Update benchmark scripts #8
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timethink
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* Use fused_experts_cpu and add weight packing * add check on whether AMX is supported * move utils to cpu_utils.py * address comment * no need to pass in is_vnni since it's True by default; change inplace to True * refactor prepack_weight_if_needed * Only import sgl_kernel.cpu once
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* Use fused_experts_cpu and add weight packing * add check on whether AMX is supported * move utils to cpu_utils.py * address comment * no need to pass in is_vnni since it's True by default; change inplace to True * refactor prepack_weight_if_needed * Only import sgl_kernel.cpu once
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* Use fused_experts_cpu and add weight packing * add check on whether AMX is supported * move utils to cpu_utils.py * address comment * no need to pass in is_vnni since it's True by default; change inplace to True * refactor prepack_weight_if_needed * Only import sgl_kernel.cpu once
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* Use fused_experts_cpu and add weight packing * add check on whether AMX is supported * move utils to cpu_utils.py * address comment * no need to pass in is_vnni since it's True by default; change inplace to True * refactor prepack_weight_if_needed * Only import sgl_kernel.cpu once
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support fp8 dispatch
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* Use fused_experts_cpu and add weight packing * add check on whether AMX is supported * move utils to cpu_utils.py * address comment * no need to pass in is_vnni since it's True by default; change inplace to True * refactor prepack_weight_if_needed * Only import sgl_kernel.cpu once
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* Use fused_experts_cpu and add weight packing * add check on whether AMX is supported * move utils to cpu_utils.py * address comment * no need to pass in is_vnni since it's True by default; change inplace to True * refactor prepack_weight_if_needed * Only import sgl_kernel.cpu once
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* Use fused_experts_cpu and add weight packing * add check on whether AMX is supported * move utils to cpu_utils.py * address comment * no need to pass in is_vnni since it's True by default; change inplace to True * refactor prepack_weight_if_needed * Only import sgl_kernel.cpu once
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* Use fused_experts_cpu and add weight packing * add check on whether AMX is supported * move utils to cpu_utils.py * address comment * no need to pass in is_vnni since it's True by default; change inplace to True * refactor prepack_weight_if_needed * Only import sgl_kernel.cpu once
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pi314ever
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…ject#8) Signed-off-by: Rahul Vijayaraghavan <[email protected]>
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siuhunh
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npu matmul weight nz
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yichiche
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* align shapes Signed-off-by: Ivan Butygin <[email protected]> * fix Signed-off-by: Ivan Butygin <[email protected]> --------- Signed-off-by: Ivan Butygin <[email protected]>
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* align shapes Signed-off-by: Ivan Butygin <[email protected]> * fix Signed-off-by: Ivan Butygin <[email protected]> --------- Signed-off-by: Ivan Butygin <[email protected]>
yichiche
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* align shapes Signed-off-by: Ivan Butygin <[email protected]> * fix Signed-off-by: Ivan Butygin <[email protected]> --------- Signed-off-by: Ivan Butygin <[email protected]>
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Xia-Weiwen
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Sep 5, 2025
* set a higher timeout threshold to prevent forced terminated * disable rope kernel to address the accuracy regression in llama
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amd-youchen
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Nov 13, 2025
add pd disaggregation best practices
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