fzyzcjy e85cb1ce9d Fix quant kernel test errors and benchmark wrong output speeds (#7604)

2025-08-21 03:48:41 -07:00

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bench_activation.py

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bench_awq_dequant.py

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bench_cutlass_mla.py

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bench_dsv3_fused_a_gemm.py

Add dsv3 fused a gemm to sgl-kernel (#7630)

2025-06-29 02:52:24 -07:00

bench_dsv3_router_gemm.py

[Kimi K2] dsv3_router_gemm supports NUM_EXPERTS == 384 (#8013)

2025-08-01 22:01:24 +08:00

bench_fp4_gemm.py

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bench_fp8_blockwise_gemm.py

refactor apply_w8a8_block_fp8_linear in fp (#6545)

2025-05-29 00:15:11 -07:00

bench_fp8_blockwise_group_gemm.py

fix benchmark fp8 blockwise group gemm (#8815)

2025-08-06 21:02:21 +08:00

bench_fp8_gemm.py

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bench_int8_gemm.py

Add shapes for int8 gemm benchmark (#3093)

2025-01-24 12:27:30 +08:00

bench_lightning_attention_decode.py

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bench_moe_align_block_size.py

update sgl-kernel for EP: kernel part (#8514)

2025-07-30 22:19:55 -07:00

bench_moe_ep_post_reorder.py

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bench_moe_ep_pre_reorder.py

fix ep_moe_reorder kernel bugs (#6858)

2025-06-04 19:13:59 +08:00

bench_moe_fused_gate.py

[fix] benchmark : routed_scaling_factor is None (#8059)

2025-07-22 08:55:35 -07:00

bench_moe_silu_and_mul.py

[sgl-kernel] Add cuda kernel for moe_ep_silu_and_mul (#6919)

2025-06-11 20:43:08 -07:00

bench_moe_topk_softmax.py

[optimize] fuse renormalize into moe_topk_softmax (#7744)

2025-07-03 12:42:44 -07:00

bench_nvfp4_scaled_gemm.py

Add nvfp4 scaled mm benchmark. (#8401)

2025-07-26 23:18:04 -07:00

bench_per_tensor_quant_fp8.py

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bench_per_token_group_quant_8bit.py

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bench_per_token_quant_fp8.py

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bench_qserve_w4a8_gemm.py

[1/2] Support Qserve (#6457)

2025-05-21 19:48:59 -07:00

bench_rotary_embedding.py

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bench_top_k_top_p_sampling.py

[sgl-kernel] Support FlashInfer top_k_top_p_sampling_from_logits (#9060)

2025-08-14 10:56:36 -07:00