test_legacy_nn.py 文件源码

def test_Dropout(self):
        p = 0.2
        input = torch.Tensor(1000).fill_(1 - p)

        module = nn.Dropout(p)
        output = module.forward(input)
        self.assertLess(abs(output.mean() - (1 - p)), 0.05)
        gradInput = module.backward(input, input)
        self.assertLess(abs(gradInput.mean() - (1 - p)), 0.05)

        module = nn.Dropout(p, True)
        output = module.forward(input.clone())
        self.assertLess(abs(output.mean() - (1 - p)), 0.05)
        gradInput = module.backward(input.clone(), input.clone())
        self.assertLess(abs(gradInput.mean() - (1 - p)), 0.05)

        # Check that these don't raise errors
        module.__repr__()
        str(module)