Running ./modules/transforms_demo_2d.ipynb
Checking PEP8 compliance...
Running notebook...

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Traceback (most recent call last):
  File "/opt/conda/bin/papermill", line 8, in <module>
    sys.exit(papermill())
  File "/opt/conda/lib/python3.8/site-packages/click/core.py", line 829, in __call__
    return self.main(*args, **kwargs)
  File "/opt/conda/lib/python3.8/site-packages/click/core.py", line 782, in main
    rv = self.invoke(ctx)
  File "/opt/conda/lib/python3.8/site-packages/click/core.py", line 1066, in invoke
    return ctx.invoke(self.callback, **ctx.params)
  File "/opt/conda/lib/python3.8/site-packages/click/core.py", line 610, in invoke
    return callback(*args, **kwargs)
  File "/opt/conda/lib/python3.8/site-packages/click/decorators.py", line 21, in new_func
    return f(get_current_context(), *args, **kwargs)
  File "/opt/conda/lib/python3.8/site-packages/papermill/cli.py", line 250, in papermill
    execute_notebook(
  File "/opt/conda/lib/python3.8/site-packages/papermill/execute.py", line 122, in execute_notebook
    raise_for_execution_errors(nb, output_path)
  File "/opt/conda/lib/python3.8/site-packages/papermill/execute.py", line 234, in raise_for_execution_errors
    raise error
papermill.exceptions.PapermillExecutionError: 
---------------------------------------------------------------------------
Exception encountered at "In [8]":
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-8-63f386481380> in <module>
     13 # convert both image and segmentation using different interpolation mode
     14 new_img = affine(im_data, (300, 400), mode="bilinear")
---> 15 new_seg = affine(seg_data, (300, 400), mode="nearest")
     16 print(new_img.shape, new_seg.shape)

/__w/MONAI/MONAI/monai/transforms/spatial/array.py in __call__(self, img, spatial_size, mode, padding_mode)
   1327         """
   1328         sp_size = fall_back_tuple(spatial_size or self.spatial_size, img.shape[1:])
-> 1329         grid = self.affine_grid(spatial_size=sp_size)
   1330         return self.resampler(
   1331             img=img, grid=grid, mode=mode or self.mode, padding_mode=padding_mode or self.padding_mode

/__w/MONAI/MONAI/monai/transforms/spatial/array.py in __call__(self, spatial_size, grid)
    991             self.affine = affine
    992 
--> 993         self.affine = torch.as_tensor(np.ascontiguousarray(self.affine), device=self.device)
    994 
    995         grid = torch.tensor(grid) if not isinstance(grid, torch.Tensor) else grid.detach().clone()

/opt/conda/lib/python3.8/site-packages/numpy/core/_asarray.py in ascontiguousarray(a, dtype)
    175 
    176     """
--> 177     return array(a, dtype, copy=False, order='C', ndmin=1)
    178 
    179 

/opt/conda/lib/python3.8/site-packages/torch/tensor.py in __array__(self, dtype)
    599             return handle_torch_function(Tensor.__array__, (self,), self, dtype=dtype)
    600         if dtype is None:
--> 601             return self.numpy()
    602         else:
    603             return self.numpy().astype(dtype, copy=False)

TypeError: can't convert cuda:0 device type tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory first.