kanghui0204 5e634dd1bd feat: Low Precision Allreduce for PCIe based GPU (#3851) ... This PR adds a customized allreduce to TensorRT-LLM. The new allreduce is used for communication on PCIe-based GPUs via low-precision quantization, which can accelerate the PCIe allreduce process. Signed-off-by: Hui Kang <hkang@nvidia.com> Co-authored-by: Hui Kang <hkang@nvidia.com>		2025-05-14 16:45:43 +08:00
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test_allreduce.py	Fallback to NCCL for various patterns when input size is large. (#4009)	2025-05-01 15:17:16 -07:00
test_ar_residual_norm.py	refactor: remove ParallelConfig in tensorrt_llm._torch.distributed module (#3370)	2025-04-11 15:34:20 -07:00
test_embedding.py	refactor: remove ParallelConfig in tensorrt_llm._torch.distributed module (#3370)	2025-04-11 15:34:20 -07:00
test_linear.py	refactor: remove ParallelConfig in tensorrt_llm._torch.distributed module (#3370)	2025-04-11 15:34:20 -07:00
test_lowprecision_allreduce.py	feat: Low Precision Allreduce for PCIe based GPU (#3851)	2025-05-14 16:45:43 +08:00
test_star_attention_input.jsonl	Update TensorRT-LLM (#2936)	2025-03-18 21:25:19 +08:00
test_star_attention.py	[TRTLLM-3925, https://nvbugs/5245262] [fix] Normalize LLM.generate API (#3985)	2025-05-07 11:06:23 +08:00
test_user_buffers.py	fix: Remove ParallelConfig. (#3678)	2025-04-21 14:14:08 +08:00