|View source on GitHub|
Compatibility utility required to allow for both V1 and V2 behavior in TF.
`tf.dimension_value`Compat aliases for migration
See Migration guide for more details.
tf.compat.dimension_value( dimension )
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!
| || Either a |
|A plain value, i.e. an integer or None.|
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Code samples licensed under the Apache 2.0 License.