torch.compile

torch._dynamo PyTorch’s compiler frontend which can output subgraphs when programs aren’t traceable. FX (Functional Transformations) FX is a toolkit for developers to use to transform nn.Module instances. FX consists of three main components: a symbolic tracer, an intermediate representation , and Python code generation . torch._inductor The default compiler in torch.compile, builds loops schedules and codegens triton or C++ kernels.

Topic	Replies	Views	Activity
About the torch.compile category torch.compile	0	1339	January 9, 2023
Variable sized outputs in custom operator? torch.compile	1	15	April 15, 2026
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ONNX Community Survey 2026 torch.compile	0	37	February 11, 2026
"Offset increment outside graph capture encountered unexpectedly" is a specific PyTorch Windows issue that's known to occur with CUDA Graphs. This is a bug in PyTorch Windows builds FX (Functional Transformations)	0	103	February 10, 2026
torch.compile(fullgraph=True) fails on nn.utils.rnn.pad_sequence with padding_side, while fullgraph=False succeeds torch.compile	0	23	February 5, 2026
Error: accessing tensor output of CUDAGraphs that has been overwritten by a subsequent run torch.compile	1	781	February 5, 2026
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Let HOF (torch.cond, torch.while_loop) skip compilation of input functions if needed torch._dynamo	0	26	December 17, 2025
Autotune cache key for matrix multiplication torch._inductor	0	25	December 11, 2025
Torch compile cache sharing across different GPUs torch.compile	3	208	December 10, 2025
Coordinate_descent_tuning errors out with torch.AcceleratorError: CUDA error: invalid argument torch.compile	12	446	December 5, 2025
_GLIBCXX_USE_CXX11_ABI incompatibility torch.compile	2	81	December 3, 2025