conv3d() — pytorch Function Reference
Architecture documentation for the conv3d() function in generate_test_torchscripts.py from the pytorch codebase.
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Dependency Diagram
graph TD c7b1c2e9_7a80_5b06_2ade_87c265f88be7["conv3d()"] 0b7e2e4a_6531_1537_a6f4_db8a7938bd78["contiguous()"] c7b1c2e9_7a80_5b06_2ade_87c265f88be7 -->|calls| 0b7e2e4a_6531_1537_a6f4_db8a7938bd78 style c7b1c2e9_7a80_5b06_2ade_87c265f88be7 fill:#6366f1,stroke:#818cf8,color:#fff
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Source Code
android/pytorch_android/generate_test_torchscripts.py lines 133–139
def conv3d(self, x: Tensor, w: Tensor, toChannelsLast: bool) -> Tensor:
r = torch.nn.functional.conv3d(x, w)
if toChannelsLast:
r = r.contiguous(memory_format=torch.channels_last_3d)
else:
r = r.contiguous()
return r
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Frequently Asked Questions
What does conv3d() do?
conv3d() is a function in the pytorch codebase.
What does conv3d() call?
conv3d() calls 1 function(s): contiguous.
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