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  1. correct and efficient way to flatten array in numpy in python?

    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 …

  2. When would you use `flatten ()` instead of`reshape (-1)`?

    Sep 8, 2019 · flatten returns a copy of the array. reshape will return a view if possible. So, for example, if y = x.reshape(-1) is a view, then modifying y also modifies x:

  3. How to 'Flatten' in Adobe Acrobat Pro DC

    Jan 6, 2016 · We recently purchased Adobe Acrobat Pro DC and I'm trying to figure out how to take a document that I added a stamp to and flatten it so our users cannot delete the stamp from it. I have …

  4. python - Flattening a list of NumPy arrays? - Stack Overflow

    Nov 15, 2015 · Here flatten demonstrates piecewise linear complexity which can be reasonably explained by it making a copy of the initial array compare to constant complexities of ravel and …

  5. How do I make a flat list out of a list of lists? - Stack Overflow

    If your list of lists comes from a nested list comprehension, the problem can be solved more simply/directly by fixing the comprehension; please see How can I get a flat result from a list …

  6. python - Understanding torch.nn.Flatten - Stack Overflow

    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.

  7. What is the role of "Flatten" in Keras? - Stack Overflow

    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 …

  8. How to flatten nested array in javascript? - Stack Overflow

    Dec 3, 2014 · Conclusion: To flatten an arbitrarily nested array in a functional way we just need a one-liner: const flatten = f => traverse(f) (concat) ([]);. All other involved functions are generic and have a …

  9. What is the difference between flatten and ravel functions in numpy?

    The current API is that: flatten always returns a copy. ravel returns a contiguous view of the original array whenever possible. This isn't visible in the printed output, but if you modify the array returned …

  10. How to flatten only some dimensions of a numpy array

    Sep 12, 2013 · Is there a quick way to "sub-flatten" or flatten only some of the first dimensions in a numpy array? For example, given a numpy array of dimensions (50,100,25), the resultant …