conv2d() — pytorch Function Reference
Architecture documentation for the conv2d() function in generate_test_torchscripts.py from the pytorch codebase.
Entity Profile
Dependency Diagram
graph TD c96a71b2_2511_a9f3_a220_200ca87751a3["conv2d()"] c800a173_9551_2901_c091_d157ae22ae5a["contiguous()"] c96a71b2_2511_a9f3_a220_200ca87751a3 -->|calls| c800a173_9551_2901_c091_d157ae22ae5a style c96a71b2_2511_a9f3_a220_200ca87751a3 fill:#6366f1,stroke:#818cf8,color:#fff
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Source Code
android/pytorch_android/generate_test_torchscripts.py lines 124–130
def conv2d(self, x: Tensor, w: Tensor, toChannelsLast: bool) -> Tensor:
r = torch.nn.functional.conv2d(x, w)
if toChannelsLast:
r = r.contiguous(memory_format=torch.channels_last)
else:
r = r.contiguous()
return r
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Frequently Asked Questions
What does conv2d() do?
conv2d() is a function in the pytorch codebase.
What does conv2d() call?
conv2d() calls 1 function(s): contiguous.
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