4 people 0a65d46628 [DSV4] Fuse norm and router for low latency scenario (#41263) ...

Signed-off-by: Jee Jee Li <pandaleefree@gmail.com>
Signed-off-by: jeejeelee <jeejeelee@verda-b300-05.datacrunch.io>
Co-authored-by: jeejeelee <jeejeelee@verda-b300-05.datacrunch.io>
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>

2026-05-14 05:11:02 -07:00

..

cpu

[Torch 2.11] Guard torch._C._cpu attribute checks for forward compatibility (#35673)

2026-03-17 18:47:59 +00:00

deepgemm

Add platform manual_seed_all API (#38468)

2026-04-10 13:43:50 +08:00

ir

[vLLM IR] Add IR op testing and benchmarking infrastructure (#40167)

2026-04-21 00:23:03 +00:00

__init__.py

[vLLM IR] Add IR op testing and benchmarking infrastructure (#40167)

2026-04-21 00:23:03 +00:00

bench_concat_mla_q.py

[Attention][Perf][Kernel] Replace torch.cat with vectorized CUDA kernel MLA query concat - DeepSeek-V3.2 (#34917)

2026-03-09 09:50:36 -07:00

bench_cp_gather_fp8.py

[Attention][Perf] Optimize cp_gather_and_upconvert_fp8_kv_cache - DeepSeek-v3.2 (#35290)

2026-03-09 09:46:57 -07:00

benchmark_2d_silu_mul_fp8_quant.py

[Bugfix][CI] fix typos (#34934)

2026-03-05 17:05:46 +00:00

benchmark_activation.py

[Bugfix] Fix kernel benchmark (#33752)

2026-02-22 21:18:08 -08:00

benchmark_block_fp8_gemm.py

[W8A8 Block Linear Refactor][2/N] Remove W8A8Fp8BlockLinearOp and adopt Fp8 block linear kernel selections. (#33892)

2026-04-09 08:50:39 +08:00

benchmark_cutlass_moe_fp8.py

[MoE] Move cutlass moe to fused_moe/experts/ (#40574)

2026-04-24 06:05:49 +00:00

benchmark_cutlass_moe_nvfp4.py

[MoE] Move cutlass moe to fused_moe/experts/ (#40574)

2026-04-24 06:05:49 +00:00

benchmark_device_communicators.py

[Hardware] Replace torch.cuda.device_count/current_device/set_device API (#36145)

2026-03-12 07:57:47 -07:00

benchmark_fp8_gemm.py

[Bugfix] Fix kernel benchmark (#33752)

2026-02-22 21:18:08 -08:00

benchmark_fused_collective.py

[Bugfix] Fix benchmark_fused_collective.py (#38082)

2026-03-25 23:51:00 -07:00

benchmark_fused_topk.py

[Kernel] Add topk_sigmoid kernel (#31246)

2026-01-21 22:49:51 +00:00

benchmark_grouped_gemm_cutlass.py

[MoE] Move cutlass moe to fused_moe/experts/ (#40574)

2026-04-24 06:05:49 +00:00

benchmark_int8_gemm.py

[Bugfix] Fix kernel benchmark (#33752)

2026-02-22 21:18:08 -08:00

benchmark_layernorm.py

[Hardware] Replace torch.cuda.synchronize() api with torch.accelerator.synchronize (#36085)

2026-03-05 10:36:39 +00:00

benchmark_lora.py

[Hardware] Replace torch.cuda.synchronize() api with torch.accelerator.synchronize (#36085)

2026-03-05 10:36:39 +00:00

benchmark_machete.py

[Refactor] Rename gptq_marlin to marlin to match MoE (#32952)

2026-01-23 16:48:12 -05:00

benchmark_marlin.py

[Quantization][Deprecation] Remove Marlin 24 (#32688)

2026-01-28 15:54:59 +00:00

benchmark_mla_k_concat.py

[Hardware] Replace torch.cuda.synchronize() api with torch.accelerator.synchronize (#36085)

2026-03-05 10:36:39 +00:00

benchmark_moe_align_block_size.py

Add platform manual_seed_all API (#38468)

2026-04-10 13:43:50 +08:00

benchmark_moe_defaults.py

[Hardware] Replace torch.cuda.synchronize() api with torch.accelerator.synchronize (#36085)

