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Merged
merrymercy merged 9 commits into from
Dec 9, 2024
Merged

Add a unittest for fused_moe #2416

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5e20c98
add fused moe unittest
BBuf Dec 9, 2024
96028ca
refine
BBuf Dec 9, 2024
37cae67
refine
BBuf Dec 9, 2024
dad0e98
Merge branch 'sgl-project:main' into main
BBuf Dec 9, 2024
defd24f
refine
BBuf Dec 9, 2024
f9556d1
Merge branch 'main' of github.com:BBuf/sglang
BBuf Dec 9, 2024
89174c8
lint
BBuf Dec 9, 2024
bbf8de5
lint
BBuf Dec 9, 2024
cd361a6
Update test/srt/run_suite.py
merrymercy Dec 9, 2024
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8 changes: 6 additions & 2 deletions benchmark/kernels/fused_moe_triton/README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -10,7 +10,7 @@ Example usage:
```bash
# Tune Qwen2-57B with FP8 and TP=4
python benchmark/kernels/fused_moe_triton/tuning_fused_moe_triton.py \
--model Qwen/Qwen2-57B-A14B-Instruct-FP8 \
--model Qwen/Qwen2-57B-A14B-Instruct \
--tp-size 4 \
--dtype fp8_w8a8 \
--tune
Expand All @@ -34,7 +34,7 @@ python benchmark/kernels/fused_moe_triton/benchmark_vllm_vs_sglang_fused_moe_tri

# Compare with FP8 mode for Qwen2-57B
python benchmark/kernels/fused_moe_triton/benchmark_vllm_vs_sglang_fused_moe_triton.py \
--model Qwen/Qwen2-57B-A14B-Instruct-FP8 \
--model Qwen/Qwen2-57B-A14B-Instruct \
--use-fp8

# Compare with custom TP size
Expand All @@ -43,3 +43,7 @@ python benchmark/kernels/fused_moe_triton/benchmark_vllm_vs_sglang_fused_moe_tri
```

The benchmark results will be saved as plots and data files in the specified output directory (default: `./configs/benchmark_ops/vllm_sglang_fused_moe/`).

- `benchmark_torch_compile_fused_moe.py`: A tool for benchmarking the performance of the fused MoE kernel with `torch.compile` and original fused MoE kernel.

