add models and layers backward test
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@@ -24,3 +24,14 @@ def test_forward():
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x = torch.rand(10, 2)
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model = ResidualFeedForward(input_dimensions=2, output_dimensions=1)
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model(x)
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def test_backward():
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x = torch.rand(10, 2)
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x.requires_grad = True
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model = ResidualFeedForward(input_dimensions=2, output_dimensions=1)
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model(x)
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l = torch.mean(model(x))
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l.backward()
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assert x.grad.shape == torch.Size([10, 2])
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