load_time": 362148768, + "first_load_peak_memory": 853000192, + "warm_load_time": 613880, + "warm_load_peak_memory": 724815872, + "compile_time": 0, + "compile_peak_memory": 0, + "compile_memory_increase_range": [ + 0, + 0 + ], + "compile_memory_peak_range": [ + 0, + 0 + ], + "first_load_memory_increase_range": [ + 292646672, + 293447152 + ], + "first_load_memory_peak_range": [ + 850108416, + 850908896 + ], + "warm_load_memory_increase_range": [ + 290236560, + 291284112 + ], + "warm_load_memory_peak_range": [ + 721649664, + 722697216 + ], + "inference_memory_increase_range": [ + 0, + 0 + ], + "inference_memory_peak_range": [ + 4096, + 30776960 + ], + "all_compile_times": [], + "all_first_load_times": [ + 362148768 + ], + "all_warm_load_times": [ + 613880 + ], + "all_inference_times": [ + 3168836, + 3136459, + 3193461, + 3182310, + 3128086, + 3126759, + 3134716, + 3130726, + 3119672, + 3140434, + 3175111, + 3197642, + 3158533, + 3152371, + 3134727, + 3124040, + 3133318, + 3199542, + 3120793, + 3165785, + 3155564, + 3116039, + 3128231, + 3157719, + 3155019, + 3151524, + 3156020, + 3149471, + 3153522, + 3148211, + 3175902, + 3123439, + 3179625, + 3189244, + 3182995, + 3148867, + 3152373, + 3180883, + 3151112, + 3119988, + 3127442, + 3171985, + 3170447, + 3127481, + 3129392, + 3159411, + 3115195, + 3127663, + 3129020, + 3153254, + 3127477, + 3121492, + 3149565, + 3115466, + 3109029, + 3150730, + 3121825, + 3132025, + 3208400, + 3136900, + 3145602, + 3139222, + 3114681, + 3147196, + 3146603, + 3167071, + 3148524, + 3123500, + 3168931, + 3160454, + 3141264, + 3107047, + 3135410, + 3131646, + 3117477, + 3163254, + 3215143, + 3120564, + 3150380, + 3111667, + 3118592, + 3154835, + 3153288, + 3149393, + 3130609, + 3122399, + 3126626, + 3116390, + 3168016, + 3153205, + 3134286, + 3145118, + 3139339, + 3126955, + 3127935, + 3139403, + 3151512, + 3146868, + 3116367, + 3142822 + ] + }, + "execution_detail": [ + { + "name": "model/tf.compat.v1.transpose/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 53, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad/Pad", + "type": "PAD", + "compute_unit": "CPU", + "execution_time": 28, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "CPU", + "execution_time": 6302, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_1/Add", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 1406, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 28, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean/Mean", + "type": "MEAN", + "compute_unit": "CPU", + "execution_time": 2, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_2/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt/Sqrt", + "type": "SQRT", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal/Reciprocal", + "type": "DIV", + "compute_unit": "CPU", + "execution_time": 16, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_1/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 3521, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_1/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 44, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 26, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_1/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 30, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_3/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 53, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_3/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 39, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_4/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.negative/Neg", + "type": "NEG", + "compute_unit": "CPU", + "execution_time": 32, + "execution_cycles": 0 + }, + { + "name": "model/tf.concat/node_cat_3", + "type": "CONCATENATION", + "compute_unit": "CPU", + "execution_time": 15, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_4/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 22, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_3/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 47, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_1/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_1/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 41, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_2/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 35, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_5/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 32, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_5/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 47, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_6/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 10, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.negative_1/Neg", + "type": "NEG", + "compute_unit": "CPU", + "execution_time": 31, + "execution_cycles": 0 + }, + { + "name": "model/tf.concat_1/node_cat_4", + "type": "CONCATENATION", + "compute_unit": "CPU", + "execution_time": 25, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_6/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 23, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_4/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 478, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_4/Add", + "type": "BATCH_MATMUL", + "compute_unit": "CPU", + "execution_time": 27, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_7/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 27, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_5/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 158, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.softmax/Softmax", + "type": "SOFTMAX", + "compute_unit": "CPU", + "execution_time": 38, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_2/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_2/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 94, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_3/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 314, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_3/MatMul", + "type": "BATCH_MATMUL", + "compute_unit": "CPU", + "execution_time": 32, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_5/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_3/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 2236, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_8/Mul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 30, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_6/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_9/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_1/Mean", + "type": "MEAN", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_7/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt_1/Sqrt", + "type": "SQRT", + "compute_unit": "CPU", + "execution_time": 11, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal_1/Reciprocal", + "type": "DIV", + "compute_unit": "CPU", + "execution_time": 1686, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_10/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 80, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_5/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 22, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sigmoid/Sigmoid", + "type": "LOGISTIC", + "compute_unit": "CPU", + "execution_time": 1728, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_12/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 33, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_6/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 2147, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_13/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 27, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_14/Mul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 8, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_8/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_15/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_2/Mean", + "type": "MEAN", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_9/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 9, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt_2/Sqrt", + "type": "SQRT", + "compute_unit": "CPU", + "execution_time": 5062, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal_2/Reciprocal", + "type": "DIV", + "compute_unit": "CPU", + "execution_time": 41, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_16/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_8/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 25, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_7/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 28, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_4/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 45, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_6/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 38, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_18/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 8, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_10/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 31, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_11/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 20, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.negative_2/Neg", + "type": "NEG", + "compute_unit": "CPU", + "execution_time": 21, + "execution_cycles": 0 + }, + { + "name": "model/tf.concat_2/node_cat_5", + "type": "CONCATENATION", + "compute_unit": "CPU", + "execution_time": 42, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_19/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_10/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 39, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_8/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 35, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_5/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 23, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_7/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 37, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_20/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_12/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 27, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_13/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 20, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.negative_3/Neg", + "type": "NEG", + "compute_unit": "CPU", + "execution_time": 22, + "execution_cycles": 0 + }, + { + "name": "model/tf.concat_3/node_cat_6", + "type": "CONCATENATION", + "compute_unit": "CPU", + "execution_time": 337, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_21/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 26, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_11/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 24, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_11/Add", + "type": "BATCH_MATMUL", + "compute_unit": "CPU", + "execution_time": 100, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_22/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 38, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_12/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.softmax_1/Softmax", + "type": "SOFTMAX", + "compute_unit": "CPU", + "execution_time": 98, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_9/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 329, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_6/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 30, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_8/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_10/MatMul", + "type": "BATCH_MATMUL", + "compute_unit": "CPU", + "execution_time": 2215, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_10/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 41, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_7/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_23/Mul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_13/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_24/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_3/Mean", + "type": "MEAN", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_14/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 1909, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt_3/Sqrt", + "type": "SQRT", + "compute_unit": "CPU", + "execution_time": 87, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal_3/Reciprocal", + "type": "DIV", + "compute_unit": "CPU", + "execution_time": 22, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_25/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 1905, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_12/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 40, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sigmoid_1/Sigmoid", + "type": "LOGISTIC", + "compute_unit": "CPU", + "execution_time": 2549, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_27/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 29, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_13/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 10, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_28/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_29/Mul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_15/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_30/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 10, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_4/Mean", + "type": "MEAN", + "compute_unit": "CPU", + "execution_time": 4817, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_16/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 48, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt_4/Sqrt", + "type": "SQRT", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal_4/Reciprocal", + "type": "DIV", + "compute_unit": "CPU", + "execution_time": 31, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_31/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 32, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_15/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 37, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_14/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 36, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_8/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_11/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 28, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_33/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 24, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_17/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 23, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_18/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 39, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.negative_4/Neg", + "type": "NEG", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.concat_4/node_cat_7", + "type": "CONCATENATION", + "compute_unit": "CPU", + "execution_time": 25, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_34/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 28, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_17/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 24, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_15/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 36, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_9/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 8, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_12/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 29, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_35/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 17, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_19/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 22, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_20/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 397, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.negative_5/Neg", + "type": "NEG", + "compute_unit": "CPU", + "execution_time": 20, + "execution_cycles": 0 + }, + { + "name": "model/tf.concat_5/node_cat_8", + "type": "CONCATENATION", + "compute_unit": "CPU", + "execution_time": 30, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_36/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 143, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_18/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 39, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_18/Add", + "type": "BATCH_MATMUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_37/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 79, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_19/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 311, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.softmax_2/Softmax", + "type": "SOFTMAX", + "compute_unit": "CPU", + "execution_time": 26, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_16/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_10/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 1933, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_13/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 33, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_17/MatMul", + "type": "BATCH_MATMUL", + "compute_unit": "CPU", + "execution_time": 8, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_15/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_11/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_38/Mul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_20/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 11, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_39/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 1563, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_5/Mean", + "type": "MEAN", + "compute_unit": "CPU", + "execution_time": 71, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_21/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 21, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt_5/Sqrt", + "type": "SQRT", + "compute_unit": "CPU", + "execution_time": 1474, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal_5/Reciprocal", + "type": "DIV", + "compute_unit": "CPU", + "execution_time": 38, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_40/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 1913, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_19/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 35, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sigmoid_2/Sigmoid", + "type": "LOGISTIC", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_42/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_20/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_43/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_44/Mul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 10, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_22/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 4566, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_45/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 36, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_6/Mean", + "type": "MEAN", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_23/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 24, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt_6/Sqrt", + "type": "SQRT", + "compute_unit": "CPU", + "execution_time": 28, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal_6/Reciprocal", + "type": "DIV", + "compute_unit": "CPU", + "execution_time": 21, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_46/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 15, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_22/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 6, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_21/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 22, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_12/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 14, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_16/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 17, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_48/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 40, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_24/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_25/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 20, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.negative_6/Neg", + "type": "NEG", + "compute_unit": "CPU", + "execution_time": 25, + "execution_cycles": 0 + }, + { + "name": "model/tf.concat_6/node_cat_9", + "type": "CONCATENATION", + "compute_unit": "CPU", + "execution_time": 17, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_49/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_24/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 5, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_22/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 20, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_13/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_17/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 17, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_50/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 261, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_26/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 14, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_27/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 20, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.negative_7/Neg", + "type": "NEG", + "compute_unit": "CPU", + "execution_time": 69, + "execution_cycles": 0 + }, + { + "name": "model/tf.concat_7/node_cat_10", + "type": "CONCATENATION", + "compute_unit": "CPU", + "execution_time": 33, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_51/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_25/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 41, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_25/Add", + "type": "BATCH_MATMUL", + "compute_unit": "CPU", + "execution_time": 239, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_52/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 26, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_26/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.softmax_3/Softmax", + "type": "SOFTMAX", + "compute_unit": "CPU", + "execution_time": 1232, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_23/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 27, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_14/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 8, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_18/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_24/MatMul", + "type": "BATCH_MATMUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_20/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_15/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 10, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_53/Mul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 1434, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_27/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 70, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_54/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 21, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_7/Mean", + "type": "MEAN", + "compute_unit": "CPU", + "execution_time": 1212, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_28/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 27, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt_7/Sqrt", + "type": "SQRT", + "compute_unit": "CPU", + "execution_time": 1550, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal_7/Reciprocal", + "type": "DIV", + "compute_unit": "CPU", + "execution_time": 26, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_55/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 6, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_26/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sigmoid_3/Sigmoid", + "type": "LOGISTIC", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_57/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_27/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 10, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_58/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 4172, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_59/Mul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 26, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_29/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_60/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 24, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_8/Mean", + "type": "MEAN", + "compute_unit": "CPU", + "execution_time": 28, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_30/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 19, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt_8/Sqrt", + "type": "SQRT", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal_8/Reciprocal", + "type": "DIV", + "compute_unit": "CPU", + "execution_time": 5, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_61/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 21, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_29/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_28/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 17, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_16/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 39, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_21/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_63/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 20, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_31/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 27, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_32/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 20, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.negative_8/Neg", + "type": "NEG", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.concat_8/node_cat_11", + "type": "CONCATENATION", + "compute_unit": "CPU", + "execution_time": 5, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_64/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 22, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_31/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 14, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_29/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 16, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_17/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 281, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_22/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 15, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_65/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 21, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_33/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 78, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_34/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 32, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.negative_9/Neg", + "type": "NEG", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.concat_9/node_cat_12", + "type": "CONCATENATION", + "compute_unit": "CPU", + "execution_time": 41, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_66/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 248, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_32/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 27, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_32/Add", + "type": "BATCH_MATMUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_67/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 1259, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_33/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 28, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.softmax_4/Softmax", + "type": "SOFTMAX", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_30/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_18/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_23/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_31/MatMul", + "type": "BATCH_MATMUL", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_25/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 1441, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_19/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 69, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_68/Mul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 17, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_34/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 1410, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_69/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 24, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_9/Mean", + "type": "MEAN", + "compute_unit": "CPU", + "execution_time": 1211, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_35/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 27, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt_9/Sqrt", + "type": "SQRT", + "compute_unit": "CPU", + "execution_time": 6, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal_9/Reciprocal", + "type": "DIV", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_70/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_33/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sigmoid_4/Sigmoid", + "type": "LOGISTIC", + "compute_unit": "CPU", + "execution_time": 10, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_72/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 3528, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_34/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 27, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_73/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_74/Mul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 21, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_36/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 28, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_75/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 16, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_10/Mean", + "type": "MEAN", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_37/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 3, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt_10/Sqrt", + "type": "SQRT", + "compute_unit": "CPU", + "execution_time": 22, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal_10/Reciprocal", + "type": "DIV", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_76/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 16, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_36/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 36, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_35/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_20/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 21, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_26/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 28, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_78/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 19, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_38/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_39/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.negative_10/Neg", + "type": "NEG", + "compute_unit": "CPU", + "execution_time": 23, + "execution_cycles": 0 + }, + { + "name": "model/tf.concat_10/node_cat_13", + "type": "CONCATENATION", + "compute_unit": "CPU", + "execution_time": 14, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_79/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 19, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_38/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 264, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_36/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 17, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_21/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 20, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_27/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 73, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_80/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 32, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_40/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_41/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 38, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.negative_11/Neg", + "type": "NEG", + "compute_unit": "CPU", + "execution_time": 240, + "execution_cycles": 0 + }, + { + "name": "model/tf.concat_11/node_cat_14", + "type": "CONCATENATION", + "compute_unit": "CPU", + "execution_time": 27, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_81/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_39/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 1202, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_39/Add", + "type": "BATCH_MATMUL", + "compute_unit": "CPU", + "execution_time": 28, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_82/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 6, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_40/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.softmax_5/Softmax", + "type": "SOFTMAX", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_37/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_22/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 11, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_28/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 1168, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_38/MatMul", + "type": "BATCH_MATMUL", + "compute_unit": "CPU", + "execution_time": 55, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_30/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 16, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_23/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 1181, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_83/Mul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 28, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_41/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 1173, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_84/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 25, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_11/Mean", + "type": "MEAN", + "compute_unit": "CPU", + "execution_time": 6, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_42/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt_11/Sqrt", + "type": "SQRT", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal_11/Reciprocal", + "type": "DIV", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_85/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 9, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_40/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 3494, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sigmoid_5/Sigmoid", + "type": "LOGISTIC", + "compute_unit": "CPU", + "execution_time": 27, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_87/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_41/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 23, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_88/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 29, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_89/Mul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 17, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_43/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 11, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_90/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_12/Mean", + "type": "MEAN", + "compute_unit": "CPU", + "execution_time": 23, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_44/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt_12/Sqrt", + "type": "SQRT", + "compute_unit": "CPU", + "execution_time": 16, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal_12/Reciprocal", + "type": "DIV", + "compute_unit": "CPU", + "execution_time": 37, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_91/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_43/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 21, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_42/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 28, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_24/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 16, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_31/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 9, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_93/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 3, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_45/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 25, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_46/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.negative_12/Neg", + "type": "NEG", + "compute_unit": "CPU", + "execution_time": 16, + "execution_cycles": 0 + }, + { + "name": "model/tf.concat_12/node_cat_15", + "type": "CONCATENATION", + "compute_unit": "CPU", + "execution_time": 264, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_94/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 16, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_45/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 19, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_43/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 70, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_25/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 32, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_32/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_95/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 39, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_47/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 240, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_48/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 26, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.negative_13/Neg", + "type": "NEG", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.concat_13/node_cat_16", + "type": "CONCATENATION", + "compute_unit": "CPU", + "execution_time": 1229, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_96/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 28, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_46/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 6, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_46/Add", + "type": "BATCH_MATMUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_97/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_47/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.softmax_6/Softmax", + "type": "SOFTMAX", + "compute_unit": "CPU", + "execution_time": 10, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_44/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 1169, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_26/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 54, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_33/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 16, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_45/MatMul", + "type": "BATCH_MATMUL", + "compute_unit": "CPU", + "execution_time": 1164, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_35/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 23, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_27/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 1181, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_98/Mul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 22, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_48/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 6, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_99/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_13/Mean", + "type": "MEAN", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_49/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt_13/Sqrt", + "type": "SQRT", + "compute_unit": "CPU", + "execution_time": 9, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal_13/Reciprocal", + "type": "DIV", + "compute_unit": "CPU", + "execution_time": 3474, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_100/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 23, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_47/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sigmoid_6/Sigmoid", + "type": "LOGISTIC", + "compute_unit": "CPU", + "execution_time": 24, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_102/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 31, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_48/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 15, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_103/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_104/Mul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 3, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_50/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 21, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_105/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_14/Mean", + "type": "MEAN", + "compute_unit": "CPU", + "execution_time": 17, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_51/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 32, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt_14/Sqrt", + "type": "SQRT", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal_14/Reciprocal", + "type": "DIV", + "compute_unit": "CPU", + "execution_time": 21, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_106/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 28, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_50/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 15, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_49/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 10, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_28/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 5, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_36/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 20, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_108/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_52/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 17, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_53/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 263, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.negative_14/Neg", + "type": "NEG", + "compute_unit": "CPU", + "execution_time": 15, + "execution_cycles": 0 + }, + { + "name": "model/tf.concat_14/node_cat_17", + "type": "CONCATENATION", + "compute_unit": "CPU", + "execution_time": 37, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_109/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 78, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_52/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_50/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 24, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_29/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_37/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_110/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_54/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_55/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.negative_15/Neg", + "type": "NEG", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.concat_15/node_cat_18", + "type": "CONCATENATION", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_111/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_53/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_53/Add", + "type": "BATCH_MATMUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_112/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_54/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.softmax_7/Softmax", + "type": "SOFTMAX", + "compute_unit": "GPU", + "execution_time": 92, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_51/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_30/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_38/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_52/MatMul", + "type": "BATCH_MATMUL", + "compute_unit": "GPU", + "execution_time": 116, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_40/transpose", + "type": "TRANSPOSE", + "compute_unit": "GPU", + "execution_time": 17, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_31/Reshape", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 16, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_113/Mul", + "type": "FULLY_CONNECTED", + "compute_unit": "GPU", + "execution_time": 538, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_55/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_114/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 8, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_15/Mean", + "type": "MEAN", + "compute_unit": "GPU", + "execution_time": 49, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_56/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt_15/Sqrt", + "type": "SQRT", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal_15/Reciprocal", + "type": "DIV", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_115/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 6, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_54/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "GPU", + "execution_time": 513, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sigmoid_7/Sigmoid", + "type": "LOGISTIC", + "compute_unit": "GPU", + "execution_time": 16, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_117/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_55/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "GPU", + "execution_time": 521, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_118/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_119/Mul", + "type": "FULLY_CONNECTED", + "compute_unit": "GPU", + "execution_time": 529, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_57/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_120/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 8, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_16/Mean", + "type": "MEAN", + "compute_unit": "GPU", + "execution_time": 49, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_58/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt_16/Sqrt", + "type": "SQRT", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal_16/Reciprocal", + "type": "DIV", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_121/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 6, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_59/Add", + "type": "FULLY_CONNECTED", + "compute_unit": "GPU", + "execution_time": 509, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose/conv1d_transpose/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose/conv1d_transpose", + "type": "TRANSPOSE_CONV", + "compute_unit": "GPU", + "execution_time": 1944, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose/conv1d_transpose/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad_1/Pad", + "type": "PAD", + "compute_unit": "GPU", + "execution_time": 44, + "execution_cycles": 0 + }, + { + "name": "model/node_conv1d_1/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/node_conv1d_1/depthwise", + "type": "DEPTHWISE_CONV_2D", + "compute_unit": "GPU", + "execution_time": 61, + "execution_cycles": 0 + }, + { + "name": "model/node_conv1d_1/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_17/Mean", + "type": "MEAN", + "compute_unit": "GPU", + "execution_time": 38, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.squared_difference/SquaredDifference", + "type": "SQUARED_DIFFERENCE", + "compute_unit": "GPU", + "execution_time": 40, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_18/Mean", + "type": "MEAN", + "compute_unit": "GPU", + "execution_time": 35, + "execution_cycles": 0 + }, + { + "name": "model/tf.__operators__.add/AddV2", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.rsqrt/Rsqrt", + "type": "RSQRT", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_123/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_124/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 94, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_125/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 93, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.subtract/Sub", + "type": "SUB", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.__operators__.add_1/AddV2", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_62/Add", + "type": "FULLY_CONNECTED", + "compute_unit": "GPU", + "execution_time": 8255, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.gelu/Gelu/Erfc", + "type": "GELU", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_63/Add", + "type": "FULLY_CONNECTED", + "compute_unit": "GPU", + "execution_time": 9218, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_64/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose_1/conv1d_transpose/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose_1/conv1d_transpose", + "type": "TRANSPOSE_CONV", + "compute_unit": "GPU", + "execution_time": 3825, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose_1/conv1d_transpose/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad_2/Pad", + "type": "PAD", + "compute_unit": "GPU", + "execution_time": 97, + "execution_cycles": 0 + }, + { + "name": "model/node_conv1d_2/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/node_conv1d_2/depthwise", + "type": "DEPTHWISE_CONV_2D", + "compute_unit": "GPU", + "execution_time": 139, + "execution_cycles": 0 + }, + { + "name": "model/node_conv1d_2/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_19/Mean", + "type": "MEAN", + "compute_unit": "GPU", + "execution_time": 83, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.squared_difference_1/SquaredDifference", + "type": "SQUARED_DIFFERENCE", + "compute_unit": "GPU", + "execution_time": 90, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_20/Mean", + "type": "MEAN", + "compute_unit": "GPU", + "execution_time": 85, + "execution_cycles": 0 + }, + { + "name": "model/tf.__operators__.add_2/AddV2", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.rsqrt_1/Rsqrt", + "type": "RSQRT", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_126/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 30, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_127/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 198, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_128/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 164, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.subtract_1/Sub", + "type": "SUB", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.__operators__.add_3/AddV2", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_67/Add", + "type": "FULLY_CONNECTED", + "compute_unit": "GPU", + "execution_time": 15366, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.gelu_1/Gelu/Erfc", + "type": "GELU", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_68/Add", + "type": "FULLY_CONNECTED", + "compute_unit": "GPU", + "execution_time": 17182, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_69/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad_3/Pad", + "type": "PAD", + "compute_unit": "GPU", + "execution_time": 88, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_1/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_1/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 45539, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_1/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_129/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 141, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_130/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_131/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_71/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose_2/conv1d_transpose/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose_2/conv1d_transpose", + "type": "TRANSPOSE_CONV", + "compute_unit": "GPU", + "execution_time": 437731, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose_2/conv1d_transpose/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_56/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "GPU", + "execution_time": 647, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_132/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 674, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_1/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_133/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_134/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_73/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad_4/Pad", + "type": "PAD", + "compute_unit": "GPU", + "execution_time": 681, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_2/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_2/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 106977, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_2/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_135/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 649, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_2/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_136/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_137/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_75/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_3/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_3/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 15502, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_3/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_77/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_138/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 649, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_3/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_139/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_140/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_78/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad_5/Pad", + "type": "PAD", + "compute_unit": "GPU", + "execution_time": 679, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_4/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_4/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 106849, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_4/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_141/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 644, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_4/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_142/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_143/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_80/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_5/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_5/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 15545, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_5/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_82/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_144/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 652, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_5/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_145/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_146/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_83/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad_6/Pad", + "type": "PAD", + "compute_unit": "GPU", + "execution_time": 738, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_6/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_6/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 106946, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_6/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_147/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 649, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_6/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_148/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_149/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_85/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_7/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_7/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 15569, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_7/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_87/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_150/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 648, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_7/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_151/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_152/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_88/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose_3/conv1d_transpose/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose_3/conv1d_transpose", + "type": "TRANSPOSE_CONV", + "compute_unit": "GPU", + "execution_time": 298568, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose_3/conv1d_transpose/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_57/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "GPU", + "execution_time": 1657, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_153/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 1682, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_8/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_154/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_155/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_90/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad_7/Pad", + "type": "PAD", + "compute_unit": "GPU", + "execution_time": 1726, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_8/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_8/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 133195, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_8/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_156/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 1665, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_9/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_157/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_158/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_92/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_9/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_9/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 19572, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_9/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_94/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_159/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 1659, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_10/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_160/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_161/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_95/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad_8/Pad", + "type": "PAD", + "compute_unit": "GPU", + "execution_time": 1688, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_10/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_10/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 132690, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_10/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_162/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 1650, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_11/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_163/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_164/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_97/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_11/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_11/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 19664, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_11/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_99/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_165/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 1678, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_12/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_166/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_167/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_100/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad_9/Pad", + "type": "PAD", + "compute_unit": "GPU", + "execution_time": 