aboutsummaryrefslogtreecommitdiffhomepage
path: root/tensorflow/contrib/autograph/README.md
diff options
context:
space:
mode:
Diffstat (limited to 'tensorflow/contrib/autograph/README.md')
-rw-r--r--tensorflow/contrib/autograph/README.md2
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/contrib/autograph/README.md b/tensorflow/contrib/autograph/README.md
index 674859bed4..47b1d4a99a 100644
--- a/tensorflow/contrib/autograph/README.md
+++ b/tensorflow/contrib/autograph/README.md
@@ -4,7 +4,7 @@ IMPORTANT: AutoGraph is alpha software, and under active development. Expect rou
AutoGraph is a Python to TensorFlow compiler.
-With AutoGraph, you can write [Eager style](https://www.tensorflow.org/programmers_guide/eager) code in a concise manner, and run it as a TensorFlow graph. AutoGraph uses source code transformation and partial evaluation to generate Python code that builds an equivalent TensorFlow subgraph. The result is code that behaves like ops and can be freely combined with other TensorFlow ops.
+With AutoGraph, you can write [Eager style](https://www.tensorflow.org/guide/eager) code in a concise manner, and run it as a TensorFlow graph. AutoGraph uses source code transformation and partial evaluation to generate Python code that builds an equivalent TensorFlow subgraph. The result is code that behaves like ops and can be freely combined with other TensorFlow ops.
For example, this Python function: