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allgatherOp.cpp
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[TRTLLM-7349][feat] Adding new orchestrator type -- ray (#7520)
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2025-10-04 08:12:24 +08:00 |
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allreduceOp.cpp
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[TRTLLM-7349][feat] Adding new orchestrator type -- ray (#7520)
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2025-10-04 08:12:24 +08:00 |
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alltoallOp.cpp
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[TRTLLM-5966][feat] Helix: add alltoall op (#6815)
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2025-09-25 07:18:29 -07:00 |
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attentionOp.cpp
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[TRTLLM-5966][feat] Helix: add custom position ids to MLA kernels (#6904)
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2025-09-19 20:55:32 +08:00 |
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attentionOp.h
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[TRTLLM-5966][feat] Helix: add custom position ids to MLA kernels (#6904)
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2025-09-19 20:55:32 +08:00 |
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causalConv1dOp.cpp
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fix: fix license bug (#5200)
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2025-06-13 18:58:15 +08:00 |
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CMakeLists.txt
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[TRTLLM-7349][feat] Adding new orchestrator type -- ray (#7520)
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2025-10-04 08:12:24 +08:00 |
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convertSpecDecodingMaskToPackedMaskOp.cpp
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Update TensorRT-LLM (#2873)
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2025-03-11 21:13:42 +08:00 |
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cublasScaledMM.cpp
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[TRTLLM-4279] fix: Add a protection test for checking trtllm custom ops (#6515)
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2025-08-01 15:59:09 +08:00 |
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cublasScaledMM.h
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Feat/ds r1 min latency opt round3, add router gemm, fused a gemm, PDL (#4560)
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2025-06-14 17:36:22 +08:00 |
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cudaScaledMM.cpp
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[NVBUG-5304516/5319741]Qwen2.5VL FP8 support (#5029)
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2025-07-09 23:16:42 +08:00 |
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customMoeRoutingOp.cpp
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[None] [feat] Enable run_post_quant_allgather for MoE TRTLLM backend (#6794)
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2025-09-23 08:24:21 +08:00 |
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cutlassScaledMM.cpp
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refactoring: port customized kernels with public cutlass version (#5027)
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2025-06-13 16:19:31 +08:00 |
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dsv3FusedAGemmOp.cpp
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Feat/ds r1 min latency opt round3, add router gemm, fused a gemm, PDL (#4560)
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2025-06-14 17:36:22 +08:00 |
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dsv3RouterGemmOp.cpp
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Feat/ds r1 min latency opt round3, add router gemm, fused a gemm, PDL (#4560)
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2025-06-14 17:36:22 +08:00 |
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dynamicDecodeOp.cpp
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Feat: Variable-Beam-Width-Search (VBWS) part3 (#3338)
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2025-04-08 23:51:27 +08:00 |
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dynamicDecodeOp.h
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Update TensorRT-LLM (#2783)
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2025-02-13 18:40:22 +08:00 |
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finegrained_mixed_dtype_gemm_thop.cpp
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W4A8 GEMM (#6005)
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2025-07-20 17:34:57 +03:00 |
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finegrained_mixed_dtype_gemm_thop.h
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W4A8 GEMM (#6005)
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2025-07-20 17:34:57 +03:00 |
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fmhaPackMaskOp.cpp
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Update TensorRT-LLM (#2873)
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2025-03-11 21:13:42 +08:00 |
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fp4BatchedQuantize.cpp
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[None] [feat] Add model gpt-oss (#6645)
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2025-08-07 03:04:18 -04:00 |
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fp4BlockScaleMoe.cpp
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[None][feat] Update TRT-LLM Gen MoE kernels (#7970)
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2025-10-03 09:22:45 +08:00 |
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fp4Gemm.cpp
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[TRTLLM-4629] [feat] Add support of CUDA13 and sm103 devices (#7568)
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2025-09-16 09:56:18 +08:00 |
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fp4GemmTrtllmGen.cpp
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[OMNIML-2336][feat] Add NVFP4 x FP8 (#6809)
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2025-09-04 09:03:38 -07:00 |
