| .. |
|
attention_backend
|
[TRTLLM-3442] feat: added beam search support to the PyTorch Workflow (#5333)
|
2025-07-05 01:35:13 +09:00 |
|
auto_deploy
|
[TRTLLM-3442] feat: added beam search support to the PyTorch Workflow (#5333)
|
2025-07-05 01:35:13 +09:00 |
|
compilation
|
[feat] Piecewise cuda graph support for MLA (#4467)
|
2025-06-17 18:58:38 +08:00 |
|
custom_ops
|
feat: Add support for MXFP8xMXFP4 in pytorch (#5535)
|
2025-07-06 15:32:06 -07:00 |
|
debug
|
Add debug hook to support dump tensor data and add new debug functions easily (#5182)
|
2025-06-24 17:45:28 +08:00 |
|
distributed
|
[feat] Support torch compile for attention dp (#5086)
|
2025-07-01 13:48:52 -04:00 |
|
models
|
fix: Investigate Gemma3 1B decoder output discrepancy (#5564)
|
2025-07-04 13:14:13 +08:00 |
|
modules
|
Add dummy all_reduce for kernel breakdown (#5745)
|
2025-07-05 13:08:58 +09:00 |
|
peft
|
feat: support multi lora adapters and TP (#3885)
|
2025-05-08 23:45:45 +08:00 |
|
pyexecutor
|
refactor: decoding inputs (#5679)
|
2025-07-06 08:21:02 +02:00 |
|
speculative
|
MTP and derivatives: Align sample state with trtllm sampler sample state (#5675)
|
2025-07-03 19:55:48 +02:00 |
|
__init__.py
|
[TRTLLM-5208][BREAKING CHANGE] chore: make pytorch LLM the default (#5312)
|
2025-06-20 03:01:10 +08:00 |
|
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
|
Add MTP support for Online EPLB (#5213)
|
2025-06-25 07:58:13 +08:00 |
|
llm.py
|
[TRTLLM-5208][BREAKING CHANGE] chore: make pytorch LLM the default (#5312)
|
2025-06-20 03:01:10 +08:00 |
|
metadata.py
|
feat: no-cache attention in PyTorch workflow (#3085)
|
2025-04-05 01:54:32 +08:00 |
|
model_config.py
|
Feat/pytorch vswa kvcachemanager (#5151)
|
2025-07-02 15:58:00 +08:00 |
|
utils.py
|
[feat] Support torch compile for attention dp (#5086)
|
2025-07-01 13:48:52 -04:00 |
