Neta Zmora 966231d29c [#9626][feat] Add an auto-deploy transform for using cutlass FP4 MoE kernels (#10304) ... Add a transform to relace torch.ops.auto_deploy.torch_quant_nvfp4_moe with the optimized torch.ops.auto_deploy.trtllm_quant_nvfp4_moe_fused. Currently generates the wrong results when the number of rows in MoE FC1 weights is not divisible by 128, so torch.ops.auto_deploy.trtllm_quant_nvfp4_moe_fused is not set as the default FP4 MoE implementation (i.e. the transform is disabled). Signed-off-by: Neta Zmora <96238833+nzmora-nvidia@users.noreply.github.com>		2025-12-29 23:18:15 +02:00
..
attention_backend	[TRTLLM-7735][feat] Attention NVFP4 out support for torch compile (#9740)	2025-12-27 00:07:20 +08:00
auto_deploy	[#9626][feat] Add an auto-deploy transform for using cutlass FP4 MoE kernels (#10304)	2025-12-29 23:18:15 +02:00
compilation	[TRTLLM-7735][feat] Attention NVFP4 out support for torch compile (#9740)	2025-12-27 00:07:20 +08:00
configs	[TRTLLM-8535][feat] Support DeepSeek V3.2 with FP8 + BF16 KV cache/NVFP4 + BF16 KV cache (#8405)	2025-10-24 13:40:41 -04:00
custom_ops	[None][fix] Cherry-pick conflict changes for PR 7999 PR 8515 (#9446)	2025-12-25 10:23:04 -05:00
cute_dsl_kernels	[TRTLLM-9831][perf] Enable 2CTA with autotune for CuteDSL MoE and Grouped GEMM optimizations (#10201)	2025-12-25 09:04:20 -05:00
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	[TRTLLM-9493][feat] Custom AllToAll for helix parallelism (#9986)	2025-12-23 18:14:30 -08:00
models	[TRTLLM-8577][feat] Clean the Qwen3-next code by removing Qwen3NextCo… (#10228)	2025-12-27 22:49:55 +08:00
modules	[TRTLLM-7735][feat] Attention NVFP4 out support for torch compile (#9740)	2025-12-27 00:07:20 +08:00
peft	[TRTLLM-7346][fix] Improve performance of PyTorchModelEngine._get_lora_params_from_requests (#7033)	2025-08-25 10:37:40 +03:00
pyexecutor	[TRTLLM-9962][feat] Some optimizations for two-model spec dec (#10208)	2025-12-28 12:52:04 +08:00
shared_tensor	[1/N][TRTLLM-5195][feat] Share PyTorch tensor between processes (#5396)	2025-07-10 05:12:53 +09:00
speculative	[TRTLLM-9962][feat] Some optimizations for two-model spec dec (#10208)	2025-12-28 12:52:04 +08:00
__init__.py	[TRTLLM-9212][chore] move MoeLoadBalancerConfig to llm_args.py (#9002)	2025-11-13 10:47:35 +08:00
async_llm.py	[TRTLLM-9736][feat] AsyncLLM and verl integ (#9353)	2025-12-11 09:33:25 -08:00
autotuner.py	[TRTLLM-9831][perf] Enable 2CTA with autotune for CuteDSL MoE and Grouped GEMM optimizations (#10201)	2025-12-25 09:04:20 -05:00
cublaslt_utils.py	[https://nvbugs/5451205][feat] Add cuBLASLt NVFP4 GEMM backend support (#7943)	2025-10-23 15:55:10 +08:00
cute_dsl_utils.py	[None][chore] polish error message in cute_dsl_utils.py (#7852)	2025-09-19 12:05:11 +08:00
device_mesh.py	[None][feat] Async pp send for PPCommTorch. (#9976)	2025-12-15 14:03:46 +08:00
expert_statistic.py	[TRTLLM-8831][feat] Enable early exit with overlap scheduler (#8587)	2025-11-17 18:07:13 +01:00
flashinfer_utils.py	[TRTLLM-9578][feat] make PDL enabled by default (#9695)	2025-12-25 07:15:24 -05:00
hostfunc.py	[TRTLLM-7028][feat] Enable guided decoding with speculative decoding (part 2: one-model engine) (#6948)	2025-09-03 15:16:11 -07:00
llm.py	[TRTLLM-5208][BREAKING CHANGE] chore: make pytorch LLM the default (#5312)	2025-06-20 03:01:10 +08:00
memory_buffer_utils.py	[https://nvbugs/5629833][fix] Don't fill tensors with 0 (#9296)	2025-11-21 20:50:05 +08:00
metadata.py	[None][feat] Use Separate QKV Input Layout for Context MLA (#6538)	2025-08-19 22:04:48 +08:00
model_config.py	[TRTLLM-9416][feat] Skip DS-v3.2 indexer MQA and Top-K for short sequences. (#9524)	2025-12-15 12:42:25 +08:00
utils.py	[TRTLLM-9992][perf] Enable PDL for CuteDSL kernels and overlap MoeOutputMemset (#10043)	2025-12-20 03:12:41 -05:00
virtual_memory.py	[TRTLLM-9736][feat] AsyncLLM and verl integ (#9353)	2025-12-11 09:33:25 -08:00