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Diffstat (limited to 'tensorflow/python/kernel_tests/conv2d_transpose_test.py')
-rw-r--r--tensorflow/python/kernel_tests/conv2d_transpose_test.py8
1 files changed, 4 insertions, 4 deletions
diff --git a/tensorflow/python/kernel_tests/conv2d_transpose_test.py b/tensorflow/python/kernel_tests/conv2d_transpose_test.py
index 27804be65c..cbdd2c5991 100644
--- a/tensorflow/python/kernel_tests/conv2d_transpose_test.py
+++ b/tensorflow/python/kernel_tests/conv2d_transpose_test.py
@@ -37,7 +37,7 @@ from tensorflow.python.platform import test
class Conv2DTransposeTest(test.TestCase):
def testConv2DTransposeSingleStride(self):
- with self.test_session():
+ with self.cached_session():
strides = [1, 1, 1, 1]
# Input, output: [batch, height, width, depth]
@@ -75,7 +75,7 @@ class Conv2DTransposeTest(test.TestCase):
self.assertAllClose(target, value[n, h, w, k])
def testConv2DTransposeSame(self):
- with self.test_session():
+ with self.cached_session():
strides = [1, 2, 2, 1]
# Input, output: [batch, height, width, depth]
@@ -108,7 +108,7 @@ class Conv2DTransposeTest(test.TestCase):
self.assertAllClose(target, value[n, h, w, k])
def testConv2DTransposeValid(self):
- with self.test_session():
+ with self.cached_session():
strides = [1, 2, 2, 1]
# Input, output: [batch, height, width, depth]
@@ -163,7 +163,7 @@ class Conv2DTransposeTest(test.TestCase):
np.random.seed(1) # Make it reproducible.
x_val = np.random.random_sample(x_shape).astype(np.float64)
f_val = np.random.random_sample(f_shape).astype(np.float64)
- with self.test_session():
+ with self.cached_session():
x = constant_op.constant(x_val, name="x", dtype=dtypes.float32)
f = constant_op.constant(f_val, name="f", dtype=dtypes.float32)
output = nn_ops.conv2d_transpose(