# Copyright 2015 Google Inc. 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.
# ==============================================================================
"""Tests for device function for replicated training."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import tensorflow as tf


class DeviceSetterTest(tf.test.TestCase):

  _cluster_spec = tf.train.ClusterSpec({
      "ps": ["ps0:2222", "ps1:2222"],
      "worker": ["worker0:2222", "worker1:2222", "worker2:2222"]})

  def testPS2TasksWithCluserSpecClass(self):
    with tf.device(tf.train.replica_device_setter(cluster=self._cluster_spec)):
      v = tf.Variable([1, 2])
      w = tf.Variable([2, 1])
      a = v + w
      self.assertDeviceEqual("/job:ps/task:0", v.device)
      self.assertDeviceEqual("/job:ps/task:0", v.initializer.device)
      self.assertDeviceEqual("/job:ps/task:1", w.device)
      self.assertDeviceEqual("/job:ps/task:1", w.initializer.device)
      self.assertDeviceEqual("/job:worker", a.device)

  def testPS2TasksWithClusterSpecDict(self):
    with tf.device(tf.train.replica_device_setter(
        cluster=self._cluster_spec.as_dict())):
      v = tf.Variable([1, 2])
      w = tf.Variable([2, 1])
      a = v + w
      self.assertDeviceEqual("/job:ps/task:0", v.device)
      self.assertDeviceEqual("/job:ps/task:0", v.initializer.device)
      self.assertDeviceEqual("/job:ps/task:1", w.device)
      self.assertDeviceEqual("/job:ps/task:1", w.initializer.device)
      self.assertDeviceEqual("/job:worker", a.device)

  def testPS2TasksWithClusterDef(self):
    with tf.device(tf.train.replica_device_setter(
        cluster=self._cluster_spec.as_cluster_def())):
      v = tf.Variable([1, 2])
      w = tf.Variable([2, 1])
      a = v + w
      self.assertDeviceEqual("/job:ps/task:0", v.device)
      self.assertDeviceEqual("/job:ps/task:0", v.initializer.device)
      self.assertDeviceEqual("/job:ps/task:1", w.device)
      self.assertDeviceEqual("/job:ps/task:1", w.initializer.device)
      self.assertDeviceEqual("/job:worker", a.device)

  def testPS2TasksWithDevice(self):
    cluster_spec = tf.train.ClusterSpec({
        "sun": ["sun0:2222", "sun1:2222", "sun2:2222"],
        "moon": ["moon0:2222", "moon1:2222"]})

    with tf.device(tf.train.replica_device_setter(
        ps_device="/job:moon", worker_device="/job:sun",
        cluster=cluster_spec.as_cluster_def())):
      v = tf.Variable([1, 2])
      w = tf.Variable([2, 1])
      a = v + w
      self.assertDeviceEqual("/job:moon/task:0", v.device)
      self.assertDeviceEqual("/job:moon/task:0", v.initializer.device)
      self.assertDeviceEqual("/job:moon/task:1", w.device)
      self.assertDeviceEqual("/job:moon/task:1", w.initializer.device)
      self.assertDeviceEqual("/job:sun", a.device)


if __name__ == "__main__":
  tf.test.main()
