I'd be interested in using this the mechanisms defined in this PEP to define rank-generic Tensor types in TensorFlow, which are important in specifying `tf.function` signatures in a Pythonic way, using type annotations (rather than the custom `input_signature` mechanism we have today - see this issue: https://github.com/tensorflow/tensorflow/issues/31579). Variadic generics are among the last few missing pieces to create an elegant set of type definitions for tensors and shapes.
Best, Dan Moldovan Senior Software Engineer, TensorFlow Dev Team _______________________________________________ Python-Dev mailing list -- python-dev@python.org To unsubscribe send an email to python-dev-le...@python.org https://mail.python.org/mailman3/lists/python-dev.python.org/ Message archived at https://mail.python.org/archives/list/python-dev@python.org/message/HTCARTYYCHETAMHB6OVRNR5EW5T2CP4J/ Code of Conduct: http://python.org/psf/codeofconduct/
