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be equivalent to the entire variety of things in the initial tensor (18 within our example). A further matter to watch is always that we utilised a -one in among the spots in Each and every of the shape tuples.

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. 1 important matter to notice is we will only use only one -one in the shape tuple. The remaining values really should be explicitly equipped by us. Else PyTorch will complain by throwing a RuntimeError:

Notice which the returned tensor shares the exact same data. For those who generate a change from the "view" that you are go right here modifying the initial tensor's details:

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