dmlc / minpy

NumPy interface with mixed backend execution

Home Page:https://minpy.readthedocs.io/en/latest/

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Typo Error in the Autograd Section of MinPy Tutorial

X-czh opened this issue · comments

Hi! I was reading the MinPy tutorial, and found a typo error in the Autograd section, which is shown in the attached picture:

default

Here, it should be d_3_foo = grad(d_foo2) instead of d_3_foo = grad(d_foo), as d_3_foo is the derivative of d_2_foo, and is therefore a second order derivative of d_foo.

Thank you and sorry for the late response. It's corrected now.