Method _validate

tensorflow/python/tpu/tpu_feed.py:200–209

Checks that the configuration is self-consistent. Raises: ValueError: if the shapes and sharding policies don't match.

(self)

    self._validate()

  def _validate(self):
    """Checks that the configuration is self-consistent.

    Raises:
      ValueError: if the shapes and sharding policies don't match.
    """
    if self.tuple_shapes is not None:
      for (policy, shape) in zip(self._sharding_policies, self._tuple_shapes):
        # Raise an error if the policy is incompatible with the shape.
        _ = policy.get_sharded_shape(shape)

  @property
  def number_of_tuple_elements(self):