code: def decode_raw_v1(
      input_bytes=None,
      out_type=None,
      little_endian=True,
      name=None,
      bytes=None,  # pylint: disable=redefined-builtin
  ):
      """Convert raw byte strings into tensors.
  
      Args:
        input_bytes:
          Each element of the input Tensor is converted to an array of bytes.
        out_type:
          `DType` of the output. Acceptable types are `half`, `float`, `double`,
          `int32`, `uint16`, `uint8`, `int16`, `int8`, `int64`.
        little_endian:
          Whether the `input_bytes` data is in little-endian format. Data will be
          converted into host byte order if necessary.
        name: A name for the operation (optional).
        bytes: Deprecated parameter. Use `input_bytes` instead.
  
      Returns:
        A `Tensor` object storing the decoded bytes.
      """
      input_bytes = deprecation.deprecated_argument_lookup(
          "input_bytes", input_bytes, "bytes", bytes
      )
  
      # out_type is a required positional argument in the original API, and had to
      # be changed to a keyword argument in order to facilitate the transition from
      # the reserved named `bytes` to `input_bytes`. Ensure it's still set.
      if out_type is None:
          raise ValueError(
              "decode_raw_v1() missing 1 positional argument: 'out_type'"
          )
  
      return gen_parsing_ops.decode_raw(
          input_bytes, out_type, little_endian=little_endian, name=name
      )
  
imports: from tensorflow.python.framework import ops
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import control_flow_assert
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import gen_parsing_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import parsing_config
  from tensorflow.python.ops import parsing_grad
  from tensorflow.python.ops.gen_parsing_ops import *
  from tensorflow.python.util import deprecation
  from tensorflow.python.util import dispatch
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 12 for calling a global function with example usage: decode_raw_v1(input_bytes, out_type, little_endian, name, bytes) and returns: gen_parsing_ops