Apply tf1-tf2 renames to tensorflow/python/kernel_tests docstrings and comments.

No code changes, only doc-strings and comments.

PiperOrigin-RevId: 244372113

tensorflow/python/kernel_tests/array_ops_test.py

@@ -1058,8 +1058,8 @@ class StridedSliceAssignChecker(object):
         var = variables.Variable(self.x)
       sess.run(variables.variables_initializer([var]))
       val = sess.run(var[index].assign(value))
-      # val_copy is used to check that tf.assign works equivalently to the
-      # assign method above.
+      # val_copy is used to check that tf.compat.v1.assign works equivalently
+      # to the assign method above.
       val_copy = sess.run(state_ops.assign(var[index], value))
       valnp = np.copy(self.x_np)
       valnp[index] = np.array(value)

tensorflow/python/kernel_tests/clip_ops_test.py

@@ -486,7 +486,7 @@ class ClipTest(test.TestCase):
 
   def testClipByAverageNormReplacedWithClipByNorm(self):
     # Check clip_by_average_norm(t) is the same as
-    # clip_by_norm(t, clip_norm * tf.to_float(tf.size(t)))
+    # clip_by_norm(t, clip_norm * tf.compat.v1.to_float(tf.size(t)))
     with self.session(use_gpu=True):
       x = constant_op.constant([-3.0, 0.0, 0.0, 4.0, 0.0, 0.0], shape=[2, 3])
       # Average norm of x = sqrt(3^2 + 4^2) / 6 = 0.83333333

tensorflow/python/kernel_tests/constant_op_test.py

@@ -865,7 +865,7 @@ class PlaceholderTest(test.TestCase):
     # Load graph generated from earlier version of TF where
     # placeholder shape was not set.
     #
-    # a = tf.placeholder(tf.float32)
+    # a = tf.compat.v1.placeholder(tf.float32)
     # b = a + 1.0
     #
     # Older graph's default shape is 'shape {}', not 'shape {

tensorflow/python/kernel_tests/distributions/special_math_test.py

@@ -295,8 +295,9 @@ class NdtrGradientTest(test.TestCase):
       # grad_eval.shape = (N, N), with grad_eval[i, j] the partial derivative of
       # the ith output point w.r.t. the jth grid point.  We only expect the
       # diagonal to be nonzero.
-      # TODO(b/31131137): Replace tf.test.compute_gradient with our own custom
-      # gradient evaluation to ensure we correctly handle small function delta.
+      # TODO(b/31131137): Replace tf.compat.v1.test.compute_gradient with our
+      # own custom gradient evaluation to ensure we correctly handle small
+      # function delta.
       grad_eval, _ = gradient_checker.compute_gradient(grid, grid_spec.shape,
                                                        fn(grid),
                                                        grid_spec.shape)

tensorflow/python/kernel_tests/extract_image_patches_grad_test.py

@@ -118,7 +118,8 @@ class ExtractImagePatchesGradTest(test.TestCase):
                                               rates=[1, 1, 1, 1],
                                               padding='SAME')
     # Github issue: #20146
-    # tf.extract_image_patches() gradient very slow at graph construction time
+    # tf.image.extract_image_patches() gradient very slow at graph construction
+    # time
     gradients = gradients_impl.gradients(patches, images)
     # Won't time out.
     self.assertIsNotNone(gradients)

tensorflow/python/kernel_tests/gather_op_test.py

@@ -272,7 +272,8 @@ class GatherTest(test.TestCase, parameterized.TestCase):
           expected=[[[[8, 9], [9, 8]], [[8, 8], [9, 9]]],
                     [[[9, 9], [8, 8]], [[8, 9], [9, 8]]]]),
 
