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vllm-omni/vllm_omni/model_executor/models/cosyvoice3/pipeline.py
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2026-07-18 09:21:07 +00:00

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Python

# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""CosyVoice3 pipeline topology (frozen).
Stage 0: Talker — text prompt → speech tokens (LLM autoregressive).
Stage 1: Code2Wav — flow-matching decoder → acoustic features → waveform.
* ``sync_process_input_func`` (``text2flow_token_only``) runs when
``deploy.async_chunk=false``: stage 1 allocates placeholder slots while
bulk tensors arrive via ``text2flow_full_payload`` on the connector.
* ``async_chunk_process_next_stage_input_func`` runs when
``deploy.async_chunk=true``: stage 0 streams codec chunks to stage 1
through the shared-memory connector.
"""
from vllm_omni.config.stage_config import (
PipelineConfig,
StageExecutionType,
StagePipelineConfig,
)
_PROC = "vllm_omni.model_executor.stage_input_processors.cosyvoice3"
COSYVOICE3_PIPELINE = PipelineConfig(
model_type="cosyvoice3",
default_deploy_config_name="cosyvoice3.yaml",
model_arch="CosyVoice3Model",
stages=(
StagePipelineConfig(
stage_id=0,
model_stage="cosyvoice3_talker",
execution_type=StageExecutionType.LLM_AR,
input_sources=(),
owns_tokenizer=True,
engine_output_type="latent",
async_chunk_process_next_stage_input_func=(f"{_PROC}.talker2code2wav_async_chunk"),
custom_process_next_stage_input_func=f"{_PROC}.text2flow_full_payload",
sampling_constraints={
# merged speech stop token (logsumexp of all 200 stop logits)
"stop_token_ids": [6562],
},
),
StagePipelineConfig(
stage_id=1,
model_stage="cosyvoice3_code2wav",
execution_type=StageExecutionType.LLM_GENERATION,
input_sources=(0,),
final_output=True,
final_output_type="audio",
engine_output_type="latent",
sync_process_input_func=f"{_PROC}.text2flow_token_only",
),
),
)