# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Python wrapper for prefetching_ops."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

from tensorflow.python.data.experimental.ops import prefetching_ops
from tensorflow.python.util import deprecation


@deprecation.deprecated(None,
                        "Use `tf.data.experimental.prefetch_to_device(...)`.")
def prefetch_to_device(device, buffer_size=None):
  """A transformation that prefetches dataset values to the given `device`.

  NOTE: Although the transformation creates a `tf.data.Dataset`, the
  transformation must be the final `Dataset` in the input pipeline.

  Args:
    device: A string. The name of a device to which elements will be prefetched.
    buffer_size: (Optional.) The number of elements to buffer on `device`.
      Defaults to an automatically chosen value.

  Returns:
    A `Dataset` transformation function, which can be passed to
    `tf.data.Dataset.apply`.
  """
  return prefetching_ops.prefetch_to_device(device, buffer_size)


@deprecation.deprecated(None, "Use `tf.data.experimental.copy_to_device(...)`.")
def copy_to_device(target_device, source_device="/cpu:0"):
  """A transformation that copies dataset elements to the given `target_device`.

  Args:
    target_device: The name of a device to which elements will be copied.
    source_device: The original device on which `input_dataset` will be placed.

  Returns:
    A `Dataset` transformation function, which can be passed to
    `tf.data.Dataset.apply`.
  """
  return prefetching_ops.copy_to_device(target_device, source_device)