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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: m(x)= x ^2+3 The automatic differentiation of PyTorch:
Produces another byproduct model that has forward m'*(x)=2x (i.e. the derivative of m(x))
Can evaluate the derivative m'*(x) for any input number x
Can evaluate the derivative m'*(x) for any input number x, only after having first calculated m(x)
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