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framework-internalsdevelopment

perf-torch-cuda-graphs

Apply CUDA Graphs to PyTorch workloads — API selection (torch.compile, PyTorch make_graphed_callables, TE make_graphed_callables, MCore CudaGraphManager, FullCudaGraphWrapper, manual torch.cuda.graph), code compatibility, capture workflows, dynamic pattern handling, and troubleshooting. Triggers: CUDA graph, torch.cuda.graph, make_graphed_callables, reduce-overhead, graph capture, graph replay, kernel launch overhead, CudaGraphManager, FullCudaGraphWrapper, full-iteration graph, stream capture.

NVIDIA
maintainer
NVIDIA
اپ ڈیٹ ہوا 4/8/2026
اسٹارز
13335
فورکس
2271
quick start

Installation and usage

Apply CUDA Graphs to PyTorch workloads — API selection (torch.compile, PyTorch make_graphed_callables, TE make_graphed_callables, MCore CudaGraphManager, FullCudaGraphWrapper, manual torch.cuda.graph), code compatibility, capture workflows, dynamic pattern handling, and troubleshooting. Triggers: CUDA graph, torch.cuda.graph, make_graphed_callables, reduce-overhead, graph capture, graph replay, kernel launch overhead, CudaGraphManager, FullCudaGraphWrapper, full-iteration graph, stream capture.

انسٹالیشن
$ install --globalskills.sh
استعمال

انسٹال کرنے کے بعد، آپ یہ اسکل ٹرمینل میں درج ذیل کمانڈ چلا کر استعمال کر سکتے ہیں:

skills use perf-torch-cuda-graphs