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authorGravatar A. Unique TensorFlower <nobody@tensorflow.org>2016-01-15 11:03:01 -0800
committerGravatar Manjunath Kudlur <keveman@gmail.com>2016-01-15 12:39:38 -0800
commit409c68eb2531f450680233c437b219237b0609e2 (patch)
tree1fe6b5a25d5d6dd662f2eb43bc15157dd00fcf60 /tensorflow/g3doc/tutorials/pdes/index.md
parent42d705408beb0d7a45798fa22df5684296716a38 (diff)
Fix the split-on-underscore and show-data-download-links options.
The regressions were introduced in cl/110462065 Also fix the tf-tensorboard/demo/index.html file (minor) Change: 112265591
Diffstat (limited to 'tensorflow/g3doc/tutorials/pdes/index.md')
-rwxr-xr-xtensorflow/g3doc/tutorials/pdes/index.md4
1 files changed, 2 insertions, 2 deletions
diff --git a/tensorflow/g3doc/tutorials/pdes/index.md b/tensorflow/g3doc/tutorials/pdes/index.md
index 9d922320cb..d23038ffb5 100755
--- a/tensorflow/g3doc/tutorials/pdes/index.md
+++ b/tensorflow/g3doc/tutorials/pdes/index.md
@@ -81,8 +81,8 @@ Here we create our pond and hit it with some rain drops.
# Initial Conditions -- some rain drops hit a pond
# Set everything to zero
-u_init = np.zeros([N, N], dtype="float32")
-ut_init = np.zeros([N, N], dtype="float32")
+u_init = np.zeros([N, N], dtype=np.float32)
+ut_init = np.zeros([N, N], dtype=np.float32)
# Some rain drops hit a pond at random points
for n in range(40):