diff options
Diffstat (limited to 'tensorflow/python/kernel_tests/init_ops_test.py')
| -rw-r--r-- | tensorflow/python/kernel_tests/init_ops_test.py | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/tensorflow/python/kernel_tests/init_ops_test.py b/tensorflow/python/kernel_tests/init_ops_test.py index 927ca012ae..f6097ad489 100644 --- a/tensorflow/python/kernel_tests/init_ops_test.py +++ b/tensorflow/python/kernel_tests/init_ops_test.py @@ -830,7 +830,7 @@ class ConvolutionOrthogonal1dInitializerTest(test.TestCase): tol = 1e-3 gain = 3.14 # Check orthogonality/isometry by computing the ratio between - # the 2-norms of the inputs and ouputs. + # the 2-norms of the inputs and outputs. for kernel_size in [[1], [2], [3], [4], [5], [6]]: convolution = convolutional.conv1d inputs = random_ops.random_normal(shape, dtype=dtype) @@ -925,7 +925,7 @@ class ConvolutionOrthogonal2dInitializerTest(test.TestCase): tol = 1e-3 gain = 3.14 # Check orthogonality/isometry by computing the ratio between - # the 2-norms of the inputs and ouputs. + # the 2-norms of the inputs and outputs. for kernel_size in [[1, 1], [2, 2], [3, 3], [4, 4], [5, 5]]: convolution = convolutional.conv2d inputs = random_ops.random_normal(shape, dtype=dtype) @@ -1050,7 +1050,7 @@ class ConvolutionOrthogonal3dInitializerTest(test.TestCase): tol = 1e-3 gain = 3.14 # Check orthogonality/isometry by computing the ratio between - # the 2-norms of the inputs and ouputs. + # the 2-norms of the inputs and outputs. for kernel_size in [[1, 1, 1], [2, 2, 2], [3, 3, 3]]: convolution = convolutional.conv3d inputs = random_ops.random_normal(shape, dtype=dtype) |