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Calling any of the layers, for example:
z_in = Input(shape=(123,), name="name")
Can return types and argument types be added to the layers?
The text was updated successfully, but these errors were encountered:
In the example above, z_in has a dtype attribute which in this case has value "float32".
z_in
dtype
"float32"
Sorry, something went wrong.
But I mean type information for type hints, currently z_in is marked as Unknown. This is from the blueprint of Input, for example:
Unknown
(function) def Input( shape: Unknown | None = None, batch_size: Unknown | None = None, dtype: Unknown | None = None, sparse: Unknown | None = None, batch_shape: Unknown | None = None, name: Unknown | None = None, tensor: Unknown | None = None, optional: bool = False ) -> (Unknown | Any | list[Unknown])
This makes it difficult: -> (Unknown | Any | list[Unknown])
-> (Unknown | Any | list[Unknown])
@fchollet
mehtamansi29
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Calling any of the layers, for example:
Can return types and argument types be added to the layers?
The text was updated successfully, but these errors were encountered: