Method __call__

tensorflow/python/eager/function.py:1058–1081

Executes the wrapped function. Args: *args: Tensors or Variables. Positional arguments are only accepted when they correspond one-to-one with arguments of the traced Python function. **kwargs: Tensors or Variables specified by name. When `get_concrete_function` was c

(self, *args, **kwargs)

        func_graph, attrs, self._garbage_collector)

  def __call__(self, *args, **kwargs):
    """Executes the wrapped function.

    Args:
      *args: Tensors or Variables. Positional arguments are only accepted when
        they correspond one-to-one with arguments of the traced Python function.
      **kwargs: Tensors or Variables specified by name. When
        `get_concrete_function` was called to create this `ConcreteFunction`,
        each Tensor input was given a name, defaulting to the name of the Python
        function's argument but possibly overridden by the `name=` argument to
        `tf.TensorSpec`. These names become the argument names for the concrete
        function.

    Returns:
      The result of applying the TF function on the given Tensors.

    Raises:
      AssertionError: If this `ConcreteFunction` was not created through
        `get_concrete_function`.
      ValueError: If arguments contains anything other than Tensors or
        Variables.
      TypeError: For invalid positional/keyword argument combinations.
    """
    return self._call_impl(args, kwargs)

  def _call_impl(self, args, kwargs, cancellation_manager=None):
    """See `__call__` for details."""