[Kernel] Tuned int8 kernels for Ada Lovelace #6848
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PFA a heatmap generated from the Gemm-Shape vs Cutlass-Op sweep done on an L40S.
Pointers on how to read the heatmap: Annotations: Cutlass Op naming convention: autogen_cutlass2x_scaled_mm_dq_sm89_128x64x128_64x64x64_16x8x32_ThreadBlockSwizzleStrreamK_kGemmSplitKParallel_5_OpMultiplyAddFastAccum_i8 refers to an Op constructed with, Tile Shape : 128x64x128 |
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This PR builds on top of #6677 [edit] That PR has landed |
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* upstream/main: (66 commits) [Bugfix] Fix PaliGemma MMP (vllm-project#6930) [TPU] Fix greedy decoding (vllm-project#6933) [Kernel] Tuned int8 kernels for Ada Lovelace (vllm-project#6848) [Kernel] Fix marlin divide-by-zero warnings (vllm-project#6904) [ci] GHA workflow to remove ready label upon "/notready" comment (vllm-project#6921) [Kernel] Remove unused variables in awq/gemm_kernels.cu (vllm-project#6908) [Frontend] New `allowed_token_ids` decoding request parameter (vllm-project#6753) [Bugfix] Allow vllm to still work if triton is not installed. (vllm-project#6786) [TPU] Support tensor parallelism in async llm engine (vllm-project#6891) [Kernel] Fix deprecation function warnings squeezellm quant_cuda_kernel (vllm-project#6901) [Core] Reduce unnecessary compute when logprobs=None (vllm-project#6532) [Kernel] Tuned FP8 Kernels for Ada Lovelace (vllm-project#6677) [Model] Initialize support for InternVL2 series models (vllm-project#6514) [Misc] Pass cutlass_fp8_supported correctly in fbgemm_fp8 (vllm-project#6871) Add Nemotron to PP_SUPPORTED_MODELS (vllm-project#6863) [Kernel] Increase precision of GPTQ/AWQ Marlin kernel (vllm-project#6795) [TPU] Reduce compilation time & Upgrade PyTorch XLA version (vllm-project#6856) [Docs] Add RunLLM chat widget (vllm-project#6857) [Model] Initial support for BLIP-2 (vllm-project#5920) [CI/Build][Doc] Update CI and Doc for VLM example changes (vllm-project#6860) ...
Co-authored-by: Varun Sundar Rabindranath <[email protected]>
Co-authored-by: Varun Sundar Rabindranath <[email protected]> Signed-off-by: Alvant <[email protected]>
Add tuned Int8 kernels for Ada Lovelace
Numbers:
GPU : L40S x 1
Command :
python3 benchmarks/cutlass_benchmarks/w8a8_benchmarks.py --dtype int8 model_bench --batch-size {1,16,32,64,128,256,512}<style type="text/css"></style>
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