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[None][chore] AutoDeploy add multi stream moe pass to default.yaml #9430

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Merged
suyoggupta merged 4 commits into from
Nov 25, 2025
Merged

[None][chore] AutoDeploy add multi stream moe pass to default.yaml #9430

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12a217d
add multi stream moe pass to default.yaml
suyoggupta Nov 25, 2025
e486bb8
enable multi-stream moe in acc test
suyoggupta Nov 25, 2025
706dc64
enable multi-stream moe in acc test
suyoggupta Nov 25, 2025
9363f43
Merge branch 'main' into sg/hot-fix
suyoggupta Nov 25, 2025
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3 changes: 3 additions & 0 deletions tensorrt_llm/_torch/auto_deploy/config/default.yaml
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Expand Up @@ -163,6 +163,9 @@ transforms:
############################################################################################
fuse_causal_conv_activation:
stage: compile
multi_stream_moe:
stage: compile
enabled: false
compile_model:
stage: compile
run_per_gm: false
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7 changes: 7 additions & 0 deletions tests/integration/defs/accuracy/test_llm_api_autodeploy.py
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Expand Up @@ -181,6 +181,10 @@ def get_default_kwargs(self):
"sharding_source": ['factory', 'heuristic'],
"sharding_dims": ['ep', 'bmm'],
},
"multi_stream_moe": {
"stage": "compile",
"enabled": True,
},
# NOTE: some accuracy benchmarks may require fp32 precision for mamba cache
# "insert_cached_ssm_attention": {
# "cache_config": {
Expand All @@ -201,6 +205,9 @@ def get_default_sampling_params(self):
@pytest.mark.skip_less_device_memory(32000)
def test_bf16(self):
kwargs = self.get_default_kwargs()
# TODO: multi-stream MOE seems to increase the memory usage
kwargs["max_batch_size"] = 32
kwargs["free_mem_ratio"] = 0.5
sampling_params = self.get_default_sampling_params()
with AutoDeployLLM(model=self.MODEL_PATH_BF16,
tokenizer=self.MODEL_PATH_BF16,
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