tf.compat.dimension

TensorFlow 1 version

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

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.compat.dimension_value, tf.compat.v1.dimension_value

tf.compat.dimension_value(
    dimension
)

Used in the notebooks

Used in the tutorials
Learnable Distributions Zoo

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!

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

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

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tf.compat / dimension_value

View aliases

Used in the notebooks

Arguments

Returns