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
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
