Zongfei Jing a0f523c628 refactor(moe): improve FC1/FC2 get_valid_tactics and tuning config ... - Refactor get_valid_tactics for FC1 and FC2 runners to define mma_tiler_mn_candidates and cluster_shape_mn_candidates together - Use itertools.product for cleaner iteration pattern - Update get_tuning_config for FC1 and FC2 to use DynamicTensorSpec and ConstraintSpec for proper dynamic tensor handling - FC1: Add constraint for input scale factor shape inference - FC2: Add constraints for input scale factor and alpha_scale shape Signed-off-by: Zongfei Jing <20381269+zongfeijing@users.noreply.github.com>		2026-01-12 22:13:46 -08:00
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__init__.py	[None][feat] Support Qwen3 next (#7892)	2025-09-29 21:16:07 +08:00
cpp_custom_ops.py	[TRTLLM-8821][feat] Apply AutoTuner to AllReduce Op for strategy tuning. (#8531)	2026-01-05 15:44:37 +08:00
cute_dsl_custom_ops.py	refactor(moe): improve FC1/FC2 get_valid_tactics and tuning config	2026-01-12 22:13:46 -08:00
flashinfer_custom_ops.py	[TRTC-1943][feat] Env vars override support in LLM API (#9104)	2025-12-01 10:04:49 -08:00
torch_custom_ops.py	[TRTLLM-8821][feat] Apply AutoTuner to AllReduce Op for strategy tuning. (#8531)	2026-01-05 15:44:37 +08:00
trtllm_gen_custom_ops.py	[None][perf] TRTLLM MoE maps to lower tuning buckets when ep>1 (#9998)	2026-01-05 17:16:12 +01:00
userbuffers_custom_ops.py	feat: Introduce UB allocator for pytorch flow (#3257)	2025-04-08 18:39:49 +08:00