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.
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.
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.
A numpy ndarray containing the constant value of the given
or None if it cannot be calculated.
TypeError: if tensor is not an ops.Tensor.