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fp4Op.cpp
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[None] [feat] Add model gpt-oss (#6645)
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2025-08-07 03:04:18 -04:00 |
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fp4Quantize.cpp
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[None][perf] Accelerate global scale calculations for deepEP fp4 combine (#7126)
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2025-08-27 00:13:13 +08:00 |
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fp4Quantize.h
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[None][perf] Accelerate global scale calculations for deepEP fp4 combine (#7126)
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2025-08-27 00:13:13 +08:00 |
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fp4xFp8GemmTrtllmGen.cpp
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[OMNIML-2336][feat] Add NVFP4 x FP8 (#6809)
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2025-09-04 09:03:38 -07:00 |
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fp8BatchedGemmTrtllmGen.cpp
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[None] [feat] Add model gpt-oss (#6645)
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2025-08-07 03:04:18 -04:00 |
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fp8BlockScaleMoe.cpp
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[https://nvbugs/5518713][fix] Trtllm-gen moe backend for blockwise fp8 ckpt (Qwen3-235B-A22B-FP8) (#7856)
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2025-09-26 14:29:32 -07:00 |
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fp8BlockScalingGemm.cpp
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[TRTLLM-4629] [feat] Add support of CUDA13 and sm103 devices (#7568)
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2025-09-16 09:56:18 +08:00 |
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fp8Op.cpp
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[None] [feat] Add model gpt-oss (#6645)
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2025-08-07 03:04:18 -04:00 |
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fp8Op.h
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[None] [feat] Add model gpt-oss (#6645)
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2025-08-07 03:04:18 -04:00 |
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fp8PerTensorScaleMoe.cpp
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[None] [feat] Enable run_post_quant_allgather for MoE TRTLLM backend (#6794)
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2025-09-23 08:24:21 +08:00 |
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fp8PerTensorScalingTrtllmGenGemm.cpp
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[TRTLLM-4629] [feat] trtllm-gen kernels support sm103 (#7570)
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2025-09-07 10:04:10 +08:00 |
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fp8Quantize.cpp
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[TRTLLM-4629] [feat] Add support of CUDA13 and sm103 devices (#7568)
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2025-09-16 09:56:18 +08:00 |
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fp8RowwiseGemm.cpp
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[TRTLLM-5812][feat] support FP8 row-wise dense GEMM in torch flow (#5615)
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2025-07-07 18:04:57 +08:00 |
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fusedQKNormRopeOp.cpp
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[None][feat] Support Yarn on Qwen3 (#6785)
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2025-08-17 07:21:29 +08:00 |
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fusedTopkSoftmax.cpp
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refactoring: port customized kernels with public cutlass version (#5027)
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2025-06-13 16:19:31 +08:00 |
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gatherTreeOp.cpp
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[TRTLLM-5171] chore: Remove GptSession/V1 from TRT workflow (#4092)
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2025-05-14 23:10:04 +02:00 |
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groupRmsNormOp.cpp
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feat: Add heuristic for GroupRMSNorm kernel selection. (#4047)
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2025-05-13 08:52:53 +08:00 |
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llama4MinLatency.cpp
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Cherry pick feat/llama4 to main (#4739)
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2025-05-30 05:28:40 +08:00 |
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logitsBitmaskOp.cpp
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[TRTLLM-7027][feat] Fuse d2t to logitsBitmaskKernel and fix a race condition in one-model spec (#7481)
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2025-09-04 23:30:14 +08:00 |
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loraOp.cpp
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[TRTLLM-7263][fix] Prevent recreation of cublas handles in lora_grouped_gemm every call (#6968)
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2025-08-19 15:39:56 +03:00 |
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mambaConv1dOp.cpp
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Update TensorRT-LLM (#2873)
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2025-03-11 21:13:42 +08:00 |
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mlaPreprocessOp.cpp
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[TRTLLM-7192][feat] optimize MLA chunked prefill && support fp8 mla chunked prefill (#7477)
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2025-09-15 21:43:49 +08:00 |
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moeCommOp.cpp
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[TRTLLM-6876][feat] Add low precision all2all for mnnvl (#7155)
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2025-08-28 18:26:16 +08:00 |
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moeLoadBalanceOp.cpp
