diff options
Diffstat (limited to 'tensorflow/contrib/sparsemax/python/kernel_tests/sparsemax_loss_test.py')
| -rw-r--r-- | tensorflow/contrib/sparsemax/python/kernel_tests/sparsemax_loss_test.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/tensorflow/contrib/sparsemax/python/kernel_tests/sparsemax_loss_test.py b/tensorflow/contrib/sparsemax/python/kernel_tests/sparsemax_loss_test.py index 89dbcd96f8..c8b4e472c9 100644 --- a/tensorflow/contrib/sparsemax/python/kernel_tests/sparsemax_loss_test.py +++ b/tensorflow/contrib/sparsemax/python/kernel_tests/sparsemax_loss_test.py @@ -159,7 +159,7 @@ class SparsemaxLossTest(test.TestCase): self.assertShapeEqual(q, tf_sparsemax_op) def _test_gradient_against_estimate(self, dtype, random, use_gpu): - """check sparsemax-loss Rop, aginst estimated-loss Rop""" + """check sparsemax-loss Rop, against estimated-loss Rop""" z = random.uniform(low=-3, high=3, size=(test_obs, 10)).astype(dtype) q = np.zeros((test_obs, 10)).astype(dtype) q[np.arange(0, test_obs), np.random.randint(0, 10, size=test_obs)] = 1 @@ -178,7 +178,7 @@ class SparsemaxLossTest(test.TestCase): self.assertLess(err, 1e-4) def _test_gradient_against_numpy(self, dtype, random, use_gpu): - """check sparsemax-loss Rop, aginst numpy Rop""" + """check sparsemax-loss Rop, against numpy Rop""" z = random.uniform(low=-3, high=3, size=(test_obs, 10)) q = np.zeros((test_obs, 10)) q[np.arange(0, test_obs), np.random.randint(0, 10, size=test_obs)] = 1 |