return F.conv3d( RuntimeError: expected scalar type Double but found Float

This error message indicates that there is a mismatch between the data type of the input tensor and the expected data type by the convolutional layer. The convolutional layer expects the input tensor to be of data type double, but it is finding data type float instead.

To resolve this error, you can convert the input tensor to double data type before passing it to the convolutional layer. You can use the `.double()` function to convert the tensor to double data type. For example:

input_tensor = input_tensor.double()
output_tensor = F.conv3d(input_tensor, weight_tensor, ...)

Alternatively, you can modify the convolutional layer to accept float data type as input by specifying the `dtype` argument. For example:

output_tensor = F.conv3d(input_tensor, weight_tensor, ..., dtype=torch.float32)

Note that you need to modify the `dtype` argument to match the data type of your input tensor.