Yechan Kim 5bc6f093c8 fix: mllama e2e pytorch flow fix (#3397) ... Signed-off-by: yechank <161688079+yechank-nvidia@users.noreply.github.com>		2025-04-11 17:33:15 +08:00
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attention_backend	chore: Refine attention backend interface. (#3271)	2025-04-09 02:34:53 +08:00
auto_deploy	feat: [TRTLLM-3510] DeepseekV3 support in AutoDeploy (#3281)	2025-04-08 21:47:57 +08:00
compilation	feat: Introduce UB allocator for pytorch flow (#3257)	2025-04-08 18:39:49 +08:00
custom_ops	feat: Introduce UB allocator for pytorch flow (#3257)	2025-04-08 18:39:49 +08:00
models	fix: mllama e2e pytorch flow fix (#3397)	2025-04-11 17:33:15 +08:00
modules	feat: support llama4 nope layers; support FP8 checkpoint loading; (#3382)	2025-04-10 10:16:42 -07:00
peft	lora_tests (#3201)	2025-04-09 18:06:52 +03:00
pyexecutor	feat: Run PyExecutor's inference flow to estimate max_num_tokens for kv_cache_manager (#3092)	2025-04-10 18:29:40 +08:00
speculative	fix the py_decoding_iter update in decoder. (#3297)	2025-04-07 11:18:33 +08:00
__init__.py	Update TensorRT-LLM (#2755)	2025-02-11 03:01:00 +00:00
autotuner.py	feat: Apply the new torch-flow compatible AutoTuner to both Fused MoE and NVFP4 Linear operators. (#3151)	2025-04-08 14:28:36 +08:00
distributed.py	Update (#2978)	2025-03-23 16:39:35 +08:00
llm.py	test: [TRTLLM-4334] Create 1.0 criteria scope from API stability references (#3069)	2025-03-26 18:14:35 +08:00
metadata.py	feat: no-cache attention in PyTorch workflow (#3085)	2025-04-05 01:54:32 +08:00
model_config.py	Add Llama 4 (#3302)	2025-04-09 03:35:21 +08:00
pipeline_interface.py	Update (#2978)	2025-03-23 16:39:35 +08:00
utils.py	feat: Apply the new torch-flow compatible AutoTuner to both Fused MoE and NVFP4 Linear operators. (#3151)	2025-04-08 14:28:36 +08:00