Remove @test_util.run_deprecated_v1 in identity_op_py_test.py
PiperOrigin-RevId: 324083565 Change-Id: I2b7b4f8b5691206b8bcd5f2c332703c81f7bda07
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161867c062
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tensorflow/python
@ -2758,6 +2758,7 @@ tf_gen_op_wrapper_private_py(
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"//learning/brain/python/ops:__pkg__",
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"//tensorflow/compiler/tests:__pkg__",
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"//tensorflow/python/kernel_tests:__pkg__",
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"//tensorflow/python/kernel_tests/v1_compat_tests:__pkg__",
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],
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deps = [
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"//tensorflow/c/kernels:bitcast_op_lib",
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@ -21,35 +21,25 @@ from __future__ import print_function
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import numpy as np
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from tensorflow.python.framework import constant_op
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from tensorflow.python.framework import dtypes
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from tensorflow.python.framework import sparse_tensor
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from tensorflow.python.framework import test_util
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from tensorflow.python.ops import array_ops
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from tensorflow.python.ops import gen_array_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 IdentityOpTest(test.TestCase):
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@test_util.run_deprecated_v1
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def testInt32_6(self):
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with self.cached_session():
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value = array_ops.identity([1, 2, 3, 4, 5, 6]).eval()
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value = self.evaluate(array_ops.identity([1, 2, 3, 4, 5, 6]))
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self.assertAllEqual(np.array([1, 2, 3, 4, 5, 6]), value)
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@test_util.run_deprecated_v1
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def testInt32_2_3(self):
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with self.cached_session():
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inp = constant_op.constant([10, 20, 30, 40, 50, 60], shape=[2, 3])
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value = array_ops.identity(inp).eval()
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value = self.evaluate(array_ops.identity(inp))
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self.assertAllEqual(np.array([[10, 20, 30], [40, 50, 60]]), value)
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@test_util.run_deprecated_v1
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def testString(self):
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source = [b"A", b"b", b"C", b"d", b"E", b"f"]
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with self.cached_session():
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value = array_ops.identity(source).eval()
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value = self.evaluate(array_ops.identity(source))
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self.assertAllEqual(source, value)
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def testIdentityShape(self):
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@ -63,16 +53,6 @@ class IdentityOpTest(test.TestCase):
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self.assertEqual(shape,
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array_ops.identity(np.array(array_2x3)).get_shape())
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@test_util.run_v1_only("b/120545219")
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def testRefIdentityShape(self):
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with self.cached_session():
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shape = [2, 3]
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tensor = variables.VariableV1(
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constant_op.constant(
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[[1, 2, 3], [6, 5, 4]], dtype=dtypes.int32))
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self.assertEqual(shape, tensor.get_shape())
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self.assertEqual(shape, gen_array_ops.ref_identity(tensor).get_shape())
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def testCompositeTensor(self):
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original = sparse_tensor.SparseTensor([[3]], [1.0], [100])
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copied = array_ops.identity(original)
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17
tensorflow/python/kernel_tests/v1_compat_tests/BUILD
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17
tensorflow/python/kernel_tests/v1_compat_tests/BUILD
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@ -0,0 +1,17 @@
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load("//tensorflow:tensorflow.bzl", "tf_py_test")
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package(
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default_visibility = ["//tensorflow:internal"],
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licenses = ["notice"], # Apache 2.0
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)
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tf_py_test(
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name = "identity_op_py_test",
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size = "small",
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srcs = ["identity_op_py_test.py"],
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deps = [
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"//tensorflow/python:array_ops",
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"//tensorflow/python:array_ops_gen",
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"//tensorflow/python:variables",
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],
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)
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@ -0,0 +1,42 @@
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# 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 IdentityOp."""
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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.framework import constant_op
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from tensorflow.python.framework import dtypes
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from tensorflow.python.framework import test_util
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from tensorflow.python.ops import gen_array_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 IdentityOpTest(test.TestCase):
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@test_util.run_v1_only("Don't need to test VariableV1 in TF2.")
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def testRefIdentityShape(self):
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shape = [2, 3]
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tensor = variables.VariableV1(
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constant_op.constant(
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[[1, 2, 3], [6, 5, 4]], dtype=dtypes.int32))
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self.assertEqual(shape, tensor.get_shape())
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self.assertEqual(shape, gen_array_ops.ref_identity(tensor).get_shape())
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if __name__ == "__main__":
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test.main()
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