diff options
Diffstat (limited to 'tensorflow/contrib/sparsemax/python/kernel_tests/sparsemax_test.py')
| -rw-r--r-- | tensorflow/contrib/sparsemax/python/kernel_tests/sparsemax_test.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/tensorflow/contrib/sparsemax/python/kernel_tests/sparsemax_test.py b/tensorflow/contrib/sparsemax/python/kernel_tests/sparsemax_test.py index eafac1b9ae..82d36ee9cb 100644 --- a/tensorflow/contrib/sparsemax/python/kernel_tests/sparsemax_test.py +++ b/tensorflow/contrib/sparsemax/python/kernel_tests/sparsemax_test.py @@ -188,7 +188,7 @@ class SparsemaxTest(test.TestCase): self.assertShapeEqual(z, tf_sparsemax_op) def _test_gradient_against_estimate(self, dtype, random, use_gpu): - """check sparsemax Rop, aginst estimated Rop""" + """check sparsemax Rop, against estimated Rop""" z = random.uniform(low=-3, high=3, size=(test_obs, 10)).astype(dtype) logits = array_ops.placeholder(dtype, name='z') @@ -204,7 +204,7 @@ class SparsemaxTest(test.TestCase): self.assertLess(err, 1e-4) def _test_gradient_against_numpy(self, dtype, random, use_gpu): - """check sparsemax Rop, aginst numpy Rop""" + """check sparsemax Rop, against numpy Rop""" z = random.uniform(low=-3, high=3, size=(test_obs, 10)).astype(dtype) logits = constant_op.constant(z, name='z') |