- python - What does `view ()` do in PyTorch? - Stack Overflow
18 torch Tensor view() Simply put, torch Tensor view() which is inspired by numpy ndarray reshape() or numpy reshape(), creates a new view of the tensor, as long as the new shape is compatible with the shape of the original tensor Let's understand this in detail using a concrete example
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- Can we pass parameters to a view in SQL? - Stack Overflow
A view is a stored sql text of a select query Parameters are out of the discussion When your stored query returns the column where you want to filter with, you can do it in the calling query E g "SELECT * FROM v_emp WHERE emp_id = ?"
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- Whats the difference between `reshape()` and `view()` in PyTorch?
Although both torch view and torch reshape are used to reshape tensors, here are the differences between them As the name suggests, torch view merely creates a view of the original tensor The new tensor will always share its data with the original tensor This means that if you change the original tensor, the reshaped tensor will change and vice versa
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