BeatSeatandYueqian Lin
28ce618f0e
Signed-off-by: BeatSeat <wendavid552@gmail.com> Signed-off-by: Yueqian Lin <70319226+linyueqian@users.noreply.github.com> Co-authored-by: Yueqian Lin <70319226+linyueqian@users.noreply.github.com>
84 lines
2.6 KiB
YAML
84 lines
2.6 KiB
YAML
# GLM-TTS deploy: 2-stage AR -> DiT flow-matching.
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#
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# Default mode is async-chunk streaming through SharedMemoryConnector.
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# Stage 0 (AR LLM) streams speech token chunks to Stage 1 (DiT + vocoder)
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# via the shared-memory connector. Stage 1 runs as LLM_GENERATION type
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# to support chunk_transfer_adapter consumption.
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#
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# Stage 1 keeps vLLM eager scheduling but enables the GLM-TTS bucketed DiT
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# CUDA graph wrapper via hf_overrides.use_dit_cuda_graphs. Graph capture falls
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# back to eager if a dynamic shape exceeds the captured buckets.
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#
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# Verified on 1x A40 48GB (both stages share GPU 0).
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# Memory footprint ~16.6 GiB peak; fits 24GB cards with the settings below.
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async_chunk: true
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trust_remote_code: true
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connectors:
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glm_tts_shm:
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name: SharedMemoryConnector
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extra:
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codec_streaming: true
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connector_get_sleep_s: 0.002
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connector_get_max_wait_first_chunk: 3000
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connector_get_max_wait: 300
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# Progressive chunk sizes matching original GLM-TTS defaults.
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codec_chunk_frames: [25, 50, 200]
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codec_left_context_frames: 25
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crossfade_sec: 0.1
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stages:
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- stage_id: 0
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max_num_seqs: 1
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gpu_memory_utilization: 0.55
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# BF16 for AR decode: memory-bandwidth bound on single-batch decode,
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# bf16 halves HBM reads per step (~1.7x throughput on L4/A40).
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dtype: bfloat16
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enforce_eager: false
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async_scheduling: true
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enable_prefix_caching: false
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max_num_batched_tokens: 512
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max_model_len: 2048
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devices: "0"
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output_connectors:
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to_stage_1: glm_tts_shm
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default_sampling_params:
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temperature: 1.0
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top_k: 25
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top_p: 0.8
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max_tokens: 2048
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min_tokens: 1
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seed: 42
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detokenize: false
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hf_overrides:
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sample_method: ras
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ras_top_p: 0.8
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ras_top_k: 25
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ras_win_size: 10
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ras_tau_r: 0.1
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min_token_text_ratio: 2.0
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max_token_text_ratio: 20.0
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skip_mm_profiling: true
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- stage_id: 1
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max_num_seqs: 1
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gpu_memory_utilization: 0.25
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enforce_eager: true
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max_model_len: 8192
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max_num_batched_tokens: 2048
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# Force float32 for the flow-matching DiT stage. The Euler ODE solver
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# (10 steps × 2 forward passes each) accumulates rounding errors in half
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# precision that manifest as audible hiss on H20/H100. float32 matches
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# the reference implementation and eliminates the noise floor.
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dtype: float32
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devices: "0"
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enable_prefix_caching: false
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input_connectors:
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from_stage_0: glm_tts_shm
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default_sampling_params:
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max_tokens: 2048
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hf_overrides:
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use_dit_cuda_graphs: true
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disable_hybrid_kv_cache_manager: true
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skip_mm_profiling: true
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