2026-03-05 10:36:39 +00:00

benchmark_moe_permute_unpermute.py

[Hardware] Replace torch.cuda.synchronize() api with torch.accelerator.synchronize (#36085)

2026-03-05 10:36:39 +00:00

benchmark_moe.py

[MoE Refactor] Move remaining experts classes to experts directory (#42334)

2026-05-12 09:19:46 -04:00

benchmark_mrope.py

[Hardware] Replace torch.cuda.synchronize() api with torch.accelerator.synchronize (#36085)

2026-03-05 10:36:39 +00:00

benchmark_mxfp4_qutlass.py

[Bugfix] Fix kernel benchmark (#33752)

2026-02-22 21:18:08 -08:00

benchmark_norm_router_gemm.py

[DSV4] Fuse norm and router for low latency scenario (#41263)

2026-05-14 05:11:02 -07:00

benchmark_nvfp4_gemm.py

[Bugfix] Fix kernel benchmark (#33752)

2026-02-22 21:18:08 -08:00

benchmark_nvfp4_quant.py

[Bugfix] Fix kernel benchmark (#33752)

2026-02-22 21:18:08 -08:00

benchmark_nvfp4_qutlass.py

[Bugfix] Fix kernel benchmark (#33752)

2026-02-22 21:18:08 -08:00

benchmark_paged_attention.py

[Hardware] Replace torch.cuda.synchronize() api with torch.accelerator.synchronize (#36085)

2026-03-05 10:36:39 +00:00

benchmark_per_token_group_quant.py

[Hardware] Replace torch.cuda.synchronize() api with torch.accelerator.synchronize (#36085)

2026-03-05 10:36:39 +00:00

benchmark_per_token_quant_fp8.py

[Bugfix] Fix kernel benchmark (#33752)

2026-02-22 21:18:08 -08:00

benchmark_quant.py

[Hardware] Replace torch.cuda.synchronize() api with torch.accelerator.synchronize (#36085)

2026-03-05 10:36:39 +00:00

benchmark_reshape_and_cache_flash.py

[Hardware] Replace torch.cuda.synchronize() api with torch.accelerator.synchronize (#36085)

2026-03-05 10:36:39 +00:00

benchmark_reshape_and_cache.py

[Hardware] Replace torch.cuda.synchronize() api with torch.accelerator.synchronize (#36085)

2026-03-05 10:36:39 +00:00

benchmark_rmsnorm.py

Update Optional[x] -> x | None and Union[x, y] to x | y (#26633)

2025-10-12 09:51:31 -07:00

benchmark_rope.py

[Bugfix] Fix kernel benchmark (#33752)

2026-02-22 21:18:08 -08:00

benchmark_shapes.py

Disable nm-testing models with issues in CI (#28206)

2025-11-06 06:19:07 -08:00

benchmark_silu_mul_fp8_quant.py

[MoE] Move DEEP_GEMM into experts/ subdirectory (#39005)

2026-04-08 19:23:08 +00:00

benchmark_trtllm_decode_attention.py

[Hardware] Replace torch.cuda.synchronize() api with torch.accelerator.synchronize (#36085)

2026-03-05 10:36:39 +00:00

benchmark_trtllm_prefill_attention.py

[Hardware] Replace torch.cuda.synchronize() api with torch.accelerator.synchronize (#36085)

2026-03-05 10:36:39 +00:00

benchmark_vit_bilinear_pos_embed.py

[Perf] triton bilinear_pos_embed kernel for ViT (#37948)

2026-04-01 01:52:02 -07:00

benchmark_vit_fp8_attn.py

[Perf] FP8 FlashInfer Attn for ViT (#38065)

2026-04-27 13:44:15 +08:00

benchmark_w8a8_block_fp8.py

[Hardware] Replace torch.cuda.device_count/current_device/set_device API (#36145)

2026-03-12 07:57:47 -07:00

graph_machete_bench.py

[Chore]:Extract math and argparse utilities to separate modules (#27188)

2025-10-26 04:03:32 -07:00

requirements.txt

[Kernel] (2/N) Machete - Integrate into CompressedTensorsWNA16 and GPTQMarlin (#7701)

2024-09-23 13:46:26 -04:00

utils.py

Update Optional[x] -> x | None and Union[x, y] to x | y (#26633)

2025-10-12 09:51:31 -07:00

weight_shapes.py

[kernel] Support W4A8 on Hopper (#23198)

2025-08-24 06:18:04 +00:00