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[Kernel] Turn off CUTLASS scaled_mm for Ada Lovelace (#6384)
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@ -1,11 +1,11 @@
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# bash .buildkite/lm-eval-harness/run-lm-eval-gsm-vllm-baseline.sh -m nm-testing/Meta-Llama-3-8B-FP8-compressed-tensors-test -b 32 -l 250 -f 5 -t 1
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# bash .buildkite/lm-eval-harness/run-lm-eval-gsm-vllm-baseline.sh -m nm-testing/Meta-Llama-3-8B-FP8-compressed-tensors-test -b 32 -l 1000 -f 5 -t 1
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model_name: "nm-testing/Meta-Llama-3-8B-FP8-compressed-tensors-test"
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tasks:
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- name: "gsm8k"
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metrics:
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- name: "exact_match,strict-match"
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value: 0.752
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value: 0.755
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- name: "exact_match,flexible-extract"
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value: 0.752
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limit: 250
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value: 0.755
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limit: 1000
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num_fewshot: 5
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@ -4,8 +4,8 @@ tasks:
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- name: "gsm8k"
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metrics:
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- name: "exact_match,strict-match"
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value: 0.756
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value: 0.753
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- name: "exact_match,flexible-extract"
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value: 0.752
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limit: 250
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value: 0.753
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limit: 1000
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num_fewshot: 5
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@ -38,7 +38,13 @@ bool cutlass_scaled_mm_supports_fp8(int64_t cuda_device_capability) {
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if (cuda_device_capability >= 90) {
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return CUDA_VERSION >= 12000;
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} else if (cuda_device_capability >= 89) {
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return CUDA_VERSION >= 12040;
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// CUTLASS Kernels have not been tuned for Ada Lovelace systems
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// and are slower than torch.mm. Return false unconditionally in this case.
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return false;
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// Once the CUTLASS kernels have been optimized for Lovelace systems,
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// use the following check:
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// return CUDA_VERSION >= 12040;
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}
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#endif
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@ -98,4 +104,4 @@ void cutlass_scaled_mm(torch::Tensor& c, torch::Tensor const& a,
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TORCH_CHECK(version_num >= 75);
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cutlass_scaled_mm_sm75(c, a, b, a_scales, b_scales, bias);
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}
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}
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}
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