brb-nv a3c0cf02ce fix: Investigate Gemma3 1B decoder output discrepancy (#5564) ... Signed-off-by: Balaram Buddharaju <169953907+brb-nv@users.noreply.github.com>		2025-07-03 09:55:25 +08:00
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attention_backend	fix: Investigate Gemma3 1B decoder output discrepancy (#5564)	2025-07-03 09:55:25 +08:00
auto_deploy	refactor: Introduce ResourceManagerType enum for resource management (#5246)	2025-06-18 09:55:59 +02:00
compilation	[feat] Piecewise cuda graph support for MLA (#4467)	2025-06-17 18:58:38 +08:00
custom_ops	[TRTLLM-5589] feat: Minor optimizations for tunable FP8 batched GEMM op. (#5139)	2025-06-18 14:33:46 +08:00
distributed	Feat/ds r1 min latency opt round3, add router gemm, fused a gemm, PDL (#4560)	2025-06-14 17:36:22 +08:00
models	fix: Investigate Gemma3 1B decoder output discrepancy (#5564)	2025-07-03 09:55:25 +08:00
modules	[feat] Piecewise cuda graph support for MLA (#4467)	2025-06-17 18:58:38 +08:00
peft	feat: support multi lora adapters and TP (#3885)	2025-05-08 23:45:45 +08:00
pyexecutor	feat: TRTLLM-5941 Upgrade xgrammar to 0.1.18 (#5364)	2025-06-25 14:10:50 +08:00
speculative	Speculation: Draft Target in new FW (#4558)	2025-06-17 02:26:08 +08:00
__init__.py	Update TensorRT-LLM (#2755)	2025-02-11 03:01:00 +00:00
autotuner.py	[TRTLLM-5770] feat: Integrate TRT-LLM Gen FP8 block scale MoE with Pytorch workflow kernel autotuner (#5207)	2025-06-17 21:01:56 +08:00
expert_statistic.py	feat: large-scale EP(part 5: Static EP load balancer with offline statistics) (#4695)	2025-06-02 01:25:02 +08:00
llm.py	chore: partition LLM class into TorchLLM and TrtLLM (#4900)	2025-06-18 14:01:25 +08:00
metadata.py	feat: no-cache attention in PyTorch workflow (#3085)	2025-04-05 01:54:32 +08:00
model_config.py	feat: large-scale EP(part 7: DeepEP integration) (#4792)	2025-06-14 19:12:38 +08:00
utils.py	feat: Enhance AutoTuner inference path and code readability (#4466)	2025-06-04 10:53:11 +08:00