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# 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 tensorflow.python.client.graph_util."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow.python.platform
from tensorflow.python.client import graph_util
from tensorflow.python.framework import ops
from tensorflow.python.framework import types
from tensorflow.python.ops import constant_op
from tensorflow.python.ops import data_flow_ops
# pylint: disable=unused-import
from tensorflow.python.ops import math_ops
# pylint: enable=unused-import
from tensorflow.python.ops import state_ops
from tensorflow.python.platform import googletest
class DeviceFunctionsTest(googletest.TestCase):
def testPinToCpu(self):
with ops.Graph().as_default() as g, g.device(graph_util.pin_to_cpu):
const_a = constant_op.constant(5.0)
const_b = constant_op.constant(10.0)
add_c = const_a + const_b
var_v = state_ops.variable_op([], dtype=types.float32)
assign_c_to_v = state_ops.assign(var_v, add_c)
const_string = constant_op.constant("on a cpu")
dynamic_stitch_int_result = data_flow_ops.dynamic_stitch(
[[0, 1, 2], [2, 3]], [[12, 23, 34], [1, 2]])
dynamic_stitch_float_result = data_flow_ops.dynamic_stitch(
[[0, 1, 2], [2, 3]], [[12.0, 23.0, 34.0], [1.0, 2.0]])
self.assertEqual(const_a.device, "/device:CPU:0")
self.assertEqual(const_b.device, "/device:CPU:0")
self.assertEqual(add_c.device, "/device:CPU:0")
self.assertEqual(var_v.device, "/device:CPU:0")
self.assertEqual(assign_c_to_v.device, "/device:CPU:0")
self.assertEqual(const_string.device, "/device:CPU:0")
self.assertEqual(dynamic_stitch_int_result.device, "/device:CPU:0")
self.assertEqual(dynamic_stitch_float_result.device, "/device:CPU:0")
def testPinRequiredOpsOnCPU(self):
with ops.Graph().as_default() as g, g.device(
graph_util.pin_variables_on_cpu):
const_a = constant_op.constant(5.0)
const_b = constant_op.constant(10.0)
add_c = const_a + const_b
var_v = state_ops.variable_op([], dtype=types.float32)
assign_c_to_v = state_ops.assign(var_v, add_c)
dynamic_stitch_int_result = data_flow_ops.dynamic_stitch(
[[0, 1, 2], [2, 3]], [[12, 23, 34], [1, 2]])
dynamic_stitch_float_result = data_flow_ops.dynamic_stitch(
[[0, 1, 2], [2, 3]], [[12.0, 23.0, 34.0], [1.0, 2.0]])
# Non-variable ops shuld not specify a device
self.assertEqual(const_a.device, None)
self.assertEqual(const_b.device, None)
self.assertEqual(add_c.device, None)
# Variable ops specify a device
self.assertEqual(var_v.device, "/device:CPU:0")
self.assertEqual(assign_c_to_v.device, "/device:CPU:0")
def testTwoDeviceFunctions(self):
with ops.Graph().as_default() as g:
var_0 = state_ops.variable_op([1], dtype=types.float32)
with g.device(graph_util.pin_variables_on_cpu):
var_1 = state_ops.variable_op([1], dtype=types.float32)
var_2 = state_ops.variable_op([1], dtype=types.float32)
var_3 = state_ops.variable_op([1], dtype=types.float32)
with g.device(graph_util.pin_variables_on_cpu):
var_4 = state_ops.variable_op([1], dtype=types.float32)
with g.device("/device:GPU:0"):
var_5 = state_ops.variable_op([1], dtype=types.float32)
var_6 = state_ops.variable_op([1], dtype=types.float32)
self.assertEqual(var_0.device, None)
self.assertEqual(var_1.device, "/device:CPU:0")
self.assertEqual(var_2.device, None)
self.assertEqual(var_3.device, None)
self.assertEqual(var_4.device, "/device:CPU:0")
self.assertEqual(var_5.device, "/device:GPU:0")
self.assertEqual(var_6.device, "/device:CPU:0")
def testExplicitDevice(self):
with ops.Graph().as_default() as g:
const_0 = constant_op.constant(5.0)
with g.device("/device:GPU:0"):
const_1 = constant_op.constant(5.0)
with g.device("/device:GPU:1"):
const_2 = constant_op.constant(5.0)
with g.device("/device:CPU:0"):
const_3 = constant_op.constant(5.0)
with g.device("/device:CPU:1"):
const_4 = constant_op.constant(5.0)
with g.device("/job:ps"):
const_5 = constant_op.constant(5.0)
self.assertEqual(const_0.device, None)
self.assertEqual(const_1.device, "/device:GPU:0")
self.assertEqual(const_2.device, "/device:GPU:1")
self.assertEqual(const_3.device, "/device:CPU:0")
self.assertEqual(const_4.device, "/device:CPU:1")
self.assertEqual(const_5.device, "/job:ps")
def testDefaultDevice(self):
with ops.Graph().as_default() as g, g.device(
graph_util.pin_variables_on_cpu):
with g.device("/job:ps"):
const_0 = constant_op.constant(5.0)
with g.device("/device:GPU:0"):
const_1 = constant_op.constant(5.0)
with g.device("/device:GPU:1"):
const_2 = constant_op.constant(5.0)
with g.device("/device:CPU:0"):
const_3 = constant_op.constant(5.0)
with g.device("/device:CPU:1"):
const_4 = constant_op.constant(5.0)
with g.device("/replica:0"):
const_5 = constant_op.constant(5.0)
self.assertEqual(const_0.device, "/job:ps")
self.assertEqual(const_1.device, "/device:GPU:0")
self.assertEqual(const_2.device, "/device:GPU:1")
self.assertEqual(const_3.device, "/device:CPU:0")
self.assertEqual(const_4.device, "/device:CPU:1")
self.assertEqual(const_5.device, "/replica:0")
if __name__ == "__main__":
googletest.main()
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