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allgatherOp.cpp
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[fix] Move NCCL group in all-gather and reduce-scatter OPs outside the outer loop (#6053)
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2025-07-16 00:25:32 +09:00 |
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allreduceOp.cpp
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perf: better heuristic for allreduce (#5432)
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2025-07-01 22:56:06 -04:00 |
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attentionOp.cpp
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[TRTLLM-6674][feat] (Breaking Change) Hopper SWA non-cyclic kernels + KV reuse + Spec Dec (#6379)
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2025-08-05 07:47:41 +00:00 |
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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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[https://nvbugs/5392414] [fix] For release 1.0 cherry pick. Add customized default routing method (#7068)
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2025-08-21 20:06:50 +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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[https://nvbugs/5392414] [fix] For release 1.0 cherry pick. Add customized default routing method (#7068)
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2025-08-21 20:06:50 +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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update FP4 quantize layout (#3045)
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2025-04-03 13:13:54 -04:00 |
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fp4BlockScaleMoe.cpp
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[nvbugs/5336321][fix] Enable attention dp = False test case, Fix TRTLLM Gen Moe workspace allocation (#5463)
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2025-07-14 17:17:30 +08:00 |
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fp4Gemm.cpp
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feat: Add w4a8_mxfp4_fp8 quantization recipe. (#4867)
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2025-06-16 11:30:57 +08:00 |
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fp4GemmTrtllmGen.cpp
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feat: update DeepSeek FP8 TRT-LLM Gen cubins (#4643)
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2025-06-03 14:07:54 -07:00 |
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fp4Op.cpp
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[feat] Support torch compile for attention dp (#5086)
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2025-07-01 13:48:52 -04:00 |
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fp4Quantize.cpp
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feat: Fallback to NCCL for various patterns when input size is large. (#4080)
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2025-05-08 11:13:13 -07:00 |
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fp4Quantize.h
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feat: Fallback to NCCL for various patterns when input size is large. (#4080)
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2025-05-08 11:13:13 -07:00 |
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fp8BatchedGemmTrtllmGen.cpp
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[TRTLLM-5589] feat: Minor optimizations for tunable FP8 batched GEMM op. (#5139)
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2025-06-18 14:33:46 +08:00 |
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fp8BlockScaleMoe.cpp
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[TRTLLM-6100] fix: Nvbug 5356427: autotuned TRTLLM Gen fp8 block scale MoE illegal memory access (#5676)
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2025-07-14 17:17:30 +08:00 |
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fp8BlockScalingGemm.cpp
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feat: update DeepSeek FP8 TRT-LLM Gen cubins (#4643)
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2025-06-03 14:07:54 -07:00 |
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fp8Op.cpp
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feat: Fallback to NCCL for various patterns when input size is large. (#4080)
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2025-05-08 11:13:13 -07:00 |
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fp8Op.h
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feat: Fallback to NCCL for various patterns when input size is large. (#4080)
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2025-05-08 11:13:13 -07:00 |
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fp8PerTensorScaleMoe.cpp
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[TRTLLM-5770] feat: Integrate TRT-LLM Gen FP8 block scale MoE with Pytorch workflow kernel autotuner (#5207)
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2025-06-17 21:01:56 +08:00 |
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fp8PerTensorScalingTrtllmGenGemm.cpp
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feat: update DeepSeek FP8 TRT-LLM Gen cubins (#4643)
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2025-06-03 14:07:54 -07:00 |
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fp8Quantize.cpp
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[feat] open source fp8_blockscale_gemm (#3071)
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2025-04-02 12:12:52 +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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[https://nvbugs/5340941] - fix: Correct custom ops used by Qwen3 Moe … (#6285)
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2025-07-25 14:49:45 +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-6406] feat: Enable guided decoding with overlap scheduler (#6000)
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2025-07-17 17:46:10 +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 (#7053)
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2025-08-20 06:41:20 -04:00 |
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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-3602][feat] support nvfp4 model and fp8 kv cache for MLA chunked prefill (Blackwell) (#5475)
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2025-06-26 22:18:08 +08:00 |
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moeCommOp.cpp
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[NvBug 5378370] fix: Fix alltoall for llama4 (apply_router_weight_on_input=True) (#5902)
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2025-07-12 15:50:31 +09:00 |
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moeLoadBalanceOp.cpp
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feat: large-scale EP(part 8: Online EP load balancer integration for PCIe fp8) (#5226)
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2025-06-25 22:25:13 -07:00 |
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moeOp.cpp
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[https://nvbugs/5412562][feat] Allocate MoE workspace only when necessary (release/1.0 retargeted) (#6955)
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2025-08-18 08:50:35 +08:00 |
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moeUtilOp.cpp
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feat: Add support for MXFP8xMXFP4 in pytorch (#5535)
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2025-07-06 15:32:06 -07:00 |
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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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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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[fix] Move NCCL group in all-gather and reduce-scatter OPs outside the outer loop (#6053)
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2025-07-16 00:25:32 +09:00 |
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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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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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chore: remove usernames from comments (#3291)
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2025-04-05 13:44:28 +08:00 |
