Method __init__

tensorflow/python/framework/ops.py:1637–1789

r"""Creates an `Operation`. NOTE: This constructor validates the name of the `Operation` (passed as `node_def.name`). Valid `Operation` names match the following regular expression: [A-Za-z0-9.][A-Za-z0-9_.\\-/]* Args: node_def: `node_def_pb2.NodeDef`. `NodeDef` for

(self,
               node_def,
               g,
               inputs=None,
               output_types=None,
               control_inputs=None,
               input_types=None,
               original_op=None,
               op_def=None)

  """

  def __init__(self,
               node_def,
               g,
               inputs=None,
               output_types=None,
               control_inputs=None,
               input_types=None,
               original_op=None,
               op_def=None):
    r"""Creates an `Operation`.

    NOTE: This constructor validates the name of the `Operation` (passed
    as `node_def.name`). Valid `Operation` names match the following
    regular expression:

        [A-Za-z0-9.][A-Za-z0-9_.\\-/]*

    Args:
      node_def: `node_def_pb2.NodeDef`.  `NodeDef` for the `Operation`. Used for
        attributes of `node_def_pb2.NodeDef`, typically `name`, `op`, and
        `device`.  The `input` attribute is irrelevant here as it will be
        computed when generating the model.
      g: `Graph`. The parent graph.
      inputs: list of `Tensor` objects. The inputs to this `Operation`.
      output_types: list of `DType` objects.  List of the types of the `Tensors`
        computed by this operation.  The length of this list indicates the
        number of output endpoints of the `Operation`.
      control_inputs: list of operations or tensors from which to have a control
        dependency.
      input_types: List of `DType` objects representing the types of the tensors
        accepted by the `Operation`.  By default uses `[x.dtype.base_dtype for x
        in inputs]`.  Operations that expect reference-typed inputs must specify
        these explicitly.
      original_op: Optional. Used to associate the new `Operation` with an
        existing `Operation` (for example, a replica with the op that was
        replicated).
      op_def: Optional. The `op_def_pb2.OpDef` proto that describes the op type
        that this `Operation` represents.

    Raises:
      TypeError: if control inputs are not Operations or Tensors,
        or if `node_def` is not a `NodeDef`,
        or if `g` is not a `Graph`,
        or if `inputs` are not tensors,
        or if `inputs` and `input_types` are incompatible.
      ValueError: if the `node_def` name is not valid.
    """
    # For internal use only: `node_def` can be set to a TF_Operation to create
    # an Operation for that op. This is useful for creating Operations for ops
    # indirectly created by C API methods, e.g. the ops created by
    # TF_ImportGraphDef. When `node_def` is a TF_Operation, all optional fields
    # should be None.

    if isinstance(node_def, node_def_pb2.NodeDef):
      if node_def.ByteSize() >= (1 << 31) or node_def.ByteSize() < 0:
        raise ValueError(
            "Cannot create a tensor proto whose content is larger than 2GB.")
      if not _VALID_OP_NAME_REGEX.match(node_def.name):