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During debug, the call stack in PyCharm display the type and shape of an array variable next to its name (e.g., in np.ndarray and torch.Tensor).
Attached is the call stack in VScode and in PyCharm for two np.ndarrays:
This feature saves a lot of mouse-work (finding the variable in the call stack, opening it, scrolling to the shape, etc.), especially in N-dimensional arrays that are usually used in optimization tasks (ML, DL, etc.).
For example, in matrix multiplication the elements of the intermediate matrices are usually less interesting than the N-dim shapes of the matrices themselves. which are crucial to for the multiplication operation.
Thanks for all your effort and time on the product, I really enjoy working with it.
The text was updated successfully, but these errors were encountered:
Hello
During debug, the call stack in PyCharm display the type and shape of an array variable next to its name (e.g., in
np.ndarray
andtorch.Tensor
).Attached is the call stack in VScode and in PyCharm for two
np.ndarrays
:This feature saves a lot of mouse-work (finding the variable in the call stack, opening it, scrolling to the shape, etc.), especially in N-dimensional arrays that are usually used in optimization tasks (ML, DL, etc.).
For example, in matrix multiplication the elements of the intermediate matrices are usually less interesting than the N-dim shapes of the matrices themselves. which are crucial to for the multiplication operation.
Thanks for all your effort and time on the product, I really enjoy working with it.
The text was updated successfully, but these errors were encountered: