# tf.contrib.util.constant_value

tf.contrib.util.constant_value(
tensor,
partial=False
)


See the guide: Utilities (contrib) > Miscellaneous Utility Functions

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

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

TODO(mrry): Consider whether this function should use a registration mechanism like gradients and ShapeFunctions, so that it is easily extensible.

NOTE: 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.