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-rw-r--r--tensorflow/python/keras/layers/gru_test.py8
1 files changed, 4 insertions, 4 deletions
diff --git a/tensorflow/python/keras/layers/gru_test.py b/tensorflow/python/keras/layers/gru_test.py
index afef997b00..9988c9fae5 100644
--- a/tensorflow/python/keras/layers/gru_test.py
+++ b/tensorflow/python/keras/layers/gru_test.py
@@ -87,7 +87,7 @@ class GRULayerTest(test.TestCase):
embedding_dim = 4
units = 2
layer_class = keras.layers.GRU
- with self.test_session():
+ with self.cached_session():
model = keras.models.Sequential()
model.add(
keras.layers.Embedding(
@@ -146,7 +146,7 @@ class GRULayerTest(test.TestCase):
def test_regularizers_GRU(self):
embedding_dim = 4
layer_class = keras.layers.GRU
- with self.test_session():
+ with self.cached_session():
layer = layer_class(
5,
return_sequences=False,
@@ -166,7 +166,7 @@ class GRULayerTest(test.TestCase):
def test_constraints_GRU(self):
embedding_dim = 4
layer_class = keras.layers.GRU
- with self.test_session():
+ with self.cached_session():
k_constraint = keras.constraints.max_norm(0.01)
r_constraint = keras.constraints.max_norm(0.01)
b_constraint = keras.constraints.max_norm(0.01)
@@ -186,7 +186,7 @@ class GRULayerTest(test.TestCase):
@tf_test_util.run_in_graph_and_eager_modes
def test_with_masking_layer_GRU(self):
layer_class = keras.layers.GRU
- with self.test_session():
+ with self.cached_session():
inputs = np.random.random((2, 3, 4))
targets = np.abs(np.random.random((2, 3, 5)))
targets /= targets.sum(axis=-1, keepdims=True)