110 lines
3.9 KiB
Python
110 lines
3.9 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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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 tensorflow.python.distribute import device_util
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from tensorflow.python.distribute import packed_distributed_variable
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from tensorflow.python.eager import context
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from tensorflow.python.eager import def_function
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from tensorflow.python.framework import config
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from tensorflow.python.framework import ops
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from tensorflow.python.ops import math_ops
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from tensorflow.python.ops import resource_variable_ops
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from tensorflow.python.platform import test
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class PackedDistributedVariableTest(test.TestCase):
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def setUp(self):
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super(PackedDistributedVariableTest, self).setUp()
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cpus = config.list_physical_devices('CPU')
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# Set 2 virtual CPUs
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config.set_logical_device_configuration(cpus[0], [
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context.LogicalDeviceConfiguration(),
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context.LogicalDeviceConfiguration(),
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])
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def testPackedVariable(self):
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with ops.device('/cpu:0'):
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v0 = resource_variable_ops.ResourceVariable(1.0, name='var0')
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with ops.device('/cpu:1'):
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v1 = resource_variable_ops.ResourceVariable(2.0, name='var1')
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packed_var = packed_distributed_variable.PackedDistributedVariable([v0, v1])
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self.assertFalse(packed_var.handle.is_packed)
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self.assertTrue(packed_var.is_initialized)
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with ops.device('/cpu:0'):
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self.assertAllEqual(packed_var.get_var_on_current_device(), v0)
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val0 = packed_var.assign(2.0).assign_add(1.0)
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self.assertAllEqual(val0, 3.0)
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with ops.device('/cpu:1'):
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self.assertAllEqual(packed_var.get_var_on_current_device(), v1)
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val0 = packed_var.assign(2.0).assign_add(1.0)
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self.assertAllEqual(val0, 3.0)
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@def_function.function
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def update_var():
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self.assertTrue(packed_var.handle.is_packed)
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with ops.device('/cpu:0'):
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packed_var.assign_add(3.0).assign_sub(1.0)
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read0 = packed_var.value()
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with ops.device('/cpu:1'):
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packed_var.assign_sub(4.0).assign_sub(2.0)
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read1 = packed_var.value()
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return read0, read1
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self.assertAllEqual(update_var(), (5.0, -3.0))
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def testPackedVarAndDevice(self):
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device0 = device_util.canonicalize('/cpu:0')
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device1 = device_util.canonicalize('/cpu:1')
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with ops.device(device0):
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v0 = resource_variable_ops.ResourceVariable(1.0)
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with ops.device(device1):
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v1 = resource_variable_ops.ResourceVariable(2.0)
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packed_var = packed_distributed_variable.PackedDistributedVariable([v0, v1])
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packed_var0 = packed_distributed_variable.PackedVarAndDevice(
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packed_var, device0)
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self.assertFalse(packed_var0.handle.is_packed)
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self.assertAllEqual(math_ops.mul(packed_var0, 2.0), 2.0)
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packed_var1 = packed_distributed_variable.PackedVarAndDevice(
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packed_var, device1)
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self.assertAllEqual(packed_var1.assign(3.0), 3.0)
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@def_function.function
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def func():
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self.assertTrue(packed_var.handle.is_packed)
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var0 = packed_distributed_variable.PackedVarAndDevice(packed_var, device0)
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var0.assign_add(3.0)
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var1 = packed_distributed_variable.PackedVarAndDevice(packed_var, device1)
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return var0.value(), math_ops.add(var1, 2.0)
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self.assertAllEqual(func(), (4.0, 5.0))
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if __name__ == '__main__':
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ops.enable_eager_execution()
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test.main()
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