diff options
Diffstat (limited to 'tensorflow/python/kernel_tests/pooling_ops_test.py')
| -rw-r--r-- | tensorflow/python/kernel_tests/pooling_ops_test.py | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/tensorflow/python/kernel_tests/pooling_ops_test.py b/tensorflow/python/kernel_tests/pooling_ops_test.py index 03291bbb0d..53a0d7d806 100644 --- a/tensorflow/python/kernel_tests/pooling_ops_test.py +++ b/tensorflow/python/kernel_tests/pooling_ops_test.py @@ -97,7 +97,7 @@ class PoolingTest(test.TestCase): # Initializes the input tensor with array containing incrementing # numbers from 1. x = [f * 1.0 for f in range(1, total_size + 1)] - with self.test_session(use_gpu=use_gpu) as sess: + with self.test_session(use_gpu=use_gpu): t = constant_op.constant(x, shape=input_sizes, dtype=data_type) if data_format == "NCHW": t = test_util.NHWCToNCHW(t) @@ -497,7 +497,7 @@ class PoolingTest(test.TestCase): strides, error_msg, use_gpu=False): - with self.test_session(use_gpu=use_gpu) as sess: + with self.test_session(use_gpu=use_gpu): t = constant_op.constant(1.0, shape=in_size) with self.assertRaisesRegexp(errors_impl.UnimplementedError, error_msg): t = nn_ops.max_pool( @@ -620,7 +620,7 @@ class PoolingTest(test.TestCase): orig_input = [1.0, 1.0, 1.0, 1.0, 0.0, 1.0, 1.0, 1.0, 1.0] tensor_input = [11.0, 12.0, 13.0, 14.0] tensor_argmax = list(np.array([0, 1, 3, 5], dtype=np.int64)) - with self.test_session(use_gpu=True) as sess: + with self.test_session(use_gpu=True): orig_in = constant_op.constant(orig_input, shape=[1, 3, 3, 1]) t = constant_op.constant(tensor_input, shape=[1, 2, 2, 1]) argmax = constant_op.constant( @@ -952,7 +952,7 @@ class PoolingTest(test.TestCase): expected_input_backprop, input_sizes, output_sizes, window_rows, window_cols, row_stride, col_stride, padding, use_gpu): - with self.test_session(use_gpu=use_gpu) as sess: + with self.test_session(use_gpu=use_gpu): input_tensor = constant_op.constant(input_data, shape=input_sizes) output_tensor = nn_ops.max_pool(input_tensor, [1, window_rows, window_cols, 1], |