Remove @test_util.run_deprecated_v1 in identity_op_py_test.py

PiperOrigin-RevId: 324083565
Change-Id: I2b7b4f8b5691206b8bcd5f2c332703c81f7bda07
This commit is contained in:
Kibeom Kim 2020-07-30 14:29:25 -07:00 committed by TensorFlower Gardener
parent 161867c062
commit 68b706da27
4 changed files with 64 additions and 24 deletions
tensorflow/python

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@ -2758,6 +2758,7 @@ tf_gen_op_wrapper_private_py(
"//learning/brain/python/ops:__pkg__",
"//tensorflow/compiler/tests:__pkg__",
"//tensorflow/python/kernel_tests:__pkg__",
"//tensorflow/python/kernel_tests/v1_compat_tests:__pkg__",
],
deps = [
"//tensorflow/c/kernels:bitcast_op_lib",

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@ -21,35 +21,25 @@ from __future__ import print_function
import numpy as np
from tensorflow.python.framework import constant_op
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import sparse_tensor
from tensorflow.python.framework import test_util
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import gen_array_ops
from tensorflow.python.ops import variables
from tensorflow.python.platform import test
class IdentityOpTest(test.TestCase):
@test_util.run_deprecated_v1
def testInt32_6(self):
with self.cached_session():
value = array_ops.identity([1, 2, 3, 4, 5, 6]).eval()
value = self.evaluate(array_ops.identity([1, 2, 3, 4, 5, 6]))
self.assertAllEqual(np.array([1, 2, 3, 4, 5, 6]), value)
@test_util.run_deprecated_v1
def testInt32_2_3(self):
with self.cached_session():
inp = constant_op.constant([10, 20, 30, 40, 50, 60], shape=[2, 3])
value = array_ops.identity(inp).eval()
value = self.evaluate(array_ops.identity(inp))
self.assertAllEqual(np.array([[10, 20, 30], [40, 50, 60]]), value)
@test_util.run_deprecated_v1
def testString(self):
source = [b"A", b"b", b"C", b"d", b"E", b"f"]
with self.cached_session():
value = array_ops.identity(source).eval()
value = self.evaluate(array_ops.identity(source))
self.assertAllEqual(source, value)
def testIdentityShape(self):
@ -63,16 +53,6 @@ class IdentityOpTest(test.TestCase):
self.assertEqual(shape,
array_ops.identity(np.array(array_2x3)).get_shape())
@test_util.run_v1_only("b/120545219")
def testRefIdentityShape(self):
with self.cached_session():
shape = [2, 3]
tensor = variables.VariableV1(
constant_op.constant(
[[1, 2, 3], [6, 5, 4]], dtype=dtypes.int32))
self.assertEqual(shape, tensor.get_shape())
self.assertEqual(shape, gen_array_ops.ref_identity(tensor).get_shape())
def testCompositeTensor(self):
original = sparse_tensor.SparseTensor([[3]], [1.0], [100])
copied = array_ops.identity(original)

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@ -0,0 +1,17 @@
load("//tensorflow:tensorflow.bzl", "tf_py_test")
package(
default_visibility = ["//tensorflow:internal"],
licenses = ["notice"], # Apache 2.0
)
tf_py_test(
name = "identity_op_py_test",
size = "small",
srcs = ["identity_op_py_test.py"],
deps = [
"//tensorflow/python:array_ops",
"//tensorflow/python:array_ops_gen",
"//tensorflow/python:variables",
],
)

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@ -0,0 +1,42 @@
# Copyright 2020 The TensorFlow Authors. 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 IdentityOp."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.framework import constant_op
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import test_util
from tensorflow.python.ops import gen_array_ops
from tensorflow.python.ops import variables
from tensorflow.python.platform import test
class IdentityOpTest(test.TestCase):
@test_util.run_v1_only("Don't need to test VariableV1 in TF2.")
def testRefIdentityShape(self):
shape = [2, 3]
tensor = variables.VariableV1(
constant_op.constant(
[[1, 2, 3], [6, 5, 4]], dtype=dtypes.int32))
self.assertEqual(shape, tensor.get_shape())
self.assertEqual(shape, gen_array_ops.ref_identity(tensor).get_shape())
if __name__ == "__main__":
test.main()