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build/torch-universal/backward_marker_test/layers.py
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@@ -4,11 +4,14 @@ from torch.nn import functional as F
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class LinearImplicitBackward(nn.Module):
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def forward(self, input: torch.Tensor) -> torch.Tensor:
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return F.linear(input, self.weight, self.bias)
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class LinearBackward(nn.Module):
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has_backward = True
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def forward(self, input: torch.Tensor) -> torch.Tensor:
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@@ -16,6 +19,7 @@ class LinearBackward(nn.Module):
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class LinearNoBackward(nn.Module):
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has_backward = False
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def forward(self, input: torch.Tensor) -> torch.Tensor:
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class LinearImplicitBackward(nn.Module):
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can_torch_compile = True
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def forward(self, input: torch.Tensor) -> torch.Tensor:
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return F.linear(input, self.weight, self.bias)
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class LinearBackward(nn.Module):
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can_torch_compile = True
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has_backward = True
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def forward(self, input: torch.Tensor) -> torch.Tensor:
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class LinearNoBackward(nn.Module):
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can_torch_compile = True
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has_backward = False
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def forward(self, input: torch.Tensor) -> torch.Tensor:
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