Aurelien Chartier 8cf2785bc6 chore: unify pp_layers helpers (#3429) ... * chore: unify pp_layers helpers Fix assumptions about equal number of layers per PP rank in prepare_attention_inputs Signed-off-by: Aurelien Chartier <2567591+achartier@users.noreply.github.com>		2025-04-15 04:49:17 +08:00
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__init__.py	Update TensorRT-LLM (#2755)	2025-02-11 03:01:00 +00:00
_util.py	chore: unify pp_layers helpers (#3429)	2025-04-15 04:49:17 +08:00
config.py	remove useless max_num_tokens member in PyTorchConfig (#3493)	2025-04-12 21:09:58 +08:00
cuda_graph_runner.py	feat: Run PyExecutor's inference flow to estimate max_num_tokens for kv_cache_manager (#3092)	2025-04-10 18:29:40 +08:00
decoder.py	refactor: decoder buffers (#3307)	2025-04-12 11:41:24 +02:00
distributed.py	Only gather responses on rank 0 (#3040)	2025-03-24 21:54:51 -07:00
guided_decoder.py	Update (#2978)	2025-03-23 16:39:35 +08:00
kv_cache_transceiver.py	Update TensorRT-LLM (#2849)	2025-03-04 18:44:00 +08:00
layerwise_nvtx_marker.py	Update TensorRT-LLM (#2849)	2025-03-04 18:44:00 +08:00
llm_request.py	feat: Run PyExecutor's inference flow to estimate max_num_tokens for kv_cache_manager (#3092)	2025-04-10 18:29:40 +08:00
model_engine.py	Cache sin cos in model instead of global LRU cache. (#3378)	2025-04-14 11:19:09 +08:00
py_executor_creator.py	fix: don't perform memory estimation for start_attention (#3485)	2025-04-12 11:34:46 +08:00
py_executor.py	feat: Support torch profiler (#3470)	2025-04-14 22:06:06 +08:00
resource_manager.py	feat: Support PeftCacheManager in Torch (#3186)	2025-04-04 12:38:08 +08:00
scheduler.py	Update TensorRT-LLM (#2936)	2025-03-18 21:25:19 +08:00