Usage is the same as `benchmark_vllm_vs_sglang_fused_moe_triton.py`.
146 changes: 146 additions & 0 deletions ...ng/srt/layers/fused_moe_triton/configs/E=64,N=1280,device_name=NVIDIA_A800-SXM4-80GB.json
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@@ -0,0 +1,146 @@
{
"1": {
"BLOCK_SIZE_M": 16,
"BLOCK_SIZE_N": 32,
"BLOCK_SIZE_K": 64,
"GROUP_SIZE_M": 16,
"num_warps": 4,
"num_stages": 5
},
"2": {
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"BLOCK_SIZE_N": 128,
"BLOCK_SIZE_K": 64,
"GROUP_SIZE_M": 64,
"num_warps": 8,
"num_stages": 5
},
"4": {
"BLOCK_SIZE_M": 16,
"BLOCK_SIZE_N": 64,
"BLOCK_SIZE_K": 64,
"GROUP_SIZE_M": 16,
"num_warps": 4,
"num_stages": 4
},
"8": {
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"BLOCK_SIZE_K": 128,
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},
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"BLOCK_SIZE_N": 64,
"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 64,
"num_warps": 4,
"num_stages": 3
},
"24": {
"BLOCK_SIZE_M": 32,
"BLOCK_SIZE_N": 128,
"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 1,
"num_warps": 4,
"num_stages": 3
},
"32": {
"BLOCK_SIZE_M": 16,
"BLOCK_SIZE_N": 128,
"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 1,
"num_warps": 4,
"num_stages": 3
},
"48": {
"BLOCK_SIZE_M": 16,
"BLOCK_SIZE_N": 128,
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"GROUP_SIZE_M": 1,
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"64": {
"BLOCK_SIZE_M": 16,
"BLOCK_SIZE_N": 128,
"BLOCK_SIZE_K": 256,
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},
"96": {
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},
"128": {
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"GROUP_SIZE_M": 1,
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},
"256": {
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"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 1,
"num_warps": 8,
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},
"512": {
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},
"1024": {
"BLOCK_SIZE_M": 64,
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},
"1536": {
"BLOCK_SIZE_M": 128,
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},
"2048": {
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"3072": {
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}
}
146 changes: 146 additions & 0 deletions ...ang/srt/layers/fused_moe_triton/configs/E=64,N=640,device_name=NVIDIA_A800-SXM4-80GB.json
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@@ -0,0 +1,146 @@
{
"1": {
"BLOCK_SIZE_M": 16,
"BLOCK_SIZE_N": 64,
"BLOCK_SIZE_K": 64,
"GROUP_SIZE_M": 16,
"num_warps": 4,
"num_stages": 4
},
"2": {
"BLOCK_SIZE_M": 32,
"BLOCK_SIZE_N": 128,
"BLOCK_SIZE_K": 64,
"GROUP_SIZE_M": 1,
"num_warps": 4,
"num_stages": 5
},
"4": {
"BLOCK_SIZE_M": 16,
"BLOCK_SIZE_N": 32,
"BLOCK_SIZE_K": 64,
"GROUP_SIZE_M": 16,
"num_warps": 4,
"num_stages": 4
},
"8": {
"BLOCK_SIZE_M": 16,
"BLOCK_SIZE_N": 128,
"BLOCK_SIZE_K": 64,
"GROUP_SIZE_M": 1,
"num_warps": 8,
"num_stages": 5
},
"16": {
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"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 16,
"num_warps": 4,
"num_stages": 2
},
"24": {
"BLOCK_SIZE_M": 16,
"BLOCK_SIZE_N": 64,
"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 1,
"num_warps": 4,
"num_stages": 5
},
"32": {
"BLOCK_SIZE_M": 32,
"BLOCK_SIZE_N": 128,
"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 1,
"num_warps": 4,
"num_stages": 3
},
"48": {
"BLOCK_SIZE_M": 32,
"BLOCK_SIZE_N": 128,
"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 1,
"num_warps": 4,
"num_stages": 3
},
"64": {
"BLOCK_SIZE_M": 16,
"BLOCK_SIZE_N": 128,
"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 1,
"num_warps": 4,
"num_stages": 3
},
"96": {
"BLOCK_SIZE_M": 32,
"BLOCK_SIZE_N": 128,
"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 1,
"num_warps": 4,
"num_stages": 3
},
"128": {
"BLOCK_SIZE_M": 32,
"BLOCK_SIZE_N": 128,
"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 1,
"num_warps": 4,
"num_stages": 3
},
"256": {
"BLOCK_SIZE_M": 64,
"BLOCK_SIZE_N": 256,
"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 1,
"num_warps": 8,
"num_stages": 3
},
"512": {
"BLOCK_SIZE_M": 64,
"BLOCK_SIZE_N": 256,
"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 1,
"num_warps": 8,
"num_stages": 3
},
"1024": {
"BLOCK_SIZE_M": 64,
"BLOCK_SIZE_N": 128,
"BLOCK_SIZE_K": 64,
"GROUP_SIZE_M": 1,
"num_warps": 4,
"num_stages": 4
},
"1536": {
"BLOCK_SIZE_M": 128,
"BLOCK_SIZE_N": 256,
"BLOCK_SIZE_K": 64,
"GROUP_SIZE_M": 32,
"num_warps": 8,
"num_stages": 3
},
"2048": {
"BLOCK_SIZE_M": 128,
"BLOCK_SIZE_N": 128,
"BLOCK_SIZE_K": 64,
"GROUP_SIZE_M": 1,
"num_warps": 4,
"num_stages": 3
},
"3072": {
"BLOCK_SIZE_M": 128,
"BLOCK_SIZE_N": 128,
"BLOCK_SIZE_K": 64,
"GROUP_SIZE_M": 32,
"num_warps": 4,
"num_stages": 3
},
"4096": {
"BLOCK_SIZE_M": 128,
"BLOCK_SIZE_N": 128,
"BLOCK_SIZE_K": 64,
"GROUP_SIZE_M": 1,
"num_warps": 4,
"num_stages": 3
}
}
1 change: 1 addition & 0 deletions test/srt/run_suite.py
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Original file line number Diff line number Diff line change
Expand Up @@ -15,6 +15,7 @@
"test_double_sparsity.py",
"test_embedding_openai_server.py",
"test_eval_accuracy_mini.py",
"test_fused_moe.py",
"test_get_weights_by_name.py",
"test_gguf.py",
"test_input_embeddings.py",
Expand Down
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