The view system returns a tensor Together with the very same facts as the self tensor (meaning that the returned tensor has a similar amount of elements), but with a special form. For instance:
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be equivalent to the full quantity of aspects in the first tensor (18 in our illustration). Yet another matter to look at is always that we used a -one in one of several places in Each and every of the shape tuples.
Yet another interesting factor 1 could possibly observe from the strides tuples would be that the price of the ingredient within the 0th situation is equivalent to the worth with the ingredient in the 1st posture of the shape tuple.
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Here the thing is PyTorch can make a tensor by changing an fundamental block of contiguous memory right into a matrix-like item by including a form and stride attribute: