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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/mandelbrot/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/mandelbrot/index.md')
-rwxr-xr-xtensorflow/g3doc/tutorials/mandelbrot/index.md6
1 files changed, 3 insertions, 3 deletions
diff --git a/tensorflow/g3doc/tutorials/mandelbrot/index.md b/tensorflow/g3doc/tutorials/mandelbrot/index.md
index d88e7b5502..f4aa8fe6ca 100755
--- a/tensorflow/g3doc/tutorials/mandelbrot/index.md
+++ b/tensorflow/g3doc/tutorials/mandelbrot/index.md
@@ -64,9 +64,9 @@ Z = X+1j*Y
Now we define and initialize TensorFlow tensors.
```python
-xs = tf.constant(Z.astype("complex64"))
+xs = tf.constant(Z.astype(np.complex64))
zs = tf.Variable(xs)
-ns = tf.Variable(tf.zeros_like(xs, "float32"))
+ns = tf.Variable(tf.zeros_like(xs, tf.float32))
```
TensorFlow requires that you explicitly initialize variables before using them.
@@ -94,7 +94,7 @@ not_diverged = tf.complex_abs(zs_) < 4
#
step = tf.group(
zs.assign(zs_),
- ns.assign_add(tf.cast(not_diverged, "float32"))
+ ns.assign_add(tf.cast(not_diverged, tf.float32))
)
```