Summary:
`warnings.warn` is used commonly thoughout `nn.functional`, so this adds
support for it by forwarding its arguments to `print`
Pull Request resolved: https://github.com/pytorch/pytorch/pull/12964
Differential Revision: D10559427
Pulled By: driazati
fbshipit-source-id: 5b591f6f446c906418f9fc7730c17e301f263d9b
Summary:
... they are basically the same class and I didn't see it in the initial PR. I also got resolvers back onto std::functions by keeping the function_table logic local to defineMethodInModules.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/12589
Differential Revision: D10383103
Pulled By: zdevito
fbshipit-source-id: 1b0a85eb4f112bc28256cac44446d671d803d3a2
Summary:
This functionality replaces the Scalar-Tensor builtin operators,
with builtin functions.
Builtin functions are used in place of operators where one operator
can be defined using a composition of another. This simplifies later
optimization passes by allowing us to have fewer operator.
In the future, builtin functions can be used for other purposes.
For example, we can define derivative functions as code rather than
building graphs.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/12141
Reviewed By: ezyang
Differential Revision: D10088065
Pulled By: zdevito
fbshipit-source-id: a2acb06346e649c4c8a2fe423b420871161c21cf
