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エラー全文の追記
test
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```bash
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================================================================================================ FAILURES =================================================================================================
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________________________________________________________________________________________ test_run_backbone_on_gpu _________________________________________________________________________________________
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@pytest.mark.skipif(not torch.cuda.is_available(), reason="There is no GPU")
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def test_run_backbone_on_gpu():
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back = Backbone()
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dummy_input = torch.from_numpy(np.random.random((1, 3, 224, 224))).to(
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"cuda", dtype=torch.float
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)
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back = back.cuda()
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> dummy_output = back(dummy_input)
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tests/test_model.py:43:
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_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
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.venv/lib/python3.8/site-packages/torch/nn/modules/module.py:722: in _call_impl
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result = self.forward(*input, **kwargs)
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src/model.py:16: in forward
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return model(x)
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.venv/lib/python3.8/site-packages/torch/nn/modules/module.py:722: in _call_impl
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result = self.forward(*input, **kwargs)
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.venv/lib/python3.8/site-packages/torchvision/models/_utils.py:63: in forward
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x = module(x)
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.venv/lib/python3.8/site-packages/torch/nn/modules/module.py:722: in _call_impl
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result = self.forward(*input, **kwargs)
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.venv/lib/python3.8/site-packages/torch/nn/modules/conv.py:419: in forward
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return self._conv_forward(input, self.weight)
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_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
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self = Conv2d(3, 64, kernel_size=(7, 7), stride=(2, 2), padding=(3, 3), bias=False)
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input = tensor([[[[0.1313, 0.0234, 0.7552, ..., 0.3833, 0.4139, 0.8594],
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[0.1304, 0.7056, 0.5246, ..., 0.4825, 0.6..., 0.3003, 0.3479, 0.5493],
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[0.3813, 0.9502, 0.2774, ..., 0.6596, 0.5868, 0.9608]]]],
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device='cuda:0')
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weight = Parameter containing:
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tensor([[[[-4.6613e-02, -9.6919e-04, 8.5332e-03, ..., 2.0174e-02,
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9.1100e-03, -4....[-2.4699e-02, 1.7219e-02, -1.9792e-02, ..., -7.8135e-03,
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-3.0772e-02, -1.7609e-02]]]], requires_grad=True)
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def _conv_forward(self, input, weight):
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if self.padding_mode != 'zeros':
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return F.conv2d(F.pad(input, self._reversed_padding_repeated_twice, mode=self.padding_mode),
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weight, self.bias, self.stride,
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_pair(0), self.dilation, self.groups)
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> return F.conv2d(input, weight, self.bias, self.stride,
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self.padding, self.dilation, self.groups)
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E RuntimeError: Input type (torch.cuda.FloatTensor) and weight type (torch.FloatTensor) should be the same
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.venv/lib/python3.8/site-packages/torch/nn/modules/conv.py:415: RuntimeError
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========================================================================================= short test summary info =========================================================================================
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FAILED tests/test_model.py::test_run_backbone_on_gpu - RuntimeError: Input type (torch.cuda.FloatTensor) and weight type (torch.FloatTensor) should be the same
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```
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