-      # batch_dims=indices.shape.ndims - 1 (equivalent to tf.batch_gather)
+      # batch_dims=indices.shape.ndims - 1
+      # (equivalent to tf.compat.v1.batch_gather)
       dict(  # 2D indices (1 batch dim)
           batch_dims=1,
           params=[[10, 11, 12, 13], [20, 21, 22, 23]],

tensorflow/python/kernel_tests/linalg/linear_operator_identity_test.py

@@ -39,7 +39,7 @@ class LinearOperatorIdentityTest(
 
   @property
   def _dtypes_to_test(self):
-    # TODO(langmore) Test tf.float16 once tf.matrix_solve works in
+    # TODO(langmore) Test tf.float16 once tf.linalg.solve works in
     # 16bit.
     return [dtypes.float32, dtypes.float64, dtypes.complex64, dtypes.complex128]
 
@@ -80,7 +80,7 @@ class LinearOperatorIdentityTest(
       operator.assert_self_adjoint().run()  # Should not fail
 
   def test_float16_matmul(self):
-    # float16 cannot be tested by base test class because tf.matrix_solve does
+    # float16 cannot be tested by base test class because tf.linalg.solve does
     # not work with float16.
     with self.cached_session():
       operator = linalg_lib.LinearOperatorIdentity(
@@ -287,7 +287,7 @@ class LinearOperatorScaledIdentityTest(
 
   @property
   def _dtypes_to_test(self):
-    # TODO(langmore) Test tf.float16 once tf.matrix_solve works in
+    # TODO(langmore) Test tf.float16 once tf.linalg.solve works in
     # 16bit.
     return [dtypes.float32, dtypes.float64, dtypes.complex64, dtypes.complex128]
 
@@ -374,7 +374,7 @@ class LinearOperatorScaledIdentityTest(
         operator.assert_self_adjoint().run()
 
   def test_float16_matmul(self):
-    # float16 cannot be tested by base test class because tf.matrix_solve does
+    # float16 cannot be tested by base test class because tf.linalg.solve does
     # not work with float16.
     with self.cached_session():
       multiplier = rng.rand(3).astype(np.float16)

tensorflow/python/kernel_tests/parse_single_example_op_test.py

@@ -212,7 +212,7 @@ class ParseExampleTest(test.TestCase):
                 "a": parsing_ops.FixedLenFeature((1, 3), dtypes.float32)
             }
         },
-        # TODO(mrry): Consider matching the `tf.parse_example()` error message.
+        # TODO(mrry): Consider matching the `io.parse_example()` error message.
         expected_err=(errors_impl.OpError, "Key: a."))
 
   def testDenseDefaultNoShapeShouldFail(self):
@@ -774,7 +774,7 @@ class ParseExampleTest(test.TestCase):
                         (2, 1, 1), dtype=dtypes.string, allow_missing=True),
             }
         },
-        # TODO(mrry): Consider matching the `tf.parse_example()` error message.
+        # TODO(mrry): Consider matching the `io.parse_example()` error message.
         expected_err=(errors_impl.OpError, "Key: b."))
 
     self._test(

tensorflow/python/kernel_tests/parsing_ops_test.py

@@ -1131,7 +1131,7 @@ class ParseSequenceExampleTest(test.TestCase):
                 expected_context_values=None,
                 expected_feat_list_values=None,
                 expected_err=None):
-    # Test using tf.parse_single_sequence_example
+    # Test using tf.io.parse_single_sequence_example
     self._test(
         kwargs,
         expected_context_values=expected_context_values,

tensorflow/python/kernel_tests/py_func_test.py

@@ -335,8 +335,8 @@ class PyFuncTest(test.TestCase):
 
   @test_util.run_v1_only("b/120545219")
   def testGradientFunction(self):
-    # Input to tf.py_func is necessary, otherwise get_gradient_function()
-    # returns None per default.
+    # Input to tf.compat.v1.py_func is necessary,
+    # otherwise get_gradient_function() returns None per default.
     a = constant_op.constant(0)
     x, = script_ops.py_func(lambda a: 0, [a], [dtypes.int64])
     y, = script_ops.py_func(lambda a: 0, [a], [dtypes.int64], stateful=False)
@@ -353,7 +353,8 @@ class PyFuncTest(test.TestCase):
 
