Works around the fact that we can't compile conditional initialization with XLA. It still won't work if variable initialization depends on function arguments. Also fixes an issue where get_concrete_function would sometimes clobber variables which had already been initialized. PiperOrigin-RevId: 231846163
50 lines
1.7 KiB
Python
50 lines
1.7 KiB
Python
# Copyright 2019 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.compiler.tests import xla_test
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from tensorflow.python.eager import def_function
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from tensorflow.python.framework import constant_op
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from tensorflow.python.framework import ops
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from tensorflow.python.ops import variables
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from tensorflow.python.platform import test
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class DefFunctionTests(xla_test.XLATestCase):
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def testVarInitializedInFunction(self):
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with self.test_scope():
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v_holder = []
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@def_function.function
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def add_var(x):
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if not v_holder:
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v = variables.Variable([1., 2.])
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v_holder.append(v)
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already_initialized = variables.Variable(3.)
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with ops.init_scope():
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already_initialized.assign(10.)
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v_holder.append(already_initialized)
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return v_holder[0] + v_holder[1] + x
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self.assertAllClose([13., 14.], add_var(constant_op.constant(2.)))
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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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