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Suppose m is a model that computes the following forward function: m ( x ) = x ^ 2 + 3 The automatic differentiation of
Suppose m is a model that computes the following forward function: mx x The automatic differentiation of PyTorch:
Produces another byproduct model that has forward mxx ie the derivative of mx
Can evaluate the derivative mx for any input number x
Can evaluate the derivative mx for any input number x only after having first calculated mx
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