Removing run_deprecated_v1 and run_v1_only tags on tests for array_ops

PiperOrigin-RevId: 347267934
Change-Id: Id8d1edfa7ff51c1ba3d9fc496d51a981a19c2ba9

tensorflow/python/kernel_tests/v1_compat_tests/BUILD

@@ -42,15 +42,3 @@ cuda_py_test(
         "//tensorflow/python:session_ops",
     ],
 )
-
-cuda_py_test(
-    name = "array_ops_test",
-    size = "small",
-    srcs = ["array_ops_test.py"],
-    deps = [
-        "//tensorflow/python:array_ops",
-        "//tensorflow/python:framework",
-        "//tensorflow/python:framework_for_generated_wrappers",
-        "//tensorflow/python:framework_test_lib",
-    ],
-)

tensorflow/python/kernel_tests/v1_compat_tests/array_ops_test.py

@@ -1,88 +0,0 @@
-# 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 array_ops that only work in V1."""
-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 errors
-from tensorflow.python.framework import tensor_shape
-from tensorflow.python.framework import test_util
-from tensorflow.python.ops import array_ops
-from tensorflow.python.ops import variables
-from tensorflow.python.platform import test as test_lib
-
-
-class ReverseV2Test(test_util.TensorFlowTestCase):
-
-  # Pure shape inference test only V1
-  @test_util.run_deprecated_v1
-  def testUnknownDims(self):
-    reverse_v2 = array_ops.reverse_v2
-    data_t = array_ops.placeholder(dtypes.float32)
-    axis_known_t = array_ops.placeholder(dtypes.int32, shape=[3])
-    reverse_known_t = reverse_v2(data_t, axis_known_t)
-    # Unlike V1 we cannot know this anymore
-    self.assertIsNone(reverse_known_t.get_shape().ndims)
-
-    axis_unknown_t = array_ops.placeholder(dtypes.int32)
-    reverse_unknown_t = reverse_v2(data_t, axis_unknown_t)
-    self.assertIs(None, reverse_unknown_t.get_shape().ndims)
-
-    data_2d_t = array_ops.placeholder(dtypes.float32, shape=[None, None])
-    axis_2d_t = array_ops.placeholder(dtypes.int32, shape=[3])
-    reverse_2d_t = reverse_v2(data_2d_t, axis_2d_t)
-    self.assertEqual(2, reverse_2d_t.get_shape().ndims)
-
-
-class SequenceMaskTest(test_util.TensorFlowTestCase):
-
-  # Pure shape inference test only V1
-  @test_util.run_deprecated_v1
-  def testUnknownShape(self):
-    lengths = array_ops.placeholder(dtype=dtypes.int32)
-    res = array_ops.sequence_mask(lengths)
-    self.assertEqual(res.shape, None)  # pylint: disable=g-generic-assert
-
-
-class BatchGatherNdTest(test_util.TensorFlowTestCase):
-
-  # Pure shape inference test only V1
-  @test_util.run_deprecated_v1
-  def testUnknownIndices(self):
-    """Tests whether indices with unknown rank works correctly."""
-    params = constant_op.constant(((0, 1, 2),))
-    indices = array_ops.placeholder(dtypes.int32)
-    gather_nd_t = array_ops.gather_nd(params, indices, batch_dims=1)
-    shape = gather_nd_t.get_shape()
-    self.assertIsNone(shape.ndims)
-    self.assertIsNone(tensor_shape.dimension_value(shape[0]))
-
-
-class SliceAssignTest(test_util.TensorFlowTestCase):
-
-  @test_util.run_v1_only("Variables need initialization only in V1")
-  def testUninitialized(self):
-    with self.assertRaisesRegex(
-        errors.FailedPreconditionError,
-        "Attempting to use uninitialized value Variable"):
-      v = variables.VariableV1([1, 2])
-      self.evaluate(v[:].assign([1, 2]))
-
-
-if __name__ == "__main__":
-  test_lib.main()