| .. |
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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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[None][feat] MNNVLAllreduce Kernel Refactor (#8018)
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2025-11-05 08:49:47 +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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[None][fix] Remove unnecessary attention workspace memory check (#9064)
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2025-11-12 11:18:50 +08:00 |
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attentionOp.h
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[TRTLLM-8803][feat] Add rope and uk-bgemm overlap for mla generation (#8495)
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2025-11-06 17:39:57 +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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[None][feat] Add customized topk and related unit tests for DSA (#8882)
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2025-11-10 03:35:35 -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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cublasFp4ScaledMM.cpp
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[https://nvbugs/5451205][feat] Add cuBLASLt NVFP4 GEMM backend support (#7943)
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2025-10-23 15:55:10 +08:00 |
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cublasScaledMM.cpp
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[None][feat] GPT-OSS Sm120/Sm121 Support (#7937)
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2025-10-06 16:59:06 -04:00 |
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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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cudaNvfp4MM.cpp
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[None][feat] Enable nvfp4 cuda core for sm120 (#8620)
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2025-10-29 12:39:03 +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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dsv3RopeOp.cpp
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[TRTLLM-8803][feat] Add rope and uk-bgemm overlap for mla generation (#8495)
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2025-11-06 17:39:57 +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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[None][feat] Support ignored prompt length for penalties via new sampling config parameter (#8127)
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2025-10-27 13:12:31 -04:00 |
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dynamicDecodeOp.h
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[None][feat] Support ignored prompt length for penalties via new sampling config parameter (#8127)
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2025-10-27 13:12:31 -04:00 |
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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 TRTLLM MoE MxFP4 cubins; autotune tileN (#8156)
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2025-10-23 09:14:18 +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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[None][feat] Autotuner can iterate through all tactics for test purposes (#8663)
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2025-10-30 13:11:25 +01:00 |
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fp8BlockScalingGemm.cpp
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[TRTLLM-1234][feat] Add fp8 blockscaled Gemm for sm120 (#8844)
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2025-11-04 18:10:36 +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] Update TRTLLM MoE MxFP4 cubins; autotune tileN (#8156)
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2025-10-23 09:14:18 +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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[None][perf] Use fp8 quant kernel in DS3.2 indexer module (#8701)
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2025-10-29 12:45:09 +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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helixPostProcessOp.cpp
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[TRTLLM-5966][feat] Helix: add full MLA support for Helix (#8104)
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2025-11-04 09:06:58 +08:00 |
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IndexerKCacheScatterOp.cpp
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[None][perf] Add custom indexer k cache scatter op (#8960)
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2025-11-07 11:24:26 -08:00 |
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IndexerTopKOp.cpp
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[None][feat] Add customized topk and related unit tests for DSA (#8882)
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2025-11-10 03:35:35 -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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moeAlltoAllMeta.h
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[None][feat] Integrate MnnvlThroughput into TRTLLM MoE. (#8728)
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2025-11-04 21:36:29 +08:00 |
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moeAlltoAllOp.cpp
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[None][feat] Integrate MnnvlThroughput into TRTLLM MoE. (#8728)
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2025-11-04 21:36:29 +08:00 |
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moeCommOp.cpp
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[None][fix] Rename: slot_count -> invalid_expert_id (#8783)
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2025-11-01 21:36:59 +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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[TRTLLM-7318][feat] MnnvlThroughput AlltoAll implementation. (#7499)
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2025-10-27 13:23:06 -04:00 |
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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] Integrate MnnvlThroughput into TRTLLM MoE. (#8728)
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2025-11-04 21:36:29 +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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[TRTLLM-8637][feat] Optimize the routing kernel for DeepseekV3 (MoE CUTLASS backend); Add support for KimiK2 and Qwen-next (MoE TRTLLM backend) (#7761)
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2025-10-20 10:08:31 +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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[None][fix] Restrict tinygemm use to certain SMs (#8182)
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2025-10-08 17:55:57 -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 |
