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71b7182ee2
Summary: Action following https://github.com/pytorch/pytorch/issues/66232 Pull Request resolved: https://github.com/pytorch/pytorch/pull/66830 Reviewed By: albanD Differential Revision: D31905820 Pulled By: janeyx99 fbshipit-source-id: 9496acc98339d689fa62e18a8781d7344903a64c
66 lines
1.4 KiB
Python
66 lines
1.4 KiB
Python
# Owner(s): ["oncall: package/deploy"]
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import torch
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from torch.fx import wrap
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wrap("a_non_torch_leaf")
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class ModWithSubmod(torch.nn.Module):
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def __init__(self, script_mod):
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super().__init__()
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self.script_mod = script_mod
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def forward(self, x):
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return self.script_mod(x)
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class ModWithTensor(torch.nn.Module):
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def __init__(self, tensor):
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super().__init__()
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self.tensor = tensor
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def forward(self, x):
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return self.tensor * x
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class ModWithSubmodAndTensor(torch.nn.Module):
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def __init__(self, tensor, sub_mod):
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super().__init__()
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self.tensor = tensor
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self.sub_mod = sub_mod
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def forward(self, x):
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return self.sub_mod(x) + self.tensor
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class ModWithTwoSubmodsAndTensor(torch.nn.Module):
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def __init__(self, tensor, sub_mod_0, sub_mod_1):
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super().__init__()
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self.tensor = tensor
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self.sub_mod_0 = sub_mod_0
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self.sub_mod_1 = sub_mod_1
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def forward(self, x):
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return self.sub_mod_0(x) + self.sub_mod_1(x) + self.tensor
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class ModWithMultipleSubmods(torch.nn.Module):
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def __init__(self, mod1, mod2):
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super().__init__()
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self.mod1 = mod1
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self.mod2 = mod2
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def forward(self, x):
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return self.mod1(x) + self.mod2(x)
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class SimpleTest(torch.nn.Module):
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def forward(self, x):
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x = a_non_torch_leaf(x, x)
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return torch.relu(x + 3.0)
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def a_non_torch_leaf(a, b):
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return a + b
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