Web Reference: May 9, 2021 · It is a difference in the default behaviour. torch.flatten flattens all dimensions by default, while torch.nn.Flatten flattens all dimensions starting from the second dimension (index 1) by default. The role of the Flatten layer in Keras is super simple: A flatten operation on a tensor reshapes the tensor to have the shape that is equal to the number of elements contained in tensor non including the batch dimension. Note: I used the model.summary() method to provide the output shape and parameter details. 46 You might need to check out numpy.flatten and numpy.ravel, both return a 1-d array from an n-d array. Furthermore, if you're not going to modify the returned 1-d array, I suggest you use numpy.ravel, since it doesn't make a copy of the array, but just return a view of the array, which is much faster than numpy.flatten.
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