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金铨达配资Compatibility utility required to allow for both V1 and V2 behavior in TF.


  • tf.compat.v1.compat.dimension_value
  • tf.compat.v1.dimension_value
  • tf.compat.v2.compat.dimension_value

Until the release of TF 2.0, we need the legacy behavior of TensorShape金铨达配资 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.

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