diff options
author | A. Unique TensorFlower <gardener@tensorflow.org> | 2017-02-07 14:31:04 -0800 |
---|---|---|
committer | TensorFlower Gardener <gardener@tensorflow.org> | 2017-02-07 14:47:55 -0800 |
commit | fcae253c08a9f54d55cfa596402ab53c397089bd (patch) | |
tree | 418518ca8a67859aba4a5883f0bb6ab8edd6c358 /tensorflow/g3doc | |
parent | f2068869bdc39fa6b3b8e4462a32e6c58a368aee (diff) |
Doc fix for mandelbrot set tutorial
Fixes #7308.
complex_abs -> abs and one bit of indentation.
Change: 146834910
Diffstat (limited to 'tensorflow/g3doc')
-rwxr-xr-x | tensorflow/g3doc/tutorials/mandelbrot/index.md | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/tensorflow/g3doc/tutorials/mandelbrot/index.md b/tensorflow/g3doc/tutorials/mandelbrot/index.md index d4a45167cd..791de11667 100755 --- a/tensorflow/g3doc/tutorials/mandelbrot/index.md +++ b/tensorflow/g3doc/tutorials/mandelbrot/index.md @@ -49,13 +49,13 @@ For playing around like this, we often use an interactive session, but a regular session would work as well. ```python - sess = tf.InteractiveSession() +sess = tf.InteractiveSession() ``` It's handy that we can freely mix NumPy and TensorFlow. ```python -# Use NumPy to create a 2D array of complex numbers on [-2,2]x[-2,2] +# Use NumPy to create a 2D array of complex numbers Y, X = np.mgrid[-1.3:1.3:0.005, -2:1:0.005] Z = X+1j*Y @@ -84,7 +84,7 @@ Now we specify more of the computation... zs_ = zs*zs + xs # Have we diverged with this new value? -not_diverged = tf.complex_abs(zs_) < 4 +not_diverged = tf.abs(zs_) < 4 # Operation to update the zs and the iteration count. # |