tf.compat.dimension_value

Compatibility utility required to allow for both V1 and V2 behavior in TF.

tf.compat.dimension_value( dimension: Union['Dimension', int, None] ) -> Union[int, None]

Used in the notebooks

Used in the tutorials

Until the release of TF 2.0, we need the legacy behavior of TensorShape to coexist with the new behavior. This utility is a bridge between the two.

When accessing the value of a TensorShape dimension, use this utility, like this:

# If you had this in your V1 code: value = tensor_shape[i].value # Use `dimension_value` as direct replacement compatible with both V1 & V2: value = dimension_value(tensor_shape[i]) # This would be the V2 equivalent: value = tensor_shape[i] # Warning: this will return the dim value in V2!

dimension Either a Dimension instance, an integer, or None.

A plain value, i.e. an integer or None.