1722, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_12/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_12/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 133524, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_12/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_168/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 1662, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_13/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_169/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_170/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_102/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_13/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_13/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 19562, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_13/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_104/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_171/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 1660, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_14/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_172/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_173/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_105/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose_4/conv1d_transpose/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose_4/conv1d_transpose", + "type": "TRANSPOSE_CONV", + "compute_unit": "GPU", + "execution_time": 147899, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose_4/conv1d_transpose/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_58/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "GPU", + "execution_time": 3345, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_174/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 3414, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_15/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_175/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_176/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_107/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad_10/Pad", + "type": "PAD", + "compute_unit": "GPU", + "execution_time": 3389, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_14/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_14/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 149240, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_14/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_177/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 3351, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_16/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_178/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_179/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_109/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_15/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_15/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 20873, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_15/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_111/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_180/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 3342, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_17/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_181/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_182/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_112/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad_11/Pad", + "type": "PAD", + "compute_unit": "GPU", + "execution_time": 3371, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_16/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_16/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 149325, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_16/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_183/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 3378, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_18/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_184/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_185/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_114/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_17/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_17/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 21070, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_17/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_116/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_186/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 3354, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_19/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_187/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_188/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_117/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad_12/Pad", + "type": "PAD", + "compute_unit": "GPU", + "execution_time": 3380, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_18/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_18/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 149779, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_18/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_189/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 3348, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_20/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_190/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_191/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_119/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_19/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_19/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 20854, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_19/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_121/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_192/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 3344, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_21/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_193/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_194/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_122/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose_5/conv1d_transpose/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose_5/conv1d_transpose", + "type": "TRANSPOSE_CONV", + "compute_unit": "GPU", + "execution_time": 77897, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose_5/conv1d_transpose/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_59/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "GPU", + "execution_time": 5024, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_195/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 5026, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_22/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_196/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_197/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_124/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad_13/Pad", + "type": "PAD", + "compute_unit": "GPU", + "execution_time": 5042, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_20/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_20/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 110806, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_20/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_198/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 5029, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_23/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_199/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_200/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_126/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_21/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_21/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 16828, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_21/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_128/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_201/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 5038, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_24/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_202/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_203/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_129/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad_14/Pad", + "type": "PAD", + "compute_unit": "GPU", + "execution_time": 5099, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_22/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_22/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 111232, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_22/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_204/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 5025, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_25/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_205/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_206/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_131/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_23/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_23/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 16813, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_23/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_133/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_207/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 5011, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_26/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_208/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_209/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_134/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad_15/Pad", + "type": "PAD", + "compute_unit": "GPU", + "execution_time": 5065, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_24/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_24/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 110635, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_24/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_210/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 5026, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_27/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_211/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_212/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_136/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_25/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_25/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 16848, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_25/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_138/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_213/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 5032, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_28/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_214/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_215/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_139/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad_16/Pad", + "type": "PAD", + "compute_unit": "GPU", + "execution_time": 5032, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_26/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_26/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 2517, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_41/transpose", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 140, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_60/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "GPU", + "execution_time": 93, + "execution_cycles": 0 + }, + { + "name": "output_0", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 190, + "execution_cycles": 0 + } + ] + } +} diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/rb3/inference_submission.json b/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/rb3/inference_submission.json new file mode 100644 index 000000000..810a22d26 --- /dev/null +++ b/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/rb3/inference_submission.json @@ -0,0 +1,14 @@ +{ + "timestamp_utc": "2026-09-23T22:21:06.218268+00:00", + "facility": "Qualcomm AI Hub Workbench", + "qai_hub_version": "0.55.0", + "source_compile_job_id": "j5mmy28w5", + "target_model_id": "mn0wyzd3q", + "input_dataset_id": "d7m80jl32", + "device": "Dragonwing RB3 Gen 2 Vision Kit", + "options": "--compute_unit gpu", + "kind": "inference", + "status": "SUBMITTED", + "job_id": "jg9zmkv8p", + "url": "https://workbench.aihub.qualcomm.com/jobs/jg9zmkv8p/" +} diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/rb3/profile_submission.json b/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/rb3/profile_submission.json new file mode 100644 index 000000000..bb8f191f8 --- /dev/null +++ b/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/rb3/profile_submission.json @@ -0,0 +1,14 @@ +{ + "timestamp_utc": "2026-09-23T22:21:07.854394+00:00", + "facility": "Qualcomm AI Hub Workbench", + "qai_hub_version": "0.55.0", + "source_compile_job_id": "j5mmy28w5", + "target_model_id": "mn0wyzd3q", + "input_dataset_id": null, + "device": "Dragonwing RB3 Gen 2 Vision Kit", + "options": "--compute_unit gpu", + "kind": "profile", + "status": "SUBMITTED", + "job_id": "jp1nj707g", + "url": "https://workbench.aihub.qualcomm.com/jobs/jp1nj707g/" +} diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/s25_cpu_comparison.json b/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/s25_cpu_comparison.json new file mode 100644 index 000000000..4ffa7c61f --- /dev/null +++ b/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/s25_cpu_comparison.json @@ -0,0 +1,16 @@ +{ + "scope": "historical S25 TFLite GPU inference on same retained vocoder fixture; component comparison only", + "source_model_id": "mqyer339n", + "source_cpu_onnxruntime_version": "1.29.0", + "s25_inference_job_id": "jpx428ojg", + "input_dataset_id": "d7m80jl32", + "status": "component_waveform_quality_unqualified", + "cpu_source_vs_s25_gpu": { + "relative_l2": 0.04238531411741596, + "snr_db": 27.455691878796923, + "max_abs": 0.10591871291399002, + "cosine": 0.9991021814913129, + "reference_rms": 0.08373439205485074, + "output_rms": 0.08376787228276501 + } +} diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/s25_reference_inference.json b/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/s25_reference_inference.json new file mode 100644 index 000000000..c9c1efb53 --- /dev/null +++ b/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/s25_reference_inference.json @@ -0,0 +1,32 @@ +{ + "retrieved_utc": "2026-09-23T22:23:04.763805+00:00", + "qai_hub_version": "0.55.0", + "facility": "Qualcomm AI Hub Workbench", + "job_id": "jpx428ojg", + "url": "https://workbench.aihub.qualcomm.com/jobs/jpx428ojg/", + "status": "SUCCESS", + "status_message": "", + "model_id": "mng7kwxon", + "input_dataset_id": "d7m80jl32", + "device": { + "name": "Samsung Galaxy S25", + "os": "15", + "attributes": [ + "os:android", + "framework:tflite", + "framework:onnx", + "abi:aarch64-android", + "vendor:samsung", + "format:phone", + "chipset:qualcomm-snapdragon-8-elite-for-galaxy", + "chipset:sm8750-ac", + "hexagon:v79", + "soc-model:69", + "htp-supports-fp16:true", + "htp-supports-weight-sharing:true", + "framework:qnn" + ] + }, + "options": "--compute_unit gpu", + "hub_version": "aihub-2026.08.28.1" +} diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/s25_reference_output.npz b/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/s25_reference_output.npz new file mode 100644 index 000000000..c739e5459 Binary files /dev/null and b/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/s25_reference_output.npz differ diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/sa8775p/audit_report.json b/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/sa8775p/audit_report.json new file mode 100644 index 000000000..130336c65 --- /dev/null +++ b/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/sa8775p/audit_report.json @@ -0,0 +1,86 @@ +{ + "scope": "one Qwen3-TTS code2wav 48,000-sample component on one retained fixture; no complete TTS stream", + "status": "component_executed_quality_unqualified", + "device": { + "name": "SA8775P ADP", + "os": "14", + "attributes": [ + "os:android", + "framework:tflite", + "framework:onnx", + "vendor:qualcomm", + "abi:aarch64-android", + "format:auto", + "chipset:qualcomm-sa8775p", + "hexagon:v73", + "soc-model:52", + "htp-supports-fp16:true", + "htp-supports-weight-sharing:true", + "framework:qnn" + ] + }, + "compile_job_id": "jp410o3vp", + "inference_job_id": "jgzlm8ex5", + "profile_job_id": "j5wl78omp", + "target_model_id": "mnze95don", + "input_dataset_id": "d7m80jl32", + "s25_prior_inference_job_id": "jpx428ojg", + "requested_run_options": "--compute_unit gpu", + "files": { + "source_onnx": { + "bytes": 423655047, + "sha256": "7c07666229c6d404894132e22f784525e3212a49efad55ddd532eda5286c2b2b" + }, + "fixture": { + "bytes": 129721, + "sha256": "dfca9e8d2a724a568a31b6cd18ff6a52fdc205fd34e13cbf1cd75f0f7937e82d" + }, + "cpu_output": { + "bytes": 179942, + "sha256": "8de78b94b59f01e49852f7706adbd2508a9976b8e2705cfd3b94d07bb3606cb1" + }, + "s25_output": { + "bytes": 115235, + "sha256": "4a26486d5e84a6e22d16f9b26f995b8fe645c29bbd70b103615ec35a0fcb10a0" + }, + "device_output": { + "bytes": 10189, + "sha256": "770c9c1f5a8dcaf9d8054cd2617bb8cd47d0c005c6858836452882ff3d7353d5" + } + }, + "cpu_source_vs_device": { + "relative_l2": 11.832417281859046, + "snr_db": -21.461469541638177, + "max_abs": 1.4882186353206635, + "cosine": 0.017841868329608154, + "reference_rms": 0.08373439205485074, + "output_rms": 0.988730688363501, + "output_saturated_fraction_abs_ge_0_999": 0.9663333333333334 + }, + "s25_gpu_vs_device": { + "relative_l2": 11.82796496222066, + "snr_db": -21.458200587056638, + "max_abs": 1.488037109375, + "cosine": 0.01759117063047259, + "reference_rms": 0.08376787228276501, + "output_rms": 0.988730688363501, + "output_saturated_fraction_abs_ge_0_999": 0.9663333333333334 + }, + "profile": { + "sample_count": 100, + "sample_min_us": 1674704, + "nearest_rank_p50_us": 1775673, + "nearest_rank_p95_us": 1880119, + "reported_estimated_inference_time_us": 1674704, + "reported_peak_memory_bytes": 361168896, + "compute_unit_row_counts": { + "CPU": 403, + "GPU": 335 + } + }, + "limits": [ + "Historical source export does not attest its exact checkpoint revision.", + "This fixed component waveform has no listening or task-quality tolerance.", + "Hosted component profiling excludes talker, predictor, stage handoff, streaming, admission and sustained power/thermal behavior." + ] +} diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/sa8775p/compile_report.json b/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/sa8775p/compile_report.json new file mode 100644 index 000000000..3ae9556c9 --- /dev/null +++ b/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/sa8775p/compile_report.json @@ -0,0 +1,31 @@ +{ + "retrieved_utc": "2026-09-23T22:21:23.511773+00:00", + "qai_hub_version": "0.55.0", + "facility": "Qualcomm AI Hub Workbench", + "job_id": "jp410o3vp", + "url": "https://workbench.aihub.qualcomm.com/jobs/jp410o3vp/", + "status": "SUCCESS", + "status_message": "", + "source_model_id": "mqyer339n", + "target_model_id": "mnze95don", + "device": { + "name": "SA8775P ADP", + "os": "14", + "attributes": [ + "os:android", + "framework:tflite", + "framework:onnx", + "vendor:qualcomm", + "abi:aarch64-android", + "format:auto", + "chipset:qualcomm-sa8775p", + "hexagon:v73", + "soc-model:52", + "htp-supports-fp16:true", + "htp-supports-weight-sharing:true", + "framework:qnn" + ] + }, + "options": "--target_runtime tflite", + "hub_version": "aihub-2026.08.28.1" +} diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/sa8775p/cpu_control/inference_submission.json b/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/sa8775p/cpu_control/inference_submission.json new file mode 100644 index 000000000..f37986b2c --- /dev/null +++ b/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/sa8775p/cpu_control/inference_submission.json @@ -0,0 +1,14 @@ +{ + "timestamp_utc": "2026-09-23T22:34:29.858166+00:00", + "facility": "Qualcomm AI Hub Workbench", + "qai_hub_version": "0.55.0", + "source_compile_job_id": "jp410o3vp", + "target_model_id": "mnze95don", + "input_dataset_id": "d7m80jl32", + "device": "SA8775P ADP", + "options": "--compute_unit cpu", + "kind": "inference", + "status": "SUBMITTED", + "job_id": "jp1nj7x7g", + "url": "https://workbench.aihub.qualcomm.com/jobs/jp1nj7x7g/" +} diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/sa8775p/device_output.npz b/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/sa8775p/device_output.npz new file mode 100644 index 000000000..83991c0e6 Binary files /dev/null and b/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/sa8775p/device_output.npz differ diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/sa8775p/gpu_fp32/inference_submission.json b/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/sa8775p/gpu_fp32/inference_submission.json new file mode 100644 index 000000000..8729c2790 --- /dev/null +++ b/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/sa8775p/gpu_fp32/inference_submission.json @@ -0,0 +1,14 @@ +{ + "timestamp_utc": "2026-09-23T22:34:32.086663+00:00", + "facility": "Qualcomm AI Hub Workbench", + "qai_hub_version": "0.55.0", + "source_compile_job_id": "jp410o3vp", + "target_model_id": "mnze95don", + "input_dataset_id": "d7m80jl32", + "device": "SA8775P ADP", + "options": "--compute_unit gpu --tflite_options allow_fp32_as_fp16=false", + "kind": "inference", + "status": "SUBMITTED", + "job_id": "jgdd38lzg", + "url": "https://workbench.aihub.qualcomm.com/jobs/jgdd38lzg/" +} diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/sa8775p/historical_profile_report.json b/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/sa8775p/historical_profile_report.json new file mode 100644 index 000000000..233ddefe9 --- /dev/null +++ b/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/sa8775p/historical_profile_report.json @@ -0,0 +1,5361 @@ +{ + "retrieved_utc": "2026-09-23T22:41:59.020458+00:00", + "qai_hub_version": "0.55.0", + "facility": "Qualcomm AI Hub Workbench", + "job_id": "j5mmy2mw5", + "url": "https://workbench.aihub.qualcomm.com/jobs/j5mmy2mw5/", + "status": "SUCCESS", + "status_message": "", + "options": "--compute_unit gpu", + "hub_version": "aihub-2026.08.28.1", + "device": { + "name": "SA8775P ADP", + "os": "14", + "attributes": [ + "os:android", + "framework:tflite", + "framework:onnx", + "vendor:qualcomm", + "abi:aarch64-android", + "format:auto", + "chipset:qualcomm-sa8775p", + "hexagon:v73", + "soc-model:52", + "htp-supports-fp16:true", + "htp-supports-weight-sharing:true", + "framework:qnn" + ] + }, + "model_id": "mnze95don", + "shapes": { + "quantized": [ + [ + 1, + 512, + 97 + ], + "float32" + ] + }, + "profile": { + "execution_summary": { + "estimated_inference_time": 1700577, + "estimated_inference_peak_memory": 361443328, + "first_load_time": 189749401, + "first_load_peak_memory": 934817792, + "warm_load_time": 3218505, + "warm_load_peak_memory": 787828736, + "compile_time": 0, + "compile_peak_memory": 0, + "compile_memory_increase_range": [ + 0, + 0 + ], + "compile_memory_peak_range": [ + 0, + 0 + ], + "first_load_memory_increase_range": [ + 227501280, + 233309600 + ], + "first_load_memory_peak_range": [ + 837283840, + 843092160 + ], + "warm_load_memory_increase_range": [ + 253448928, + 285748448 + ], + "warm_load_memory_peak_range": [ + 710901760, + 743201280 + ], + "inference_memory_increase_range": [ + 0, + 0 + ], + "inference_memory_peak_range": [ + 1228800, + 30715232 + ], + "all_compile_times": [], + "all_first_load_times": [ + 189749401 + ], + "all_warm_load_times": [ + 3218505 + ], + "all_inference_times": [ + 1761775, + 1767315, + 1802789, + 1798739, + 1744744, + 1778637, + 1725942, + 1750394, + 1950862, + 1747926, + 1842948, + 1733437, + 1700577, + 1797682, + 1775705, + 1751256, + 1748661, + 1800239, + 1775668, + 1773164, + 1752255, + 1747364, + 1743861, + 1858580, + 1799319, + 1925144, + 1800682, + 1800060, + 1752083, + 1822814, + 1750134, + 1848276, + 1745719, + 1755682, + 1747287, + 1721815, + 1731086, + 1724660, + 1723432, + 1727070, + 1772664, + 1721527, + 1730272, + 1749032, + 1750912, + 1724229, + 1846050, + 1756095, + 1749476, + 1875209, + 1747187, + 1776970, + 1801075, + 1772458, + 1800803, + 1751341, + 1891134, + 1758684, + 1774029, + 1725490, + 1748360, + 1776053, + 1775361, + 1774231, + 1752153, + 1776578, + 1747339, + 1748955, + 1775431, + 1750728, + 1750514, + 1750648, + 1748699, + 1799578, + 1749891, + 1801303, + 1748396, + 1725914, + 1750034, + 1825594, + 1874161, + 1745277, + 1730113, + 1750475, + 1749741, + 1744553, + 1730910, + 2025287, + 1749108, + 1798521, + 1751024, + 1726147, + 1751867, + 1772623, + 1749529, + 1801086, + 1823171, + 1725214, + 1749291, + 1725860 + ] + }, + "execution_detail": [ + { + "name": "model/tf.compat.v1.transpose/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 66, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad/Pad", + "type": "PAD", + "compute_unit": "CPU", + "execution_time": 9, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "CPU", + "execution_time": 2683, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_1/Add", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 786, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 8, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean/Mean", + "type": "MEAN", + "compute_unit": "CPU", + "execution_time": 1, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_2/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt/Sqrt", + "type": "SQRT", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal/Reciprocal", + "type": "DIV", + "compute_unit": "CPU", + "execution_time": 5, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_1/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 2179, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_1/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 17, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_1/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 16, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_3/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 8, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_3/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 8, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_4/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 5, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.negative/Neg", + "type": "NEG", + "compute_unit": "CPU", + "execution_time": 14, + "execution_cycles": 0 + }, + { + "name": "model/tf.concat/node_cat_3", + "type": "CONCATENATION", + "compute_unit": "CPU", + "execution_time": 9, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_4/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 9, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_3/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_1/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_1/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_2/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_5/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 8, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_5/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_6/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 5, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.negative_1/Neg", + "type": "NEG", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.concat_1/node_cat_4", + "type": "CONCATENATION", + "compute_unit": "CPU", + "execution_time": 11, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_6/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 9, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_4/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 162, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_4/Add", + "type": "BATCH_MATMUL", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_7/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_5/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 70, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.softmax/Softmax", + "type": "SOFTMAX", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_2/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_2/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 26, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_3/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 147, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_3/MatMul", + "type": "BATCH_MATMUL", + "compute_unit": "CPU", + "execution_time": 14, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_5/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_3/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 776, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_8/Mul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 11, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_6/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_9/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_1/Mean", + "type": "MEAN", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_7/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt_1/Sqrt", + "type": "SQRT", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal_1/Reciprocal", + "type": "DIV", + "compute_unit": "CPU", + "execution_time": 730, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_10/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 50, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_5/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sigmoid/Sigmoid", + "type": "LOGISTIC", + "compute_unit": "CPU", + "execution_time": 726, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_12/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_6/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 764, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_13/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_14/Mul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_8/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_15/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_2/Mean", + "type": "MEAN", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_9/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt_2/Sqrt", + "type": "SQRT", + "compute_unit": "CPU", + "execution_time": 2173, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal_2/Reciprocal", + "type": "DIV", + "compute_unit": "CPU", + "execution_time": 16, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_16/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_8/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_7/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 15, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_4/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 8, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_6/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 8, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_18/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 5, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_10/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 14, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_11/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 10, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.negative_2/Neg", + "type": "NEG", + "compute_unit": "CPU", + "execution_time": 9, + "execution_cycles": 0 + }, + { + "name": "model/tf.concat_2/node_cat_5", + "type": "CONCATENATION", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_19/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_10/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_8/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_5/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_7/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 6, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_20/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 5, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_12/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_13/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 10, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.negative_3/Neg", + "type": "NEG", + "compute_unit": "CPU", + "execution_time": 9, + "execution_cycles": 0 + }, + { + "name": "model/tf.concat_3/node_cat_6", + "type": "CONCATENATION", + "compute_unit": "CPU", + "execution_time": 161, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_21/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_11/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_11/Add", + "type": "BATCH_MATMUL", + "compute_unit": "CPU", + "execution_time": 70, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_22/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_12/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.softmax_1/Softmax", + "type": "SOFTMAX", + "compute_unit": "CPU", + "execution_time": 27, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_9/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 146, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_6/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 14, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_8/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_10/MatMul", + "type": "BATCH_MATMUL", + "compute_unit": "CPU", + "execution_time": 780, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_10/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_7/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_23/Mul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_13/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_24/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_3/Mean", + "type": "MEAN", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_14/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 726, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt_3/Sqrt", + "type": "SQRT", + "compute_unit": "CPU", + "execution_time": 49, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal_3/Reciprocal", + "type": "DIV", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_25/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 723, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_12/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sigmoid_1/Sigmoid", + "type": "LOGISTIC", + "compute_unit": "CPU", + "execution_time": 763, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_27/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 11, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_13/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_28/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_29/Mul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_15/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_30/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_4/Mean", + "type": "MEAN", + "compute_unit": "CPU", + "execution_time": 2170, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_16/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 16, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt_4/Sqrt", + "type": "SQRT", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal_4/Reciprocal", + "type": "DIV", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_31/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 16, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_15/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 8, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_14/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 8, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_8/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 5, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_11/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 14, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_33/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 8, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_17/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 9, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_18/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.negative_4/Neg", + "type": "NEG", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.concat_4/node_cat_7", + "type": "CONCATENATION", + "compute_unit": "CPU", + "execution_time": 11, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_34/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_17/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 6, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_15/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_9/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 5, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_12/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_35/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 8, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_19/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 9, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_20/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 160, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.negative_5/Neg", + "type": "NEG", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.concat_5/node_cat_8", + "type": "CONCATENATION", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_36/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 70, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_18/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_18/Add", + "type": "BATCH_MATMUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_37/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 27, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_19/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 146, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.softmax_2/Softmax", + "type": "SOFTMAX", + "compute_unit": "CPU", + "execution_time": 14, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_16/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_10/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 771, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_13/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_17/MatMul", + "type": "BATCH_MATMUL", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_15/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_11/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_38/Mul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_20/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_39/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 724, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_5/Mean", + "type": "MEAN", + "compute_unit": "CPU", + "execution_time": 50, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_21/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt_5/Sqrt", + "type": "SQRT", + "compute_unit": "CPU", + "execution_time": 722, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal_5/Reciprocal", + "type": "DIV", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_40/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 764, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_19/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 11, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sigmoid_2/Sigmoid", + "type": "LOGISTIC", + "compute_unit": "CPU", + "execution_time": 3, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_42/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_20/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_43/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_44/Mul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 3, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_22/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 2170, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_45/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 16, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_6/Mean", + "type": "MEAN", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_23/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt_6/Sqrt", + "type": "SQRT", + "compute_unit": "CPU", + "execution_time": 16, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal_6/Reciprocal", + "type": "DIV", + "compute_unit": "CPU", + "execution_time": 8, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_46/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 8, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_22/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 5, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_21/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_12/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 11, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_16/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 9, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_48/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_24/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_25/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.negative_6/Neg", + "type": "NEG", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.concat_6/node_cat_9", + "type": "CONCATENATION", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_49/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_24/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 5, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_22/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_13/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 9, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_17/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 9, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_50/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 161, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_26/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_27/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.negative_7/Neg", + "type": "NEG", + "compute_unit": "CPU", + "execution_time": 70, + "execution_cycles": 0 + }, + { + "name": "model/tf.concat_7/node_cat_10", + "type": "CONCATENATION", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_51/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_25/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 27, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_25/Add", + "type": "BATCH_MATMUL", + "compute_unit": "CPU", + "execution_time": 146, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_52/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 14, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_26/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.softmax_3/Softmax", + "type": "SOFTMAX", + "compute_unit": "CPU", + "execution_time": 779, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_23/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_14/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_18/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_24/MatMul", + "type": "BATCH_MATMUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_20/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_15/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_53/Mul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 725, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_27/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 50, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_54/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 8, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_7/Mean", + "type": "MEAN", + "compute_unit": "CPU", + "execution_time": 724, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_28/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 14, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt_7/Sqrt", + "type": "SQRT", + "compute_unit": "CPU", + "execution_time": 761, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal_7/Reciprocal", + "type": "DIV", + "compute_unit": "CPU", + "execution_time": 11, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_55/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_26/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sigmoid_3/Sigmoid", + "type": "LOGISTIC", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_57/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_27/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 3, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_58/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 2171, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_59/Mul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 16, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_29/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_60/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_8/Mean", + "type": "MEAN", + "compute_unit": "CPU", + "execution_time": 16, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_30/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 8, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt_8/Sqrt", + "type": "SQRT", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal_8/Reciprocal", + "type": "DIV", + "compute_unit": "CPU", + "execution_time": 5, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_61/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 14, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_29/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 9, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_28/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 9, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_16/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_21/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_63/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_31/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_32/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.negative_8/Neg", + "type": "NEG", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.concat_8/node_cat_11", + "type": "CONCATENATION", + "compute_unit": "CPU", + "execution_time": 5, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_64/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_31/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 10, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_29/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 9, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_17/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 160, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_22/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_65/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_33/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 70, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_34/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.negative_9/Neg", + "type": "NEG", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.concat_9/node_cat_12", + "type": "CONCATENATION", + "compute_unit": "CPU", + "execution_time": 27, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_66/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 147, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_32/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 14, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_32/Add", + "type": "BATCH_MATMUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_67/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 773, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_33/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 11, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.softmax_4/Softmax", + "type": "SOFTMAX", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_30/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_18/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_23/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_31/MatMul", + "type": "BATCH_MATMUL", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_25/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 723, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_19/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 50, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_68/Mul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 8, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_34/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 724, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_69/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_9/Mean", + "type": "MEAN", + "compute_unit": "CPU", + "execution_time": 762, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_35/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 11, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt_9/Sqrt", + "type": "SQRT", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal_9/Reciprocal", + "type": "DIV", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_70/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_33/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sigmoid_4/Sigmoid", + "type": "LOGISTIC", + "compute_unit": "CPU", + "execution_time": 3, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_72/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 2168, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_34/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 17, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_73/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_74/Mul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_36/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 16, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_75/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 8, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_10/Mean", + "type": "MEAN", + "compute_unit": "CPU", + "execution_time": 8, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_37/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 5, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt_10/Sqrt", + "type": "SQRT", + "compute_unit": "CPU", + "execution_time": 14, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal_10/Reciprocal", + "type": "DIV", + "compute_unit": "CPU", + "execution_time": 11, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_76/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 8, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_36/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_35/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_20/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_26/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_78/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 6, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_38/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_39/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 5, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.negative_10/Neg", + "type": "NEG", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.concat_10/node_cat_13", + "type": "CONCATENATION", + "compute_unit": "CPU", + "execution_time": 10, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_79/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 9, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_38/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 161, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_36/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_21/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_27/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 70, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_80/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_40/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_41/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 26, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.negative_11/Neg", + "type": "NEG", + "compute_unit": "CPU", + "execution_time": 147, + "execution_cycles": 0 + }, + { + "name": "model/tf.concat_11/node_cat_14", + "type": "CONCATENATION", + "compute_unit": "CPU", + "execution_time": 14, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_81/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_39/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 775, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_39/Add", + "type": "BATCH_MATMUL", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_82/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_40/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.softmax_5/Softmax", + "type": "SOFTMAX", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_37/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_22/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_28/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 725, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_38/MatMul", + "type": "BATCH_MATMUL", + "compute_unit": "CPU", + "execution_time": 50, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_30/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_23/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 722, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_83/Mul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_41/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 760, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_84/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 11, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_11/Mean", + "type": "MEAN", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_42/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt_11/Sqrt", + "type": "SQRT", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal_11/Reciprocal", + "type": "DIV", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_85/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 3, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_40/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 2175, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sigmoid_5/Sigmoid", + "type": "LOGISTIC", + "compute_unit": "CPU", + "execution_time": 16, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_87/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_41/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_88/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 16, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_89/Mul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 8, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_43/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 8, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_90/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 5, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_12/Mean", + "type": "MEAN", + "compute_unit": "CPU", + "execution_time": 14, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_44/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 11, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt_12/Sqrt", + "type": "SQRT", + "compute_unit": "CPU", + "execution_time": 9, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal_12/Reciprocal", + "type": "DIV", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_91/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_43/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_42/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_24/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_31/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_93/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_45/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_46/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 10, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.negative_12/Neg", + "type": "NEG", + "compute_unit": "CPU", + "execution_time": 9, + "execution_cycles": 0 + }, + { + "name": "model/tf.concat_12/node_cat_15", + "type": "CONCATENATION", + "compute_unit": "CPU", + "execution_time": 161, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_94/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_45/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_43/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 70, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_25/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_32/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_95/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 26, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_47/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 147, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_48/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 14, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.negative_13/Neg", + "type": "NEG", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.concat_13/node_cat_16", + "type": "CONCATENATION", + "compute_unit": "CPU", + "execution_time": 776, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_96/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_46/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_46/Add", + "type": "BATCH_MATMUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_97/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_47/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.softmax_6/Softmax", + "type": "SOFTMAX", + "compute_unit": "CPU", + "execution_time": 3, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_44/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 725, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_26/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 50, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_33/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_45/MatMul", + "type": "BATCH_MATMUL", + "compute_unit": "CPU", + "execution_time": 723, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_35/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 14, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_27/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 764, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_98/Mul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 10, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_48/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_99/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_13/Mean", + "type": "MEAN", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_49/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt_13/Sqrt", + "type": "SQRT", + "compute_unit": "CPU", + "execution_time": 3, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal_13/Reciprocal", + "type": "DIV", + "compute_unit": "CPU", + "execution_time": 2169, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_100/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 16, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_47/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sigmoid_6/Sigmoid", + "type": "LOGISTIC", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_102/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 16, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_48/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 8, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_103/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_104/Mul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 5, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_50/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 14, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_105/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 8, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_14/Mean", + "type": "MEAN", + "compute_unit": "CPU", + "execution_time": 9, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_51/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt_14/Sqrt", + "type": "SQRT", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal_14/Reciprocal", + "type": "DIV", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_106/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_50/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_49/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_28/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 5, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_36/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_108/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 11, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_52/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 9, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_53/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 161, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.negative_14/Neg", + "type": "NEG", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.concat_14/node_cat_17", + "type": "CONCATENATION", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_109/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 15, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_52/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_50/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 11, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_29/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_37/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_110/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_54/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_55/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.negative_15/Neg", + "type": "NEG", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.concat_15/node_cat_18", + "type": "CONCATENATION", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_111/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_53/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_53/Add", + "type": "BATCH_MATMUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_112/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_54/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.softmax_7/Softmax", + "type": "SOFTMAX", + "compute_unit": "GPU", + "execution_time": 65, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_51/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_30/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_38/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_52/MatMul", + "type": "BATCH_MATMUL", + "compute_unit": "GPU", + "execution_time": 68, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_40/transpose", + "type": "TRANSPOSE", + "compute_unit": "GPU", + "execution_time": 10, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_31/Reshape", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_113/Mul", + "type": "FULLY_CONNECTED", + "compute_unit": "GPU", + "execution_time": 438, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_55/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_114/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 5, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_15/Mean", + "type": "MEAN", + "compute_unit": "GPU", + "execution_time": 53, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_56/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt_15/Sqrt", + "type": "SQRT", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal_15/Reciprocal", + "type": "DIV", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_115/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 5, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_54/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "GPU", + "execution_time": 366, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sigmoid_7/Sigmoid", + "type": "LOGISTIC", + "compute_unit": "GPU", + "execution_time": 9, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_117/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_55/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "GPU", + "execution_time": 373, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_118/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_119/Mul", + "type": "FULLY_CONNECTED", + "compute_unit": "GPU", + "execution_time": 445, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_57/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_120/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 5, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_16/Mean", + "type": "MEAN", + "compute_unit": "GPU", + "execution_time": 52, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_58/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt_16/Sqrt", + "type": "SQRT", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal_16/Reciprocal", + "type": "DIV", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_121/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_59/Add", + "type": "FULLY_CONNECTED", + "compute_unit": "GPU", + "execution_time": 368, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose/conv1d_transpose/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose/conv1d_transpose", + "type": "TRANSPOSE_CONV", + "compute_unit": "GPU", + "execution_time": 1343, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose/conv1d_transpose/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad_1/Pad", + "type": "PAD", + "compute_unit": "GPU", + "execution_time": 15, + "execution_cycles": 0 + }, + { + "name": "model/node_conv1d_1/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/node_conv1d_1/depthwise", + "type": "DEPTHWISE_CONV_2D", + "compute_unit": "GPU", + "execution_time": 36, + "execution_cycles": 0 + }, + { + "name": "model/node_conv1d_1/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_17/Mean", + "type": "MEAN", + "compute_unit": "GPU", + "execution_time": 20, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.squared_difference/SquaredDifference", + "type": "SQUARED_DIFFERENCE", + "compute_unit": "GPU", + "execution_time": 15, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_18/Mean", + "type": "MEAN", + "compute_unit": "GPU", + "execution_time": 20, + "execution_cycles": 0 + }, + { + "name": "model/tf.__operators__.add/AddV2", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.rsqrt/Rsqrt", + "type": "RSQRT", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_123/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 10, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_124/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 24, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_125/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 24, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.subtract/Sub", + "type": "SUB", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.__operators__.add_1/AddV2", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_62/Add", + "type": "FULLY_CONNECTED", + "compute_unit": "GPU", + "execution_time": 5961, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.gelu/Gelu/Erfc", + "type": "GELU", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_63/Add", + "type": "FULLY_CONNECTED", + "compute_unit": "GPU", + "execution_time": 6220, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_64/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose_1/conv1d_transpose/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose_1/conv1d_transpose", + "type": "TRANSPOSE_CONV", + "compute_unit": "GPU", + "execution_time": 2738, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose_1/conv1d_transpose/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad_2/Pad", + "type": "PAD", + "compute_unit": "GPU", + "execution_time": 30, + "execution_cycles": 0 + }, + { + "name": "model/node_conv1d_2/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/node_conv1d_2/depthwise", + "type": "DEPTHWISE_CONV_2D", + "compute_unit": "GPU", + "execution_time": 69, + "execution_cycles": 0 + }, + { + "name": "model/node_conv1d_2/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_19/Mean", + "type": "MEAN", + "compute_unit": "GPU", + "execution_time": 36, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.squared_difference_1/SquaredDifference", + "type": "SQUARED_DIFFERENCE", + "compute_unit": "GPU", + "execution_time": 28, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_20/Mean", + "type": "MEAN", + "compute_unit": "GPU", + "execution_time": 37, + "execution_cycles": 0 + }, + { + "name": "model/tf.__operators__.add_2/AddV2", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.rsqrt_1/Rsqrt", + "type": "RSQRT", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_126/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 17, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_127/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 47, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_128/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 47, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.subtract_1/Sub", + "type": "SUB", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.__operators__.add_3/AddV2", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_67/Add", + "type": "FULLY_CONNECTED", + "compute_unit": "GPU", + "execution_time": 11785, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.gelu_1/Gelu/Erfc", + "type": "GELU", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_68/Add", + "type": "FULLY_CONNECTED", + "compute_unit": "GPU", + "execution_time": 11270, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_69/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad_3/Pad", + "type": "PAD", + "compute_unit": "GPU", + "execution_time": 30, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_1/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_1/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_1/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_129/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_130/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_131/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_71/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose_2/conv1d_transpose/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose_2/conv1d_transpose", + "type": "TRANSPOSE_CONV", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose_2/conv1d_transpose/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_56/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_132/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_1/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_133/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_134/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_73/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad_4/Pad", + "type": "PAD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_2/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_2/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_2/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_135/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_2/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_136/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_137/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_75/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_3/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_3/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 10261, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_3/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_77/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_138/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 168, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_3/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_139/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_140/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_78/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad_5/Pad", + "type": "PAD", + "compute_unit": "GPU", + "execution_time": 174, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_4/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_4/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 84281, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_4/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_141/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 169, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_4/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_142/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_143/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_80/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_5/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_5/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 10276, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_5/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_82/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_144/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 167, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_5/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_145/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_146/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_83/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad_6/Pad", + "type": "PAD", + "compute_unit": "GPU", + "execution_time": 186, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_6/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_6/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_6/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_147/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_6/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_148/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_149/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_85/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_7/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_7/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_7/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_87/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_150/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_7/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_151/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_152/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_88/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose_3/conv1d_transpose/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose_3/conv1d_transpose", + "type": "TRANSPOSE_CONV", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose_3/conv1d_transpose/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_57/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_153/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_8/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_154/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_155/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_90/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad_7/Pad", + "type": "PAD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_8/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_8/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 99667, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_8/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_156/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 427, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_9/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_157/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_158/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_92/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_9/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_9/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 12871, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_9/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_94/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_159/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 423, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_10/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_160/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_161/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_95/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad_8/Pad", + "type": "PAD", + "compute_unit": "GPU", + "execution_time": 427, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_10/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_10/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 100164, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_10/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_162/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 421, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_11/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_163/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_164/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_97/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_11/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_11/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 12884, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_11/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_99/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_165/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 425, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_12/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_166/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_167/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_100/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad_9/Pad", + "type": "PAD", + "compute_unit": "GPU", + "execution_time": 432, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_12/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_12/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 99725, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_12/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_168/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 427, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_13/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_169/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_170/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_102/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_13/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_13/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 12865, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_13/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_104/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_171/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 422, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_14/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_172/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_173/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_105/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose_4/conv1d_transpose/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose_4/conv1d_transpose", + "type": "TRANSPOSE_CONV", + "compute_unit": "GPU", + "execution_time": 103940, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose_4/conv1d_transpose/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_58/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "GPU", + "execution_time": 845, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_174/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 855, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_15/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_175/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_176/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_107/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad_10/Pad", + "type": "PAD", + "compute_unit": "GPU", + "execution_time": 861, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_14/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_14/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 121400, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_14/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_177/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 852, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_16/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_178/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_179/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_109/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_15/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_15/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 14503, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_15/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_111/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_180/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 846, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_17/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_181/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_182/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_112/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad_11/Pad", + "type": "PAD", + "compute_unit": "GPU", + "execution_time": 849, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_16/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_16/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 121696, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_16/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_183/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 853, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_18/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_184/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_185/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_114/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_17/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_17/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 14513, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_17/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_116/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_186/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 849, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_19/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_187/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_188/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_117/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad_12/Pad", + "type": "PAD", + "compute_unit": "GPU", + "execution_time": 855, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_18/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_18/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 123054, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_18/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_189/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 852, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_20/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_190/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_191/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_119/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_19/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_19/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 14522, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_19/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_121/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_192/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 845, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_21/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_193/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_194/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_122/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose_5/conv1d_transpose/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose_5/conv1d_transpose", + "type": "TRANSPOSE_CONV", + "compute_unit": "GPU", + "execution_time": 56262, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose_5/conv1d_transpose/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_59/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "GPU", + "execution_time": 1266, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_195/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 1263, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_22/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_196/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_197/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_124/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad_13/Pad", + "type": "PAD", + "compute_unit": "GPU", + "execution_time": 1303, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_20/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_20/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 89474, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_20/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_198/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 1277, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_23/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_199/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_200/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_126/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_21/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_21/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 11271, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_21/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_128/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_201/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 1265, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_24/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_202/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_203/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_129/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad_14/Pad", + "type": "PAD", + "compute_unit": "GPU", + "execution_time": 1276, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_22/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_22/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 90941, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_22/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_204/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 1266, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_25/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_205/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_206/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_131/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_23/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_23/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 11265, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_23/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_133/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_207/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 1264, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_26/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_208/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_209/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_134/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad_15/Pad", + "type": "PAD", + "compute_unit": "GPU", + "execution_time": 1278, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_24/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_24/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 89525, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_24/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_210/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 1280, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_27/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_211/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_212/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_136/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_25/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_25/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 11274, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_25/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_138/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_213/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 1265, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_28/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_214/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_215/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_139/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad_16/Pad", + "type": "PAD", + "compute_unit": "GPU", + "execution_time": 1281, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_26/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_26/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 1598, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_41/transpose", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 76, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_60/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "GPU", + "execution_time": 22, + "execution_cycles": 0 + }, + { + "name": "output_0", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 43, + "execution_cycles": 0 + } + ] + } +} diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/sa8775p/inference_report.json b/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/sa8775p/inference_report.json new file mode 100644 index 000000000..082c405ae --- /dev/null +++ b/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/sa8775p/inference_report.json @@ -0,0 +1,32 @@ +{ + "timestamp_utc": "2026-09-23T22:33:06.275073+00:00", + "qai_hub_version": "0.55.0", + "facility": "Qualcomm AI Hub Workbench", + "job_id": "jgzlm8ex5", + "url": "https://workbench.aihub.qualcomm.com/jobs/jgzlm8ex5/", + "status": "SUCCESS", + "status_message": "", + "options": "--compute_unit gpu", + "hub_version": "aihub-2026.09.11.0", + "device": { + "name": "SA8775P ADP", + "os": "14", + "attributes": [ + "os:android", + "framework:tflite", + "framework:onnx", + "vendor:qualcomm", + "abi:aarch64-android", + "format:auto", + "chipset:qualcomm-sa8775p", + "hexagon:v73", + "soc-model:52", + "htp-supports-fp16:true", + "htp-supports-weight-sharing:true", + "framework:qnn" + ] + }, + "model_id": "mnze95don", + "input_dataset_id": "d7m80jl32", + "outputs": "device_output.npz" +} diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/sa8775p/inference_submission.json b/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/sa8775p/inference_submission.json