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[TRTLLM-6743][feat] Optimize and refactor alltoall in WideEP (#6973)
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2025-08-24 08:15:29 -04:00 |
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moeOp.cpp
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[None][feat] DeepEP LL fp8 dispatch/combine (#7927)
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2025-09-25 09:20:24 +08:00 |
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moeUtilOp.cpp
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[TRTLLM-7319][perf] Fuse slicing into MoE. (#6728)
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2025-08-25 16:52:30 -04:00 |
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mtpOp.cpp
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fix: refactor and fix mtp vanilla (#4762)
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2025-06-20 05:23:39 +08:00 |
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mxFp4BlockScaleMoe.cpp
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[None][feat] Update TRT-LLM Gen MoE kernels (#7970)
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2025-10-03 09:22:45 +08:00 |
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mxFp8Quantize.cpp
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[None] [feat] Add model gpt-oss (#6645)
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2025-08-07 03:04:18 -04:00 |
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ncclCommunicatorOp.cpp
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feat: [nvbugs/5261055][nvbugs/5170160] non-invasive pipeline parallelism (#4034)
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2025-05-16 04:16:53 +08:00 |
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ncclCommunicatorOp.h
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feat: [nvbugs/5261055][nvbugs/5170160] non-invasive pipeline parallelism (#4034)
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2025-05-16 04:16:53 +08:00 |
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noAuxTcOp.cpp
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Update TensorRT-LLM (#2873)
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2025-03-11 21:13:42 +08:00 |
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parallelDecodeKVCacheUpdateOp.cpp
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Update TensorRT-LLM (#2582)
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2024-12-16 21:50:47 -08:00 |
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redrafterCurandOp.cpp
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[TRTLLM-5171] chore: Remove GptSession/V1 from TRT workflow (#4092)
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2025-05-14 23:10:04 +02:00 |
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reducescatterOp.cpp
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[TRTLLM-7349][feat] Adding new orchestrator type -- ray (#7520)
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2025-10-04 08:12:24 +08:00 |
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relativeAttentionBiasOp.cpp
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Update TensorRT-LLM (#2873)
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2025-03-11 21:13:42 +08:00 |
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selectiveScanOp.cpp
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Update TensorRT-LLM (#2873)
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2025-03-11 21:13:42 +08:00 |
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thUtils.cpp
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Update TensorRT-LLM (#2849)
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2025-03-04 18:44:00 +08:00 |
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thUtils.h
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[TRTLLM-5812][feat] support FP8 row-wise dense GEMM in torch flow (#5615)
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2025-07-07 18:04:57 +08:00 |
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tinygemm2.cpp
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[TRTLLM-7775][feat] Integrate tinygemm2 for gpt-oss (#7916)
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2025-10-02 10:47:04 -07:00 |
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userbuffersFinalizeOp.cpp
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feat: Introduce UB allocator for pytorch flow (#3257)
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2025-04-08 18:39:49 +08:00 |
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userbuffersTensor.cpp
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feat: Introduce UB allocator for pytorch flow (#3257)
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2025-04-08 18:39:49 +08:00 |
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userbuffersTensor.h
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feat: Introduce UB allocator for pytorch flow (#3257)
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2025-04-08 18:39:49 +08:00 |
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virtualMemoryAllocator.cpp
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[TRTLLM-4406][feat] LLM sleep & wakeup Part 1: virtual device memory (#5034)
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2025-08-04 13:51:01 +08:00 |
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weightOnlyQuantGemm.cpp
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[TRTLLM-5863][feat] Support Weight-Only-Quantization in PyTorch Workflow (#5850)
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2025-07-21 15:17:35 +08:00 |
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weightOnlyQuantGemm.h
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[TRTLLM-5863][feat] Support Weight-Only-Quantization in PyTorch Workflow (#5850)
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2025-07-21 15:17:35 +08:00 |
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weightOnlyQuantOp.cpp
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[None] [feat] Add model gpt-oss (#6645)
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2025-08-07 03:04:18 -04:00 |
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