140 lines
4.7 KiB
Python
140 lines
4.7 KiB
Python
# Copyright 2020 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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"""Tests for tf.function + distribution strategies."""
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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from absl.testing import parameterized
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from tensorflow.python.compat import v2_compat
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from tensorflow.python.distribute import combinations
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from tensorflow.python.distribute import device_util
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from tensorflow.python.distribute import strategy_combinations
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from tensorflow.python.distribute import values
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from tensorflow.python.eager import def_function
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from tensorflow.python.eager import test
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from tensorflow.python.framework import dtypes
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from tensorflow.python.framework import ops
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from tensorflow.python.ops import array_ops
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from tensorflow.python.ops import math_ops
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from tensorflow.python.ops import variables
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class TFFunctionTest(test.TestCase, parameterized.TestCase):
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def setup(self):
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# Clear the state for every test.
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def_function.run_functions_eagerly(False)
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@combinations.generate(
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combinations.combine(
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distribution=strategy_combinations.all_strategies,
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mode=["eager"],
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run_functions_eagerly=[True, False]
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))
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def testDefaultDeviceInsideFunctionWithScope(
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self, distribution, run_functions_eagerly):
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def_function.run_functions_eagerly(run_functions_eagerly)
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try:
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worker = distribution.extended.worker_devices[0]
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except RuntimeError:
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worker = None
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expected_device = (device_util.canonicalize("cpu:0", worker)
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if run_functions_eagerly else "")
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with distribution.scope():
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with ops.device_v2("cpu:0"):
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@def_function.function
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def add():
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one = array_ops.ones([])
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self.assertEqual(expected_device, one.device)
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return one + 1
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add()
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@combinations.generate(
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combinations.combine(
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distribution=strategy_combinations.all_strategies,
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mode=["eager"],
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run_functions_eagerly=[True, False]
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))
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def testDefaultDeviceInsideNestedFunctionWithScope(
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self, distribution, run_functions_eagerly):
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def_function.run_functions_eagerly(run_functions_eagerly)
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try:
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worker = distribution.extended.worker_devices[0]
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except RuntimeError:
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worker = None
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expected_device = (device_util.canonicalize("cpu:0", worker)
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if run_functions_eagerly else "")
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with distribution.scope():
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@def_function.function
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def foo():
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with ops.device("cpu:0"):
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@def_function.function
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def bar():
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one = array_ops.ones([])
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self.assertEqual(expected_device, one.device)
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return one + 1
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bar()
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foo()
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@combinations.generate(
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combinations.combine(
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distribution=strategy_combinations.all_strategies,
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mode=["eager"],
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run_functions_eagerly=[True, False]
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))
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def testReadVariableInsideFunction(self, distribution, run_functions_eagerly):
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# Get devices on which variables will be placed. Default strategy does not
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# define this, so assume cpu:0 in that case.
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try:
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devices = distribution.extended.parameter_devices
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except RuntimeError:
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devices = ["cpu:0"]
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with distribution.scope():
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v = variables.Variable(0.)
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if isinstance(v, values.DistributedVariable):
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for i in range(len(devices)):
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# NOTE: Assigning manually to component variables so we can test
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# different values on different devices. Using .assign on the
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# mirrored variable itself will lead to a synchronization which
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# will prohibit testing different values.
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replica_variable = v._values[i]
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replica_variable.assign(math_ops.cast(i, dtypes.float32))
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@def_function.function
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def read():
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return v.read_value()
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for i, d in enumerate(devices):
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with ops.device(d):
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# Verify that the value from each device is read, when in that device
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# scope.
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self.assertEqual(math_ops.cast(i, dtypes.float32), read())
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if __name__ == "__main__":
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v2_compat.enable_v2_behavior()
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test.main()
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