TensorFlow 1 version
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View source on GitHub
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Compatibility utility required to allow for both V1 and V2 behavior in TF.
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!
Args | |
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dimension
|
Either a Dimension instance, an integer, or None.
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Returns | |
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| A plain value, i.e. an integer or None. |