tf.get_static

TensorFlow 1 version

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Returns the constant value of the given tensor, if efficiently calculable.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.get_static_value

tf.get_static_value(
    tensor, partial=False
)

Used in the notebooks

Used in the tutorials
Bayesian Modeling with Joint Distribution

This function attempts to partially evaluate the given tensor, and returns its value as a numpy ndarray if this succeeds.

Compatibility(V1): If constant_value(tensor) returns a non-None result, it will no longer be possible to feed a different value for tensor. This allows the result of this function to influence the graph that is constructed, and permits static shape optimizations.

Args
`tensor`	The Tensor to be evaluated.
`partial`	If True, the returned numpy array is allowed to have partially evaluated values. Values that can't be evaluated will be None.

Returns
A numpy ndarray containing the constant value of the given `tensor`, or None if it cannot be calculated.

Raises
`TypeError`	if tensor is not an ops.Tensor.

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tf / get_static_value

View aliases

Used in the notebooks

Args

Returns

Raises