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authorGravatar Petros Mol <pmol@google.com>2018-04-30 14:26:08 -0700
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2018-04-30 14:28:48 -0700
commitfac11a7fbeed495938f2d1eafb75f77c88ebd068 (patch)
tree49ae75561c6bb32d743757eb46dc959f95ca6b97 /tensorflow/contrib/kernel_methods
parent4041ae0fac83060e6d17d26fa3a46ee7b69f9919 (diff)
Removing an obsolete TODO
PiperOrigin-RevId: 194845376
Diffstat (limited to 'tensorflow/contrib/kernel_methods')
-rw-r--r--tensorflow/contrib/kernel_methods/python/mappers/random_fourier_features_test.py6
1 files changed, 1 insertions, 5 deletions
diff --git a/tensorflow/contrib/kernel_methods/python/mappers/random_fourier_features_test.py b/tensorflow/contrib/kernel_methods/python/mappers/random_fourier_features_test.py
index 91929184a2..2ff4d41d75 100644
--- a/tensorflow/contrib/kernel_methods/python/mappers/random_fourier_features_test.py
+++ b/tensorflow/contrib/kernel_methods/python/mappers/random_fourier_features_test.py
@@ -31,7 +31,7 @@ from tensorflow.python.platform import googletest
def _inner_product(x, y):
- """Inner product between tensors x and y.
+ r"""Inner product between tensors x and y.
The input tensors are assumed to be in ROW representation, that is, the method
returns \\(x * y^T\\).
@@ -131,10 +131,6 @@ class RandomFourierFeatureMapperTest(TensorFlowTestCase):
mapped_dim = 5000
stddev = 5.0
- # TODO(sibyl-vie3Poto): Reduce test's running time before moving to third_party. One
- # possible way to speed the test up is to compute both the approximate and
- # the exact kernel matrix directly using matrix operations instead of
- # computing the values for each pair of points separately.
points_shape = [1, input_dim]
points = [
random_ops.random_uniform(shape=points_shape, maxval=1.0)