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In my opinion a Tensor type is nothing but a 1D array. I think even numpy creates only 1D array for any dimension then uses wrapper function to access elements. (Kind of partitioning) like a shape (1, 10, 20) will have 1 * 10 * 20 = 200 elements in a linear container.
Let's think about possible implementation of Tensor and basic operations we need to do with Tensor.
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