Delete sgl-kernel AOT router GEMM and fused A GEMM - #30280
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Fridge003
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Please fix the conflict with lora @b8zhong |
…uter-fused-a-gemm # Conflicts: # python/sglang/srt/models/deepseek_v2.py
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/rerun-failed-ci |
…uter-fused-a-gemm # Conflicts: # sgl-kernel/CMakeLists.txt # sgl-kernel/python/sgl_kernel/__init__.py
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/rerun-failed-ci |
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/rerun-failed-ci |
Keep the inline dtype/shape/SM eligibility and batch-size/LoRA checks at each call site instead of routing through the new fused_a_gemm_weight_eligible/linear_with_fused_a_gemm helpers, while keeping the AOT sgl_kernel removal.
…uter-fused-a-gemm # Conflicts: # python/sglang/jit_kernel/fused_a_gemm.py # python/sglang/srt/models/nemotron_h.py
…uter-fused-a-gemm # Conflicts: # sgl-kernel/csrc/common_extension_musa.cc
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…uter-fused-a-gemm # Conflicts: # sgl-kernel/CMakeLists.txt # sgl-kernel/include/sgl_kernel_ops.h # sgl-kernel/python/sgl_kernel/__init__.py # sgl-kernel/python/sgl_kernel/gemm.py # sgl-kernel/setup_musa.py
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Co-authored-by: Brayden Zhong <brayden@radixark.ai> Co-authored-by: root <root@sgl-b300-inference.datacrunch.io>
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Co-authored-by: Brayden Zhong <brayden@radixark.ai> Co-authored-by: root <root@sgl-b300-inference.datacrunch.io>
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Co-authored-by: Brayden Zhong <brayden@radixark.ai> Co-authored-by: root <root@sgl-b300-inference.datacrunch.io>
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Co-authored-by: Brayden Zhong <brayden@radixark.ai> Co-authored-by: root <root@sgl-b300-inference.datacrunch.io>
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