experiments/STT-tensorflow
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

Merge pull request #25161 from Dayananda-V:deprecated_api_patch_1

Browse Source 
PiperOrigin-RevId: 230748461
This commit is contained in:
TensorFlower Gardener 2019-01-24 10:49:02 -08:00
commit 34c412876d
4 changed files with 7 additions and 7 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

4
tensorflow/compiler/aot/tests/make_test_graphs.py
View File

@ -50,7 +50,7 @@ def tfadd_with_ckpt(out_dir):
y = variables.VariableV1(constant_op.constant([0]), name='y_saved') y = variables.VariableV1(constant_op.constant([0]), name='y_saved')
math_ops.add(x, y, name='x_y_sum') math_ops.add(x, y, name='x_y_sum')
init_op = variables.initialize_all_variables() init_op = variables.global_variables_initializer()
saver = saver_lib.Saver(write_version=saver_pb2.SaverDef.V1) saver = saver_lib.Saver(write_version=saver_pb2.SaverDef.V1)
with session.Session() as sess: with session.Session() as sess:
sess.run(init_op) sess.run(init_op)
@ -65,7 +65,7 @@ def tfadd_with_ckpt_saver(out_dir):
y = variables.VariableV1(constant_op.constant([0]), name='y_saved') y = variables.VariableV1(constant_op.constant([0]), name='y_saved')
math_ops.add(x, y, name='x_y_sum') math_ops.add(x, y, name='x_y_sum')
init_op = variables.initialize_all_variables() init_op = variables.global_variables_initializer()
saver = saver_lib.Saver(name='abcprefix', write_version=saver_pb2.SaverDef.V1) saver = saver_lib.Saver(name='abcprefix', write_version=saver_pb2.SaverDef.V1)
with session.Session() as sess: with session.Session() as sess:
sess.run(init_op) sess.run(init_op)

6
tensorflow/compiler/tests/dense_layer_test.py
View File

@ -72,7 +72,7 @@ class DenseLayerTest(test.TestCase):
x = array_ops.placeholder(shape=[None, None, 3], dtype=np.float32) x = array_ops.placeholder(shape=[None, None, 3], dtype=np.float32)
y = layers.dense(x, 3) y = layers.dense(x, 3)
self.evaluate(variables.initialize_all_variables()) self.evaluate(variables.global_variables_initializer())
run_metadata = config_pb2.RunMetadata() run_metadata = config_pb2.RunMetadata()
test_utils.RunWithWarmup( test_utils.RunWithWarmup(
sess, sess,
@ -97,7 +97,7 @@ class DenseLayerTest(test.TestCase):
with jit_scope(): with jit_scope():
y = layers.dense(x, 3) y = layers.dense(x, 3)
self.evaluate(variables.initialize_all_variables()) self.evaluate(variables.global_variables_initializer())
run_metadata = config_pb2.RunMetadata() run_metadata = config_pb2.RunMetadata()
test_utils.RunWithWarmup( test_utils.RunWithWarmup(
sess, sess,
@ -126,7 +126,7 @@ class DenseLayerTest(test.TestCase):
with jit_scope(): with jit_scope():
y = layers.dense(x, 3) y = layers.dense(x, 3)
self.evaluate(variables.initialize_all_variables()) self.evaluate(variables.global_variables_initializer())
run_metadata = config_pb2.RunMetadata() run_metadata = config_pb2.RunMetadata()
test_utils.RunWithWarmup( test_utils.RunWithWarmup(
sess, sess,

2
tensorflow/contrib/boosted_trees/python/kernel_tests/model_ops_test.py
View File

@ -227,7 +227,7 @@ class ModelOpsTest(test_util.TensorFlowTestCase):
tree_ensemble_config=tree_ensemble_config.SerializeToString(), tree_ensemble_config=tree_ensemble_config.SerializeToString(),
name="restore_tree") name="restore_tree")
resources.initialize_resources(resources.shared_resources()).run() resources.initialize_resources(resources.shared_resources()).run()
variables.initialize_all_variables().run() variables.global_variables_initializer().run()
my_saver = saver.Saver() my_saver = saver.Saver()
# Add the second tree and replace the ensemble of the handle. # Add the second tree and replace the ensemble of the handle.

2
tensorflow/contrib/layers/python/layers/feature_column_ops_test.py
View File

@ -1757,7 +1757,7 @@ class WeightedSumTest(test.TestCase):
logits_core = fc_core.linear_model(features, [movies]) logits_core = fc_core.linear_model(features, [movies])
with self.cached_session() as sess: with self.cached_session() as sess:
variables_lib.initialize_all_variables().run() variables_lib.global_variables_initializer().run()
lookup_ops.tables_initializer().run() lookup_ops.tables_initializer().run()
weights = column_to_variable[movies][0] weights = column_to_variable[movies][0]