Web Reference: Feb 21, 2018 · What does x.contiguous () do for a tensor x? A one-dimensional array [0, 1, 2, 3, 4] is contiguous if its items are laid out in memory next to each other just like ... Nov 18, 2014 · A contiguous array is just an array stored in an unbroken block of memory: to access the next value in the array, we just move to the next memory address. Consider the 2D array arr = np.arange (12).reshape (3,4). It looks like this: In the computer's memory, the values of arr are stored like this: Jan 8, 2019 · In general, if you have non-contiguous tensor t, you can make it contiguous by calling t = t.contiguous(). If t is contiguous, call to t.contiguous() is essentially a no-op, so you can do that without risking a big performance hit.
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