   @test_util.run_v1_only("b/120545219")
   def testParallel(self):
-    # Tests that tf.py_func's can run in parallel if they release the GIL.
+    # Tests that tf.compat.v1.py_func's can run in parallel if they release
+    # the GIL.
     with self.cached_session() as session:
       q = queue.Queue(1)
 

tensorflow/python/kernel_tests/resource_variable_ops_test.py

@@ -1144,7 +1144,8 @@ class ResourceVariableOpsTest(test_util.TensorFlowTestCase,
           expected=[[[[8, 9], [9, 8]], [[8, 8], [9, 9]]],
                     [[[9, 9], [8, 8]], [[8, 9], [9, 8]]]]),
 
-      # batch_dims=indices.shape.ndims - 1 (equivalent to tf.batch_gather)
+      # batch_dims=indices.shape.ndims - 1 (equivalent to
+      # tf.compat.v1.batch_gather)
       dict(  # 2D indices (1 batch dim)
           batch_dims=1,
           params=[[10, 11, 12, 13], [20, 21, 22, 23]],

tensorflow/python/kernel_tests/scatter_nd_ops_test.py

@@ -250,8 +250,8 @@ class StatefulScatterNdTest(test.TestCase):
   # def testBooleanScatterUpdate(self):
   #   with self.session(use_gpu=False) as session:
   #     var = tf.Variable([True, False])
-  #     update0 = tf.scatter_nd_update(var, [[1]], [True])
-  #     update1 = tf.scatter_nd_update(
+  #     update0 = tf.compat.v1.scatter_nd_update(var, [[1]], [True])
+  #     update1 = tf.compat.v1.scatter_nd_update(
   #         var, tf.constant(
   #             [[0]], dtype=tf.int64), [False])
   #     var.initializer.run()

tensorflow/python/kernel_tests/signal/test_util.py

@@ -31,11 +31,11 @@ def grappler_optimize(graph, fetches=None, config_proto=None):
     fetches: An optional list of `Tensor`s to fetch (i.e. not optimize away).
       Grappler uses the 'train_op' collection to look for fetches, so if not
       provided this collection should be non-empty.
-    config_proto: An optional `tf.ConfigProto` to use when rewriting the
-      graph.
+    config_proto: An optional `tf.compat.v1.ConfigProto` to use when rewriting
+      the graph.
 
   Returns:
-    A `tf.GraphDef` containing the rewritten graph.
+    A `tf.compat.v1.GraphDef` containing the rewritten graph.
   """
   if config_proto is None:
     config_proto = config_pb2.ConfigProto()

tensorflow/python/kernel_tests/sparse_tensor_dense_matmul_grad_test.py

@@ -12,7 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ==============================================================================
-"""Tests for the gradient of `tf.sparse_tensor_dense_matmul()`."""
+"""Tests for the gradient of `tf.sparse.sparse_dense_matmul()`."""
 
 from __future__ import absolute_import
 from __future__ import division

tensorflow/python/kernel_tests/summary_ops_test.py

@@ -737,7 +737,7 @@ class SummaryWriterTest(test_util.TensorFlowTestCase):
       with summary_ops.create_file_writer_v2(
           logdir, max_queue=1, flush_millis=999999).as_default():
         get_total = lambda: len(events_from_logdir(logdir))
-        # Note: First tf.Event is always file_version.
+        # Note: First tf.compat.v1.Event is always file_version.
         self.assertEqual(1, get_total())
         summary_ops.write('tag', 1, step=0)
         self.assertEqual(1, get_total())
@@ -769,7 +769,7 @@ class SummaryWriterTest(test_util.TensorFlowTestCase):
           logdir, max_queue=999999, flush_millis=999999)
       with writer.as_default():
         get_total = lambda: len(events_from_logdir(logdir))
-        # Note: First tf.Event is always file_version.
+        # Note: First tf.compat.v1.Event is always file_version.
         self.assertEqual(1, get_total())
         summary_ops.write('tag', 1, step=0)
         summary_ops.write('tag', 1, step=0)