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-rw-r--r--tensorflow/python/tools/freeze_graph_test.py6
1 files changed, 3 insertions, 3 deletions
diff --git a/tensorflow/python/tools/freeze_graph_test.py b/tensorflow/python/tools/freeze_graph_test.py
index e38945fabc..5dc14a6961 100644
--- a/tensorflow/python/tools/freeze_graph_test.py
+++ b/tensorflow/python/tools/freeze_graph_test.py
@@ -60,7 +60,7 @@ class FreezeGraphTest(test_util.TensorFlowTestCase):
# We'll create an input graph that has a single variable containing 1.0,
# and that then multiplies it by 2.
with ops.Graph().as_default():
- variable_node = variables.Variable(1.0, name="variable_node")
+ variable_node = variables.VariableV1(1.0, name="variable_node")
output_node = math_ops.multiply(variable_node, 2.0, name="output_node")
sess = session.Session()
init = variables.global_variables_initializer()
@@ -138,7 +138,7 @@ class FreezeGraphTest(test_util.TensorFlowTestCase):
features = parsing_ops.parse_example(examples, feature_configs)
feature = features[feature_name]
- variable_node = variables.Variable(1.0, name="variable_node")
+ variable_node = variables.VariableV1(1.0, name="variable_node")
scores = math_ops.multiply(variable_node, feature, name="output_node")
class_feature = array_ops.fill(array_ops.shape(feature),
"class_%s" % feature_name)
@@ -174,7 +174,7 @@ class FreezeGraphTest(test_util.TensorFlowTestCase):
output_graph_filename = os.path.join(tmp_dir, "output_graph.pb")
with ops.Graph().as_default():
- variable_node = variables.Variable(1.0, name="variable_node")
+ variable_node = variables.VariableV1(1.0, name="variable_node")
output_node = math_ops.multiply(variable_node, 2.0, name="output_node")
sess = session.Session()
init = variables.global_variables_initializer()