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single marlin test should still be disabled
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@ElizaWszola
ElizaWszola committed Jun 27, 2024
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5 changes: 5 additions & 0 deletions tests/kernels/test_moe.py
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Expand Up @@ -224,6 +224,11 @@ def test_fused_marlin_moe(
assert (compute_max_diff(marlin_output, triton_output) < 4e-2)


# UPSTREAM SYNC: breaks NM automation.
@pytest.mark.skip("C compiler not installed in NM automation. "
"This codepath follows a triton pathway, which "
"JITs using clang or gcc. Since neither are installed "
"in our test instances, we need to skip this for now.")
@pytest.mark.parametrize("m", [64, 512, 222, 33, 1])
@pytest.mark.parametrize("n", [128, 2048, 256, 1024])
@pytest.mark.parametrize("k", [128, 1024, 512])
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Benchmark suite Current: c676bea Previous: 4ab3b8a Ratio
{"name": "request_throughput", "description": "VLLM Engine throughput - synthetic\nmodel - NousResearch/Llama-2-7b-chat-hf\nmax_model_len - 4096\nbenchmark_throughput {\n \"use-all-available-gpus_\": \"\",\n \"input-len\": 256,\n \"output-len\": 128,\n \"num-prompts\": 1000\n}", "gpu_description": "NVIDIA L4 x 1", "vllm_version": "0.5.0", "python_version": "3.9.17 (main, Jun 7 2023, 12:34:12) \n[GCC 11.3.0]", "torch_version": "2.3.0+cu121"} 2.456257992151455 prompts/s
{"name": "token_throughput", "description": "VLLM Engine throughput - synthetic\nmodel - NousResearch/Llama-2-7b-chat-hf\nmax_model_len - 4096\nbenchmark_throughput {\n \"use-all-available-gpus_\": \"\",\n \"input-len\": 256,\n \"output-len\": 128,\n \"num-prompts\": 1000\n}", "gpu_description": "NVIDIA L4 x 1", "vllm_version": "0.5.0", "python_version": "3.9.17 (main, Jun 7 2023, 12:34:12) \n[GCC 11.3.0]", "torch_version": "2.3.0+cu121"} 943.2030689861588 tokens/s

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bigger_is_better

Benchmark suite Current: c676bea Previous: 4ab3b8a Ratio
{"name": "request_throughput", "description": "VLLM Engine throughput - synthetic\nmodel - NousResearch/Llama-2-7b-chat-hf\nmax_model_len - 4096\nbenchmark_throughput {\n \"use-all-available-gpus_\": \"\",\n \"input-len\": 256,\n \"output-len\": 128,\n \"num-prompts\": 1000\n}", "gpu_description": "NVIDIA L4 x 1", "vllm_version": "0.5.0", "python_version": "3.10.12 (main, Jun 7 2023, 13:43:11) [GCC 11.3.0]", "torch_version": "2.3.0+cu121"} 2.4171117457681204 prompts/s
{"name": "token_throughput", "description": "VLLM Engine throughput - synthetic\nmodel - NousResearch/Llama-2-7b-chat-hf\nmax_model_len - 4096\nbenchmark_throughput {\n \"use-all-available-gpus_\": \"\",\n \"input-len\": 256,\n \"output-len\": 128,\n \"num-prompts\": 1000\n}", "gpu_description": "NVIDIA L4 x 1", "vllm_version": "0.5.0", "python_version": "3.10.12 (main, Jun 7 2023, 13:43:11) [GCC 11.3.0]", "torch_version": "2.3.0+cu121"} 928.1709103749582 tokens/s

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Benchmark suite Current: c676bea Previous: 4ab3b8a Ratio
{"name": "request_throughput", "description": "VLLM Engine throughput - synthetic\nmodel - NousResearch/Llama-2-7b-chat-hf\nmax_model_len - 4096\nbenchmark_throughput {\n \"use-all-available-gpus_\": \"\",\n \"input-len\": 256,\n \"output-len\": 128,\n \"num-prompts\": 1000\n}", "gpu_description": "NVIDIA L4 x 1", "vllm_version": "0.5.0", "python_version": "3.11.4 (main, Jun 7 2023, 11:01:02) [GCC 11.3.0]", "torch_version": "2.3.0+cu121"} 2.4540770421272513 prompts/s
{"name": "token_throughput", "description": "VLLM Engine throughput - synthetic\nmodel - NousResearch/Llama-2-7b-chat-hf\nmax_model_len - 4096\nbenchmark_throughput {\n \"use-all-available-gpus_\": \"\",\n \"input-len\": 256,\n \"output-len\": 128,\n \"num-prompts\": 1000\n}", "gpu_description": "NVIDIA L4 x 1", "vllm_version": "0.5.0", "python_version": "3.11.4 (main, Jun 7 2023, 11:01:02) [GCC 11.3.0]", "torch_version": "2.3.0+cu121"} 942.3655841768644 tokens/s

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Benchmark suite Current: c676bea Previous: 4ab3b8a Ratio
{"name": "request_throughput", "description": "VLLM Engine throughput - synthetic\nmodel - NousResearch/Llama-2-7b-chat-hf\nmax_model_len - 4096\nbenchmark_throughput {\n \"use-all-available-gpus_\": \"\",\n \"input-len\": 256,\n \"output-len\": 128,\n \"num-prompts\": 1000\n}", "gpu_description": "NVIDIA L4 x 1", "vllm_version": "0.5.0", "python_version": "3.8.17 (default, Jun 7 2023, 12:29:56) \n[GCC 11.3.0]", "torch_version": "2.3.0+cu121"} 2.4425667625647236 prompts/s
{"name": "token_throughput", "description": "VLLM Engine throughput - synthetic\nmodel - NousResearch/Llama-2-7b-chat-hf\nmax_model_len - 4096\nbenchmark_throughput {\n \"use-all-available-gpus_\": \"\",\n \"input-len\": 256,\n \"output-len\": 128,\n \"num-prompts\": 1000\n}", "gpu_description": "NVIDIA L4 x 1", "vllm_version": "0.5.0", "python_version": "3.8.17 (default, Jun 7 2023, 12:29:56) \n[GCC 11.3.0]", "torch_version": "2.3.0+cu121"} 937.9456368248539 tokens/s

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