new file mode 100644 index 000000000..c78c54741 --- /dev/null +++ b/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/sa8775p/inference_submission.json @@ -0,0 +1,14 @@ +{ + "timestamp_utc": "2026-09-23T22:21:01.692875+00:00", + "facility": "Qualcomm AI Hub Workbench", + "qai_hub_version": "0.55.0", + "source_compile_job_id": "jp410o3vp", + "target_model_id": "mnze95don", + "input_dataset_id": "d7m80jl32", + "device": "SA8775P ADP", + "options": "--compute_unit gpu", + "kind": "inference", + "status": "SUBMITTED", + "job_id": "jgzlm8ex5", + "url": "https://workbench.aihub.qualcomm.com/jobs/jgzlm8ex5/" +} diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/sa8775p/profile_report.json b/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/sa8775p/profile_report.json new file mode 100644 index 000000000..579dbc606 --- /dev/null +++ b/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/sa8775p/profile_report.json @@ -0,0 +1,5361 @@ +{ + "timestamp_utc": "2026-09-23T22:44:34.136727+00:00", + "qai_hub_version": "0.55.0", + "facility": "Qualcomm AI Hub Workbench", + "job_id": "j5wl78omp", + "url": "https://workbench.aihub.qualcomm.com/jobs/j5wl78omp/", + "status": "SUCCESS", + "status_message": "", + "options": "--compute_unit gpu", + "hub_version": "aihub-2026.09.11.0", + "device": { + "name": "SA8775P ADP", + "os": "14", + "attributes": [ + "os:android", + "framework:tflite", + "framework:onnx", + "vendor:qualcomm", + "abi:aarch64-android", + "format:auto", + "chipset:qualcomm-sa8775p", + "hexagon:v73", + "soc-model:52", + "htp-supports-fp16:true", + "htp-supports-weight-sharing:true", + "framework:qnn" + ] + }, + "model_id": "mnze95don", + "shapes": { + "quantized": [ + [ + 1, + 512, + 97 + ], + "float32" + ] + }, + "profile": { + "execution_summary": { + "estimated_inference_time": 1674704, + "estimated_inference_peak_memory": 361168896, + "first_load_time": 193775686, + "first_load_peak_memory": 924704768, + "warm_load_time": 3282329, + "warm_load_peak_memory": 756756480, + "compile_time": 0, + "compile_peak_memory": 0, + "compile_memory_increase_range": [ + 0, + 0 + ], + "compile_memory_peak_range": [ + 0, + 0 + ], + "first_load_memory_increase_range": [ + 227123632, + 233169232 + ], + "first_load_memory_peak_range": [ + 827031552, + 833077152 + ], + "warm_load_memory_increase_range": [ + 241529008, + 273941648 + ], + "warm_load_memory_peak_range": [ + 668086272, + 700498912 + ], + "inference_memory_increase_range": [ + 0, + 0 + ], + "inference_memory_peak_range": [ + 1245184, + 30737136 + ], + "all_compile_times": [], + "all_first_load_times": [ + 193775686 + ], + "all_warm_load_times": [ + 3282329 + ], + "all_inference_times": [ + 1880119, + 1744454, + 1772855, + 1849775, + 1775305, + 1753769, + 1769446, + 1755989, + 1750772, + 1743632, + 1777050, + 1751617, + 1772229, + 1800313, + 1801974, + 1923243, + 1852941, + 1818359, + 1675813, + 1749117, + 1850459, + 1802543, + 1798611, + 1753317, + 1771220, + 1825305, + 1755127, + 1873277, + 1703544, + 1717836, + 1731803, + 1716868, + 1825307, + 1731818, + 1699794, + 1749001, + 1777760, + 1796441, + 1845293, + 1803033, + 1803825, + 1794536, + 1674704, + 1780429, + 1749653, + 1848389, + 1803453, + 1823732, + 1775701, + 1775468, + 1743665, + 1730888, + 1743163, + 1774528, + 1800541, + 1755388, + 1801402, + 1797955, + 1795896, + 1880606, + 1745008, + 1806267, + 1773816, + 1724191, + 1718135, + 1775673, + 1729295, + 1800803, + 1870221, + 1754933, + 1794028, + 1857743, + 1767377, + 1702202, + 1797667, + 1728210, + 1804371, + 1773477, + 2001018, + 1725745, + 1924972, + 1798248, + 1750569, + 1845365, + 1779765, + 1800073, + 1769446, + 1802411, + 1746408, + 1757843, + 1749479, + 1692968, + 1775692, + 1776303, + 1725093, + 2050915, + 1848657, + 1799028, + 1781823, + 1742550 + ] + }, + "execution_detail": [ + { + "name": "model/tf.compat.v1.transpose/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 69, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad/Pad", + "type": "PAD", + "compute_unit": "CPU", + "execution_time": 9, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "CPU", + "execution_time": 2676, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_1/Add", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 771, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 8, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean/Mean", + "type": "MEAN", + "compute_unit": "CPU", + "execution_time": 1, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_2/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt/Sqrt", + "type": "SQRT", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal/Reciprocal", + "type": "DIV", + "compute_unit": "CPU", + "execution_time": 5, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_1/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 2171, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_1/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 18, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_1/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 16, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_3/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 9, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_3/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_4/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 5, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.negative/Neg", + "type": "NEG", + "compute_unit": "CPU", + "execution_time": 14, + "execution_cycles": 0 + }, + { + "name": "model/tf.concat/node_cat_3", + "type": "CONCATENATION", + "compute_unit": "CPU", + "execution_time": 11, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_4/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 10, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_3/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 14, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_1/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_1/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_2/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_5/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 8, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_5/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 6, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_6/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 5, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.negative_1/Neg", + "type": "NEG", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.concat_1/node_cat_4", + "type": "CONCATENATION", + "compute_unit": "CPU", + "execution_time": 8, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_6/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 9, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_4/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 162, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_4/Add", + "type": "BATCH_MATMUL", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_7/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_5/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 71, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.softmax/Softmax", + "type": "SOFTMAX", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_2/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_2/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 27, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_3/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 148, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_3/MatMul", + "type": "BATCH_MATMUL", + "compute_unit": "CPU", + "execution_time": 11, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_5/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_3/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 788, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_8/Mul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 11, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_6/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_9/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_1/Mean", + "type": "MEAN", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_7/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt_1/Sqrt", + "type": "SQRT", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal_1/Reciprocal", + "type": "DIV", + "compute_unit": "CPU", + "execution_time": 728, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_10/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 49, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_5/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sigmoid/Sigmoid", + "type": "LOGISTIC", + "compute_unit": "CPU", + "execution_time": 725, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_12/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_6/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 762, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_13/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 11, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_14/Mul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_8/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_15/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_2/Mean", + "type": "MEAN", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_9/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt_2/Sqrt", + "type": "SQRT", + "compute_unit": "CPU", + "execution_time": 2170, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal_2/Reciprocal", + "type": "DIV", + "compute_unit": "CPU", + "execution_time": 18, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_16/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_8/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 14, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_7/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 16, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_4/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 9, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_6/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_18/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 5, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_10/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 15, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_11/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 9, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.negative_2/Neg", + "type": "NEG", + "compute_unit": "CPU", + "execution_time": 9, + "execution_cycles": 0 + }, + { + "name": "model/tf.concat_2/node_cat_5", + "type": "CONCATENATION", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_19/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_10/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_8/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_5/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_7/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_20/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 5, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_12/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_13/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 9, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.negative_3/Neg", + "type": "NEG", + "compute_unit": "CPU", + "execution_time": 9, + "execution_cycles": 0 + }, + { + "name": "model/tf.concat_3/node_cat_6", + "type": "CONCATENATION", + "compute_unit": "CPU", + "execution_time": 161, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_21/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_11/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_11/Add", + "type": "BATCH_MATMUL", + "compute_unit": "CPU", + "execution_time": 70, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_22/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_12/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.softmax_1/Softmax", + "type": "SOFTMAX", + "compute_unit": "CPU", + "execution_time": 27, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_9/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 148, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_6/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 11, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_8/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_10/MatMul", + "type": "BATCH_MATMUL", + "compute_unit": "CPU", + "execution_time": 777, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_10/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 11, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_7/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_23/Mul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_13/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_24/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_3/Mean", + "type": "MEAN", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_14/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 728, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt_3/Sqrt", + "type": "SQRT", + "compute_unit": "CPU", + "execution_time": 50, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal_3/Reciprocal", + "type": "DIV", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_25/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 724, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_12/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sigmoid_1/Sigmoid", + "type": "LOGISTIC", + "compute_unit": "CPU", + "execution_time": 763, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_27/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 10, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_13/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_28/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_29/Mul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_15/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_30/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_4/Mean", + "type": "MEAN", + "compute_unit": "CPU", + "execution_time": 2172, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_16/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 17, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt_4/Sqrt", + "type": "SQRT", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal_4/Reciprocal", + "type": "DIV", + "compute_unit": "CPU", + "execution_time": 14, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_31/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 16, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_15/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 8, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_14/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_8/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 5, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_11/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 14, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_33/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 10, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_17/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 9, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_18/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 14, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.negative_4/Neg", + "type": "NEG", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.concat_4/node_cat_7", + "type": "CONCATENATION", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_34/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_17/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_15/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_9/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 5, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_12/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 14, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_35/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 8, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_19/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 9, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_20/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 160, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.negative_5/Neg", + "type": "NEG", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.concat_5/node_cat_8", + "type": "CONCATENATION", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_36/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 70, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_18/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_18/Add", + "type": "BATCH_MATMUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_37/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 27, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_19/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 147, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.softmax_2/Softmax", + "type": "SOFTMAX", + "compute_unit": "CPU", + "execution_time": 11, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_16/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_10/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 777, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_13/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 11, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_17/MatMul", + "type": "BATCH_MATMUL", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_15/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_11/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_38/Mul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_20/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_39/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 724, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_5/Mean", + "type": "MEAN", + "compute_unit": "CPU", + "execution_time": 50, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_21/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt_5/Sqrt", + "type": "SQRT", + "compute_unit": "CPU", + "execution_time": 722, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal_5/Reciprocal", + "type": "DIV", + "compute_unit": "CPU", + "execution_time": 14, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_40/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 763, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_19/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 10, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sigmoid_2/Sigmoid", + "type": "LOGISTIC", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_42/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_20/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_43/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_44/Mul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_22/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 2171, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_45/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 17, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_6/Mean", + "type": "MEAN", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_23/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt_6/Sqrt", + "type": "SQRT", + "compute_unit": "CPU", + "execution_time": 16, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal_6/Reciprocal", + "type": "DIV", + "compute_unit": "CPU", + "execution_time": 8, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_46/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_22/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 5, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_21/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 15, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_12/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 8, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_16/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 8, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_48/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_24/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_25/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.negative_6/Neg", + "type": "NEG", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.concat_6/node_cat_9", + "type": "CONCATENATION", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_49/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_24/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 5, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_22/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_13/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_17/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 9, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_50/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 160, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_26/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_27/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.negative_7/Neg", + "type": "NEG", + "compute_unit": "CPU", + "execution_time": 70, + "execution_cycles": 0 + }, + { + "name": "model/tf.concat_7/node_cat_10", + "type": "CONCATENATION", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_51/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_25/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 26, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_25/Add", + "type": "BATCH_MATMUL", + "compute_unit": "CPU", + "execution_time": 148, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_52/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 11, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_26/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.softmax_3/Softmax", + "type": "SOFTMAX", + "compute_unit": "CPU", + "execution_time": 778, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_23/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 11, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_14/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_18/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_24/MatMul", + "type": "BATCH_MATMUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_20/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_15/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_53/Mul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 724, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_27/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 50, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_54/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_7/Mean", + "type": "MEAN", + "compute_unit": "CPU", + "execution_time": 721, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_28/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt_7/Sqrt", + "type": "SQRT", + "compute_unit": "CPU", + "execution_time": 759, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal_7/Reciprocal", + "type": "DIV", + "compute_unit": "CPU", + "execution_time": 10, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_55/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_26/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sigmoid_3/Sigmoid", + "type": "LOGISTIC", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_57/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_27/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_58/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 2174, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_59/Mul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 17, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_29/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_60/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_8/Mean", + "type": "MEAN", + "compute_unit": "CPU", + "execution_time": 15, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_30/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 8, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt_8/Sqrt", + "type": "SQRT", + "compute_unit": "CPU", + "execution_time": 8, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal_8/Reciprocal", + "type": "DIV", + "compute_unit": "CPU", + "execution_time": 5, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_61/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 15, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_29/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 9, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_28/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 9, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_16/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_21/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_63/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_31/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_32/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.negative_8/Neg", + "type": "NEG", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.concat_8/node_cat_11", + "type": "CONCATENATION", + "compute_unit": "CPU", + "execution_time": 5, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_64/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_31/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_29/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 9, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_17/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 160, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_22/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_65/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_33/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 70, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_34/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.negative_9/Neg", + "type": "NEG", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.concat_9/node_cat_12", + "type": "CONCATENATION", + "compute_unit": "CPU", + "execution_time": 27, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_66/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 148, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_32/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 11, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_32/Add", + "type": "BATCH_MATMUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_67/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 773, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_33/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 11, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.softmax_4/Softmax", + "type": "SOFTMAX", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_30/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_18/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_23/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_31/MatMul", + "type": "BATCH_MATMUL", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_25/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 724, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_19/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 49, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_68/Mul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_34/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 721, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_69/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_9/Mean", + "type": "MEAN", + "compute_unit": "CPU", + "execution_time": 758, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_35/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 11, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt_9/Sqrt", + "type": "SQRT", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal_9/Reciprocal", + "type": "DIV", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_70/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_33/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sigmoid_4/Sigmoid", + "type": "LOGISTIC", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_72/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 2168, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_34/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 17, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_73/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_74/Mul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_36/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 16, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_75/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 8, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_10/Mean", + "type": "MEAN", + "compute_unit": "CPU", + "execution_time": 8, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_37/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 5, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt_10/Sqrt", + "type": "SQRT", + "compute_unit": "CPU", + "execution_time": 14, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal_10/Reciprocal", + "type": "DIV", + "compute_unit": "CPU", + "execution_time": 9, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_76/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 9, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_36/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_35/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_20/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_26/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_78/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_38/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_39/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 5, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.negative_10/Neg", + "type": "NEG", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.concat_10/node_cat_13", + "type": "CONCATENATION", + "compute_unit": "CPU", + "execution_time": 8, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_79/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 9, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_38/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 160, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_36/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_21/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_27/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 70, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_80/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_40/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_41/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 27, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.negative_11/Neg", + "type": "NEG", + "compute_unit": "CPU", + "execution_time": 148, + "execution_cycles": 0 + }, + { + "name": "model/tf.concat_11/node_cat_14", + "type": "CONCATENATION", + "compute_unit": "CPU", + "execution_time": 11, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_81/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_39/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 773, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_39/Add", + "type": "BATCH_MATMUL", + "compute_unit": "CPU", + "execution_time": 11, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_82/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_40/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.softmax_5/Softmax", + "type": "SOFTMAX", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_37/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_22/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_28/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 723, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_38/MatMul", + "type": "BATCH_MATMUL", + "compute_unit": "CPU", + "execution_time": 49, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_30/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_23/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 722, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_83/Mul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_41/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 760, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_84/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 10, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_11/Mean", + "type": "MEAN", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_42/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt_11/Sqrt", + "type": "SQRT", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal_11/Reciprocal", + "type": "DIV", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_85/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_40/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 2170, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sigmoid_5/Sigmoid", + "type": "LOGISTIC", + "compute_unit": "CPU", + "execution_time": 17, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_87/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_41/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_88/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 16, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_89/Mul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 8, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_43/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_90/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_12/Mean", + "type": "MEAN", + "compute_unit": "CPU", + "execution_time": 14, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_44/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 10, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt_12/Sqrt", + "type": "SQRT", + "compute_unit": "CPU", + "execution_time": 9, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal_12/Reciprocal", + "type": "DIV", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_91/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_43/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_42/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_24/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_31/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_93/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_45/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 14, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_46/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.negative_12/Neg", + "type": "NEG", + "compute_unit": "CPU", + "execution_time": 9, + "execution_cycles": 0 + }, + { + "name": "model/tf.concat_12/node_cat_15", + "type": "CONCATENATION", + "compute_unit": "CPU", + "execution_time": 160, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_94/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_45/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_43/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 70, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_25/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_32/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_95/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 26, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_47/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 148, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_48/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 11, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.negative_13/Neg", + "type": "NEG", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.concat_13/node_cat_16", + "type": "CONCATENATION", + "compute_unit": "CPU", + "execution_time": 786, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_96/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 11, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_46/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_46/Add", + "type": "BATCH_MATMUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_97/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_47/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.softmax_6/Softmax", + "type": "SOFTMAX", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_44/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 724, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_26/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 49, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_33/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_45/MatMul", + "type": "BATCH_MATMUL", + "compute_unit": "CPU", + "execution_time": 721, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_35/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_27/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 765, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_98/Mul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 11, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_48/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_99/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_13/Mean", + "type": "MEAN", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_49/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt_13/Sqrt", + "type": "SQRT", + "compute_unit": "CPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal_13/Reciprocal", + "type": "DIV", + "compute_unit": "CPU", + "execution_time": 2169, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_100/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 17, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_47/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sigmoid_6/Sigmoid", + "type": "LOGISTIC", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_102/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 16, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_48/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 8, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_103/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_104/Mul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 5, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_50/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 14, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_105/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 9, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_14/Mean", + "type": "MEAN", + "compute_unit": "CPU", + "execution_time": 8, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_51/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 14, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt_14/Sqrt", + "type": "SQRT", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal_14/Reciprocal", + "type": "DIV", + "compute_unit": "CPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_106/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_50/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_49/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_28/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 5, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_36/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_108/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_52/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 9, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_53/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 160, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.negative_14/Neg", + "type": "NEG", + "compute_unit": "CPU", + "execution_time": 7, + "execution_cycles": 0 + }, + { + "name": "model/tf.concat_14/node_cat_17", + "type": "CONCATENATION", + "compute_unit": "CPU", + "execution_time": 13, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_109/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 15, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_52/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_50/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 11, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_29/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_37/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_110/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_54/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_55/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.negative_15/Neg", + "type": "NEG", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.concat_15/node_cat_18", + "type": "CONCATENATION", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_111/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_53/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_53/Add", + "type": "BATCH_MATMUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_112/Mul", + "type": "MUL", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_54/Add", + "type": "ADD", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.softmax_7/Softmax", + "type": "SOFTMAX", + "compute_unit": "GPU", + "execution_time": 73, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_51/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_30/Reshape", + "type": "RESHAPE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_38/transpose", + "type": "TRANSPOSE", + "compute_unit": "CPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_52/MatMul", + "type": "BATCH_MATMUL", + "compute_unit": "GPU", + "execution_time": 68, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_40/transpose", + "type": "TRANSPOSE", + "compute_unit": "GPU", + "execution_time": 10, + "execution_cycles": 0 + }, + { + "name": "model/tf.reshape_31/Reshape", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 12, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_113/Mul", + "type": "FULLY_CONNECTED", + "compute_unit": "GPU", + "execution_time": 442, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_55/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_114/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 5, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_15/Mean", + "type": "MEAN", + "compute_unit": "GPU", + "execution_time": 53, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_56/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt_15/Sqrt", + "type": "SQRT", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal_15/Reciprocal", + "type": "DIV", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_115/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 5, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_54/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "GPU", + "execution_time": 368, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sigmoid_7/Sigmoid", + "type": "LOGISTIC", + "compute_unit": "GPU", + "execution_time": 9, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_117/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.linalg.matmul_55/MatMul", + "type": "FULLY_CONNECTED", + "compute_unit": "GPU", + "execution_time": 372, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_118/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_119/Mul", + "type": "FULLY_CONNECTED", + "compute_unit": "GPU", + "execution_time": 441, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_57/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_120/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 5, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_16/Mean", + "type": "MEAN", + "compute_unit": "GPU", + "execution_time": 52, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_58/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sqrt_16/Sqrt", + "type": "SQRT", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reciprocal_16/Reciprocal", + "type": "DIV", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_121/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 4, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_59/Add", + "type": "FULLY_CONNECTED", + "compute_unit": "GPU", + "execution_time": 367, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose/conv1d_transpose/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose/conv1d_transpose", + "type": "TRANSPOSE_CONV", + "compute_unit": "GPU", + "execution_time": 1333, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose/conv1d_transpose/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad_1/Pad", + "type": "PAD", + "compute_unit": "GPU", + "execution_time": 15, + "execution_cycles": 0 + }, + { + "name": "model/node_conv1d_1/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/node_conv1d_1/depthwise", + "type": "DEPTHWISE_CONV_2D", + "compute_unit": "GPU", + "execution_time": 37, + "execution_cycles": 0 + }, + { + "name": "model/node_conv1d_1/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_17/Mean", + "type": "MEAN", + "compute_unit": "GPU", + "execution_time": 21, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.squared_difference/SquaredDifference", + "type": "SQUARED_DIFFERENCE", + "compute_unit": "GPU", + "execution_time": 15, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_18/Mean", + "type": "MEAN", + "compute_unit": "GPU", + "execution_time": 20, + "execution_cycles": 0 + }, + { + "name": "model/tf.__operators__.add/AddV2", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.rsqrt/Rsqrt", + "type": "RSQRT", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_123/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 10, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_124/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 24, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_125/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 24, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.subtract/Sub", + "type": "SUB", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.__operators__.add_1/AddV2", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_62/Add", + "type": "FULLY_CONNECTED", + "compute_unit": "GPU", + "execution_time": 5916, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.gelu/Gelu/Erfc", + "type": "GELU", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_63/Add", + "type": "FULLY_CONNECTED", + "compute_unit": "GPU", + "execution_time": 6448, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_64/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose_1/conv1d_transpose/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose_1/conv1d_transpose", + "type": "TRANSPOSE_CONV", + "compute_unit": "GPU", + "execution_time": 2742, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose_1/conv1d_transpose/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad_2/Pad", + "type": "PAD", + "compute_unit": "GPU", + "execution_time": 29, + "execution_cycles": 0 + }, + { + "name": "model/node_conv1d_2/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/node_conv1d_2/depthwise", + "type": "DEPTHWISE_CONV_2D", + "compute_unit": "GPU", + "execution_time": 69, + "execution_cycles": 0 + }, + { + "name": "model/node_conv1d_2/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_19/Mean", + "type": "MEAN", + "compute_unit": "GPU", + "execution_time": 36, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.squared_difference_1/SquaredDifference", + "type": "SQUARED_DIFFERENCE", + "compute_unit": "GPU", + "execution_time": 28, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.reduce_mean_20/Mean", + "type": "MEAN", + "compute_unit": "GPU", + "execution_time": 37, + "execution_cycles": 0 + }, + { + "name": "model/tf.__operators__.add_2/AddV2", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.rsqrt_1/Rsqrt", + "type": "RSQRT", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_126/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 17, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_127/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 47, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_128/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 47, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.subtract_1/Sub", + "type": "SUB", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.__operators__.add_3/AddV2", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_67/Add", + "type": "FULLY_CONNECTED", + "compute_unit": "GPU", + "execution_time": 11905, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.gelu_1/Gelu/Erfc", + "type": "GELU", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_68/Add", + "type": "FULLY_CONNECTED", + "compute_unit": "GPU", + "execution_time": 12398, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_69/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad_3/Pad", + "type": "PAD", + "compute_unit": "GPU", + "execution_time": 29, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_1/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_1/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_1/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_129/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_130/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_131/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_71/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose_2/conv1d_transpose/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose_2/conv1d_transpose", + "type": "TRANSPOSE_CONV", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose_2/conv1d_transpose/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_56/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_132/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_1/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_133/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_134/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_73/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad_4/Pad", + "type": "PAD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_2/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_2/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_2/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_135/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_2/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_136/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_137/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_75/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_3/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_3/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_3/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_77/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_138/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_3/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_139/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_140/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_78/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad_5/Pad", + "type": "PAD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_4/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_4/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_4/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_141/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_4/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_142/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_143/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_80/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_5/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_5/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_5/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_82/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_144/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_5/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_145/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_146/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_83/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad_6/Pad", + "type": "PAD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_6/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_6/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_6/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_147/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_6/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_148/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_149/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_85/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_7/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_7/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_7/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_87/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_150/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_7/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_151/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_152/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_88/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose_3/conv1d_transpose/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose_3/conv1d_transpose", + "type": "TRANSPOSE_CONV", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose_3/conv1d_transpose/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_57/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_153/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_8/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_154/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_155/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_90/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad_7/Pad", + "type": "PAD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_8/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_8/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 99408, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_8/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_156/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 428, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_9/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_157/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_158/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_92/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_9/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_9/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 12808, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_9/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_94/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_159/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 426, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_10/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_160/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_161/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_95/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad_8/Pad", + "type": "PAD", + "compute_unit": "GPU", + "execution_time": 429, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_10/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_10/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 100051, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_10/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_162/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 428, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_11/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_163/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_164/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_97/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_11/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_11/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 12817, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_11/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_99/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_165/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 428, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_12/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_166/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_167/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_100/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad_9/Pad", + "type": "PAD", + "compute_unit": "GPU", + "execution_time": 425, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_12/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_12/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 98974, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_12/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_168/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 428, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_13/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_169/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_170/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_102/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_13/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_13/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 12816, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_13/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_104/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_171/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 426, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_14/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_172/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_173/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_105/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose_4/conv1d_transpose/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose_4/conv1d_transpose", + "type": "TRANSPOSE_CONV", + "compute_unit": "GPU", + "execution_time": 104942, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose_4/conv1d_transpose/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_58/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "GPU", + "execution_time": 843, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_174/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 847, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_15/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_175/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_176/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_107/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad_10/Pad", + "type": "PAD", + "compute_unit": "GPU", + "execution_time": 874, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_14/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_14/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 122346, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_14/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_177/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 838, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_16/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_178/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_179/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_109/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_15/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_15/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 14474, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_15/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_111/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_180/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 846, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_17/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_181/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_182/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_112/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad_11/Pad", + "type": "PAD", + "compute_unit": "GPU", + "execution_time": 859, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_16/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_16/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 121423, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_16/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_183/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 849, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_18/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_184/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_185/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_114/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_17/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_17/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 14487, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_17/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_116/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_186/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 843, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_19/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_187/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_188/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_117/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad_12/Pad", + "type": "PAD", + "compute_unit": "GPU", + "execution_time": 849, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_18/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_18/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 123251, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_18/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_189/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 837, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_20/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_190/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_191/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_119/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_19/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_19/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 14480, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_19/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_121/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_192/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 847, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_21/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_193/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_194/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_122/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose_5/conv1d_transpose/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose_5/conv1d_transpose", + "type": "TRANSPOSE_CONV", + "compute_unit": "GPU", + "execution_time": 56092, + "execution_cycles": 0 + }, + { + "name": "model/tf.nn.conv1d_transpose_5/conv1d_transpose/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_59/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "GPU", + "execution_time": 1267, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_195/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 1262, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_22/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_196/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_197/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_124/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad_13/Pad", + "type": "PAD", + "compute_unit": "GPU", + "execution_time": 1291, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_20/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_20/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 89065, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_20/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_198/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 1262, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_23/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_199/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_200/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_126/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_21/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_21/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 11259, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_21/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_128/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_201/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 1266, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_24/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_202/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_203/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_129/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad_14/Pad", + "type": "PAD", + "compute_unit": "GPU", + "execution_time": 1267, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_22/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_22/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 89285, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_22/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_204/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 1258, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_25/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_205/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_206/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_131/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_23/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_23/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 11276, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_23/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_133/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_207/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 1258, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_26/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_208/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_209/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_134/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad_15/Pad", + "type": "PAD", + "compute_unit": "GPU", + "execution_time": 1259, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_24/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_24/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 90348, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_24/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_210/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 1260, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_27/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_211/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_212/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_136/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_25/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_25/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 11269, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_25/DynamicConv1D/Squeeze", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_138/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_213/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 1266, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.sin_28/Sin", + "type": "SIN", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_214/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.multiply_215/Mul", + "type": "MUL", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.math.add_139/Add", + "type": "ADD", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.pad_16/Pad", + "type": "PAD", + "compute_unit": "GPU", + "execution_time": 1294, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_26/DynamicConv1D/ExpandDims", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 0, + "execution_cycles": 0 + }, + { + "name": "model/dynamic_conv1d_26/DynamicConv1D", + "type": "CONV_2D", + "compute_unit": "GPU", + "execution_time": 1744, + "execution_cycles": 0 + }, + { + "name": "model/tf.compat.v1.transpose_41/transpose", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 76, + "execution_cycles": 0 + }, + { + "name": "model/tf.strided_slice_60/StridedSlice", + "type": "STRIDED_SLICE", + "compute_unit": "GPU", + "execution_time": 22, + "execution_cycles": 0 + }, + { + "name": "output_0", + "type": "RESHAPE", + "compute_unit": "GPU", + "execution_time": 41, + "execution_cycles": 0 + } + ] + } +} diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/sa8775p/profile_submission.json b/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/sa8775p/profile_submission.json new file mode 100644 index 000000000..f727e5a77 --- /dev/null +++ b/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/sa8775p/profile_submission.json @@ -0,0 +1,14 @@ +{ + "timestamp_utc": "2026-09-23T22:21:03.431758+00:00", + "facility": "Qualcomm AI Hub Workbench", + "qai_hub_version": "0.55.0", + "source_compile_job_id": "jp410o3vp", + "target_model_id": "mnze95don", + "input_dataset_id": null, + "device": "SA8775P ADP", + "options": "--compute_unit gpu", + "kind": "profile", + "status": "SUBMITTED", + "job_id": "j5wl78omp", + "url": "https://workbench.aihub.qualcomm.com/jobs/j5wl78omp/" +} diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/xelite/compile_report.json b/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/xelite/compile_report.json new file mode 100644 index 000000000..ff90e49a2 --- /dev/null +++ b/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/xelite/compile_report.json @@ -0,0 +1,31 @@ +{ + "retrieved_utc": "2026-09-23T22:27:16.875471+00:00", + "qai_hub_version": "0.55.0", + "facility": "Qualcomm AI Hub Workbench", + "job_id": "j5qlyz8op", + "url": "https://workbench.aihub.qualcomm.com/jobs/j5qlyz8op/", + "status": "SUCCESS", + "status_message": "", + "source_model_id": "mqyer339n", + "target_model_id": "mnz079ezm", + "device": { + "name": "Snapdragon X Elite CRD", + "os": "11", + "attributes": [ + "os:windows", + "format:compute", + "framework:onnx", + "vendor:qualcomm", + "abi:aarch64-windows", + "chipset:qualcomm-snapdragon-x-elite", + "chipset:sc8380xp", + "hexagon:v73", + "soc-model:60", + "htp-supports-fp16:true", + "htp-supports-weight-sharing:true", + "framework:qnn" + ] + }, + "options": "--target_runtime onnx", + "hub_version": "aihub-2026.09.11.0" +} diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/xelite/compile_submission.json b/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/xelite/compile_submission.json new file mode 100644 index 000000000..bb5692421 --- /dev/null +++ b/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/xelite/compile_submission.json @@ -0,0 +1,11 @@ +{ + "timestamp_utc": "2026-09-23T22:24:46.161553+00:00", + "facility": "Qualcomm AI Hub Workbench", + "qai_hub_version": "0.55.0", + "job_id": "j5qlyz8op", + "url": "https://workbench.aihub.qualcomm.com/jobs/j5qlyz8op/", + "source_model_id": "mqyer339n", + "device": "Snapdragon X Elite CRD", + "options": "--target_runtime onnx", + "reason": "historical TFLite target rejected on Windows ARM; try ONNX runtime path" +} diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/xelite/cpu/inference_submission.json b/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/xelite/cpu/inference_submission.json new file mode 100644 index 000000000..fef68a9ab --- /dev/null +++ b/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/xelite/cpu/inference_submission.json @@ -0,0 +1,14 @@ +{ + "timestamp_utc": "2026-09-23T22:27:38.212208+00:00", + "facility": "Qualcomm AI Hub Workbench", + "qai_hub_version": "0.55.0", + "source_compile_job_id": "j5qlyz8op", + "target_model_id": "mnz079ezm", + "input_dataset_id": "d7m80jl32", + "device": "Snapdragon X Elite CRD", + "options": "--compute_unit cpu", + "kind": "inference", + "status": "SUBMITTED", + "job_id": "j5wl78nmp", + "url": "https://workbench.aihub.qualcomm.com/jobs/j5wl78nmp/" +} diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/xelite/cpu/profile_submission.json b/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/xelite/cpu/profile_submission.json new file mode 100644 index 000000000..5628f6102 --- /dev/null +++ b/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/xelite/cpu/profile_submission.json @@ -0,0 +1,14 @@ +{ + "timestamp_utc": "2026-09-23T22:27:39.866884+00:00", + "facility": "Qualcomm AI Hub Workbench", + "qai_hub_version": "0.55.0", + "source_compile_job_id": "j5qlyz8op", + "target_model_id": "mnz079ezm", + "input_dataset_id": null, + "device": "Snapdragon X Elite CRD", + "options": "--compute_unit cpu", + "kind": "profile", + "status": "SUBMITTED", + "job_id": "jg9zmke8p", + "url": "https://workbench.aihub.qualcomm.com/jobs/jg9zmke8p/" +} diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/xelite/gpu/inference_submission.json b/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/xelite/gpu/inference_submission.json new file mode 100644 index 000000000..60d78314f --- /dev/null +++ b/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/xelite/gpu/inference_submission.json @@ -0,0 +1,14 @@ +{ + "timestamp_utc": "2026-09-23T22:27:34.392680+00:00", + "facility": "Qualcomm AI Hub Workbench", + "qai_hub_version": "0.55.0", + "source_compile_job_id": "j5qlyz8op", + "target_model_id": "mnz079ezm", + "input_dataset_id": "d7m80jl32", + "device": "Snapdragon X Elite CRD", + "options": "--compute_unit gpu --onnx_execution_providers directml", + "kind": "inference", + "status": "SUBMITTED", + "job_id": "jpe7z83v5", + "url": "https://workbench.aihub.qualcomm.com/jobs/jpe7z83v5/" +} diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/xelite/gpu/profile_submission.json b/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/xelite/gpu/profile_submission.json new file mode 100644 index 000000000..c2e879fed --- /dev/null +++ b/benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/xelite/gpu/profile_submission.json @@ -0,0 +1,14 @@ +{ + "timestamp_utc": "2026-09-23T22:27:36.042380+00:00", + "facility": "Qualcomm AI Hub Workbench", + "qai_hub_version": "0.55.0", + "source_compile_job_id": "j5qlyz8op", + "target_model_id": "mnz079ezm", + "input_dataset_id": null, + "device": "Snapdragon X Elite CRD", + "options": "--compute_unit gpu --onnx_execution_providers directml", + "kind": "profile", + "status": "SUBMITTED", + "job_id": "jgzlm8kx5", + "url": "https://workbench.aihub.qualcomm.com/jobs/jgzlm8kx5/" +} diff --git a/benchmarks/edge_harness/results/e2e_profiling_20260922/evidence/summary/README.md b/benchmarks/edge_harness/results/e2e_profiling_20260922/evidence/summary/README.md index 12dd205f0..0bafe55b6 100644 --- a/benchmarks/edge_harness/results/e2e_profiling_20260922/evidence/summary/README.md +++ b/benchmarks/edge_harness/results/e2e_profiling_20260922/evidence/summary/README.md @@ -11,6 +11,8 @@ The [WSL CPU Spark GGUF Omni profile](../../../e2e_expansion_20260923/evidence/s On a hosted [Galaxy S24 Spark attention-layer experiment](../../../e2e_expansion_20260923/evidence/spark_s24_full_attention/README.md), a real one-layer W8A16 QDQ artifact executed on NPU and matched prior S25 component outputs exactly on one dataset. The 100-sample layer p50/p95 was 1.109/1.205 ms; the service's 1.098 ms estimated-time field was the sample minimum. FP32-source versus S24 output hidden-state relative L2 was 1.351% without a downstream token-quality gate. This adds component C evidence only; device-local generation remains absent. The same W8A16 layer also ran on hosted [Snapdragon X Elite CRD](../../../e2e_expansion_20260923/evidence/spark_xelite_full_attention/README.md) and [SA8775P ADP](../../../e2e_expansion_20260923/evidence/spark_sa8775_full_attention/README.md) NPUs, with pinned-fixture outputs identical to S24/S25; the 100-sample component p50/p95 was 1.433/1.606 ms and 1.837/2.079 ms, respectively. On [RB3 Gen 2 / QCS6490](../../../e2e_expansion_20260923/evidence/spark_rb3_full_attention/README.md), that W8A16 graph failed QNN DLC loading even after target-specific recompilation. An FP32 ONNX CPU layer then passed with source-relative L2 below 9e-7, while a calibrated W8A8 NPU layer executed but had 20.9% hidden-state relative L2 and remains numerically unqualified. These hosted component outcomes do not establish full generation or comparable device speed. + +A [Qwen3-TTS Code2Wav follow-up](../../../e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/README.md) recovered source and target artifacts, a retained fixture, and raw historical profiles. On SA8775P, fresh GPU-requested inference saturated 96.63% of waveform samples and differed from original ONNX CPU by 11.832 relative L2; this tested vocoder path is numerically unqualified. Historical SA8775P/RB3 profile p50/p95 values were 1.751/1.874 s and 3.143/3.189 s, respectively, with both CPU and GPU rows; earlier estimated-time fields were minima. X Elite ONNX compile passed after the old TFLite rejection. Fresh profile/control/other-device jobs remain pending, so they have no new execution conclusion. ## Configuration × model @@ -77,7 +79,7 @@ NOT E2E means no complete device/model workload was verified. “Scoped E2E” i | PC CPU+iGPU+NPU +/- discrete GPU, joint model execution | MiniCPM-o 4.5 | NOT_E2E_PROFILEABLE | No qualifying same-model multi-accelerator deployment/artifact plan or overlap/recovery evidence. Individual routes are not a joint pipeline. | Supply and validate the missing matching artifact/backend, then run the complete specified workload. | | PC CPU+iGPU+NPU +/- discrete GPU, joint model execution | InternVLA-A1 | NOT_E2E_PROFILEABLE | No qualifying same-model multi-accelerator deployment/artifact plan or overlap/recovery evidence. Individual routes are not a joint pipeline. | Supply and validate the missing matching artifact/backend, then run the complete specified workload. | | PC Snapdragon X Elite CRD / AI Hub | Spark-X2.5 | COMPONENT_NPU_INFERENCE_PROFILED; NOT_E2E_PROFILEABLE | A real Spark-X2.5-1.7B one-layer W8A16 QDQ attention artifact, compiled as QNN DLC, ran on the exact hosted Snapdragon X Elite CRD (Windows 11 ARM64). Inference returned finite hidden/new-K/new-V tensors bitwise identical to the prior S24/S25 NPU outputs on the same fixture; the profile attributed all 73 execution-detail rows to NPU. Across 100 component samples, nearest-rank p50/p95 was 1.433/1.606 ms; the 1.346 ms estimated-time field is the minimum. Hidden/K/V relative L2 versus original FP32 ONNX CPU was 1.351%/0.377%/0.650%, without a next-token quality tolerance. There is no complete 28-layer prefill/decode/KV-ring/sampling loop, resident Omni controller or complete-request timing. | Qualify a complete X Elite resident artifact/controller with state, token quality, memory admission/cancel and sustained power; [X Elite NPU raw evidence](../../../e2e_expansion_20260923/evidence/spark_xelite_full_attention/README.md). | -| PC Snapdragon X Elite CRD / AI Hub | Qwen3-TTS 0.6B CustomVoice | NOT_E2E_PROFILEABLE | Historical QNN talker profile re-fetched successfully; no numerical/full-pipeline gate. Historical TFLite vocoder target was refused on this Windows ARM device. | Validate target-specific numerical quality, complete local execution, memory and sustained behavior. | +| PC Snapdragon X Elite CRD / AI Hub | Qwen3-TTS 0.6B CustomVoice | COMPONENT_ONNX_VOCODER_COMPILE_PASS; NOT_E2E_PROFILEABLE | Historical QNN talker profiling exists without a numerical or full-pipeline gate. The older TFLite vocoder target was rejected on this Windows ARM device; a fresh ONNX vocoder compile passed, but its explicit DirectML GPU and CPU inference/profile jobs were pending at this snapshot. No waveform or actual placement conclusion follows from compile alone. | Retrieve and audit the pending ONNX vocoder jobs, qualify talker/predictor and complete local streaming, memory and sustained behavior; [vocoder evidence](../../../e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/README.md). | | PC Snapdragon X Elite CRD / AI Hub | Qwen3.8-27B | NOT_E2E_PROFILEABLE | No complete qualified target artifact and device-local stateful Omni backend. Hub jobs provide component execution, not an on-device generation/streaming controller; ADB has no attached device. | Supply and validate the missing matching artifact/backend, then run the complete specified workload. | | PC Snapdragon X Elite CRD / AI Hub | MiniCPM-o 4.5 | NOT_E2E_PROFILEABLE | No complete qualified target artifact and device-local stateful Omni backend. Hub jobs provide component execution, not an on-device generation/streaming controller; ADB has no attached device. | Supply and validate the missing matching artifact/backend, then run the complete specified workload. | | PC Snapdragon X Elite CRD / AI Hub | InternVLA-A1 | NOT_E2E_PROFILEABLE | No complete qualified target artifact and device-local stateful Omni backend. Hub jobs provide component execution, not an on-device generation/streaming controller; ADB has no attached device. | Supply and validate the missing matching artifact/backend, then run the complete specified workload. | @@ -92,12 +94,12 @@ NOT E2E means no complete device/model workload was verified. “Scoped E2E” i | Mobile Galaxy S24 / Snapdragon 8 Gen 3 | MiniCPM-o 4.5 | NOT_E2E_PROFILEABLE | Historical FP16 speech-head job re-fetched successfully; SNR 49.22 dB/top-1 match in the recorded parity test. W8A16 top-1 failed. Not complete MiniCPM-o. | Qualify thinker/encoders/vocoder and stateful local integration. | | Mobile Galaxy S24 / Snapdragon 8 Gen 3 | InternVLA-A1 | NOT_E2E_PROFILEABLE | No complete qualified target artifact and device-local stateful Omni backend. Hub jobs provide component execution, not an on-device generation/streaming controller; ADB has no attached device. | Supply and validate the missing matching artifact/backend, then run the complete specified workload. | | Embedded SA8775P ADP / AI Hub | Spark-X2.5 | COMPONENT_NPU_INFERENCE_PROFILED; NOT_E2E_PROFILEABLE | A real Spark-X2.5-1.7B one-layer W8A16 QDQ attention artifact, compiled as QNN DLC, ran on the exact hosted SA8775P ADP (Android 14). Inference returned finite hidden/new-K/new-V tensors bitwise identical to the prior S24/S25 NPU outputs on the same fixture; the profile attributed all 73 execution-detail rows to NPU. Across 100 component samples, nearest-rank p50/p95 was 1.837/2.079 ms; the 1.749 ms estimated-time field is the minimum. Hidden/K/V relative L2 versus original FP32 ONNX CPU was 1.351%/0.377%/0.650%, without a next-token quality tolerance. There is no complete 28-layer prefill/decode/KV-ring/sampling loop, resident Omni controller or complete-request timing. | Qualify a complete embedded resident artifact/controller with state, token quality, memory admission/cancel and sustained power; [SA8775P NPU raw evidence](../../../e2e_expansion_20260923/evidence/spark_sa8775_full_attention/README.md). | -| Embedded SA8775P ADP / AI Hub | Qwen3-TTS 0.6B CustomVoice | NOT_E2E_PROFILEABLE | Historical NPU talker and GPU vocoder profiles re-fetched successfully; no complete pipeline, parity or co-residency qualification. | Validate target-specific numerical quality, complete local execution, memory and sustained behavior. | +| Embedded SA8775P ADP / AI Hub | Qwen3-TTS 0.6B CustomVoice | COMPONENT_VOCODER_NUMERIC_FAIL; NOT_E2E_PROFILEABLE | Historical NPU talker and mixed CPU+GPU vocoder profiles exist without a complete pipeline. A fresh GPU-requested Code2Wav inference on the retained fixture saturated 96.63% of waveform samples, with 11.832 relative L2 and -21.46 dB SNR versus original ONNX CPU; this tested vocoder path is numerically unqualified. The fresh profile has 100 samples at nearest-rank p50/p95 1.776/1.880 s with 403 CPU and 335 GPU execution-detail rows, not an all-GPU stage; it times a numerically failed output. CPU/FP32-GPU control jobs were pending. | Isolate delegate/precision failure, establish waveform and listening quality, then validate co-resident talker/predictor/vocoder, streaming, memory and sustained behavior; [raw vocoder evidence](../../../e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/README.md). | | Embedded SA8775P ADP / AI Hub | Qwen3.8-27B | NOT_E2E_PROFILEABLE | No complete qualified target artifact and device-local stateful Omni backend. Hub jobs provide component execution, not an on-device generation/streaming controller; ADB has no attached device. | Supply and validate the missing matching artifact/backend, then run the complete specified workload. | | Embedded SA8775P ADP / AI Hub | MiniCPM-o 4.5 | NOT_E2E_PROFILEABLE | No complete qualified target artifact and device-local stateful Omni backend. Hub jobs provide component execution, not an on-device generation/streaming controller; ADB has no attached device. | Supply and validate the missing matching artifact/backend, then run the complete specified workload. | | Embedded SA8775P ADP / AI Hub | InternVLA-A1 | NOT_E2E_PROFILEABLE | No complete qualified target artifact and device-local stateful Omni backend. Hub jobs provide component execution, not an on-device generation/streaming controller; ADB has no attached device. | Supply and validate the missing matching artifact/backend, then run the complete specified workload. | | Embedded RB3 Gen 2 / QCS6490 / AI Hub | Spark-X2.5 | COMPONENT_CPU_PARITY_PASS; COMPONENT_NPU_NUMERIC_UNQUALIFIED; NOT_E2E_PROFILEABLE | On the exact hosted Dragonwing RB3 Gen 2 Vision Kit (QCS6490, QC Linux 1.6), the reused S24 W8A16 QNN DLC and a separately RB3-compiled W8A16 DLC each failed inference/profile at QnnModel_composeGraphsFromDlc: MODEL_GRAPH_ERROR. An FP32 ONNX one-layer CPU route passed with all 56 profile rows on CPU, source-relative hidden/K/V L2 of 8.73e-7/2.98e-7/3.37e-7 and 100-sample component p50/p95 19.304/21.113 ms. A calibrated W8A8 QNN DLC ran with all 61 rows on NPU and p50/p95 5.610/5.761 ms, but hidden/K/V relative L2 was 20.914%/1.702%/4.413% versus FP32 CPU, without a next-token quality gate. These are different precisions, not a qualified speedup; no complete 28-layer prefill/decode/KV-ring/sampling, local Omni controller or complete-request timing exists. | Improve representative W8A8 calibration or find another compatible quality-passing artifact; validate token parity, then full device-resident generation, admission/cancel and sustained power; [RB3 raw evidence](../../../e2e_expansion_20260923/evidence/spark_rb3_full_attention/README.md). | -| Embedded RB3 Gen 2 / QCS6490 / AI Hub | Qwen3-TTS 0.6B CustomVoice | NOT_E2E_PROFILEABLE | Historical GPU vocoder profile re-fetched successfully. The attempted NPU talker build was rejected for floating-point inputs. No full model pipeline. | Validate target-specific numerical quality, complete local execution, memory and sustained behavior. | +| Embedded RB3 Gen 2 / QCS6490 / AI Hub | Qwen3-TTS 0.6B CustomVoice | COMPONENT_VOCODER_PROFILE_ONLY; NOT_E2E_PROFILEABLE | The historical TFLite vocoder profile re-fetched with 100 samples at nearest-rank p50/p95 3.143/3.189 s and 403 CPU plus 335 GPU execution-detail rows. Its estimated-time field 3.107 s is the minimum, not median. Fresh same-fixture inference/profile was pending, so numerical quality is unknown. The historical NPU talker build was rejected for floating-point inputs; no full model pipeline exists. | Retrieve fresh vocoder output and placement, establish a quality-passing integer talker artifact, then validate complete local execution, memory and sustained behavior; [vocoder evidence](../../../e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/README.md). | | Embedded RB3 Gen 2 / QCS6490 / AI Hub | Qwen3.8-27B | NOT_E2E_PROFILEABLE | No complete qualified target artifact and device-local stateful Omni backend. Hub jobs provide component execution, not an on-device generation/streaming controller; ADB has no attached device. | Supply and validate the missing matching artifact/backend, then run the complete specified workload. | | Embedded RB3 Gen 2 / QCS6490 / AI Hub | MiniCPM-o 4.5 | NOT_E2E_PROFILEABLE | No complete qualified target artifact and device-local stateful Omni backend. Hub jobs provide component execution, not an on-device generation/streaming controller; ADB has no attached device. | Supply and validate the missing matching artifact/backend, then run the complete specified workload. | | Embedded RB3 Gen 2 / QCS6490 / AI Hub | InternVLA-A1 | NOT_E2E_PROFILEABLE | No complete qualified target artifact and device-local stateful Omni backend. Hub jobs provide component execution, not an on-device generation/streaming controller; ADB has no attached device. | Supply and validate the missing matching artifact/backend, then run the complete specified workload. | diff --git a/docs/design/omni_edge_e2e_roadmap.md b/docs/design/omni_edge_e2e_roadmap.md index 58001504d..6740efaa0 100644 --- a/docs/design/omni_edge_e2e_roadmap.md +++ b/docs/design/omni_edge_e2e_roadmap.md @@ -15,6 +15,8 @@ remain open; the 2026-09-22 audit remains the historical baseline. The [Spark hosted Qualcomm component expansion](../../benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/spark_s24_full_attention/README.md) advances M1 only to one real fixed-shape decoder attention layer. The same W8A16 QNN DLC ran on S24, Snapdragon X Elite CRD and SA8775P ADP NPUs with identical outputs on one pinned fixture; S25 had prior separate component evidence. On [RB3 Gen 2](../../benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/spark_rb3_full_attention/README.md), the tested W8A16 graph failed QNN loading even after an exact-device compile. FP32 ONNX ran on CPU with near-source parity, while calibrated W8A8 ran on NPU but had 20.9% hidden-state relative L2 and remains numerically unqualified. These are component C results, not full M1: device-local 28-layer prefill/continuous decode, KV/ring, sampling, token quality, admission/cancellation, complete-request timing and sustained power/thermal gates remain open. AI Hub is the test facility, not a deployment dependency. +The [Qwen3-TTS Code2Wav Qualcomm follow-up](../../benchmarks/edge_harness/results/e2e_expansion_20260924/evidence/qwen_tts_vocoder_qualcomm/README.md) adds a retained same-fixture numerical check to M2. A fresh SA8775P GPU-requested output saturated 96.63% of samples and differs from original ONNX CPU by 11.832 relative L2, so the tested vocoder target fails the numerical gate despite historical component profiling. Historical SA8775P and RB3 vocoder profiles have mixed CPU/GPU placement; their estimated-time fields were minima. X Elite ONNX compile passed, while RB3/X Elite runtime and SA control jobs remained pending at this snapshot. M2 still requires a quality-passing talker/predictor/vocoder set, device-local co-residency and handoff, playable streaming and sustained memory/power validation. + The [WSL CPU expansion](../../benchmarks/edge_harness/results/e2e_expansion_20260923/README.md) adds constrained three-stage MiniCPM-o text-to-speech requests and a CPU-only InternVLA synthetic policy forward. A subsequent 20-request serial MiniCPM-o