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I have a 3D numpy array of shape 3,3,3 to which I want to pad 2 layers of values from arrays surrounding it spatially, so that it becomes a 5,5,5 array. What I have done so far using torch cat …
I had a matrix saved as a numpy type, call it “X_before” (for example, its shape is 100*30). Since I want to feed it to an AutoEncoder using Pytorch library, I converted it to torch.tensor …
I am using a custom PyTorch dataclass to load instances from a H5 dataset I created. However, it appears to be incredibly slow when loading samples. I have followed several bits of advice on dealing …
I am trying to install SpConv (spatially sparse convolution library), however when running python3 setup.py bdist_wheel, I get an error which seems to be related to Caffe2 not being able to see cuDNN, …