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-rw-r--r--tensorflow/docs_src/performance/xla/tfcompile.md4
1 files changed, 2 insertions, 2 deletions
diff --git a/tensorflow/docs_src/performance/xla/tfcompile.md b/tensorflow/docs_src/performance/xla/tfcompile.md
index e4b803164f..2e0f3774c4 100644
--- a/tensorflow/docs_src/performance/xla/tfcompile.md
+++ b/tensorflow/docs_src/performance/xla/tfcompile.md
@@ -17,7 +17,7 @@ kernels that are actually used in the computation.
The compiler is built on top of the XLA framework. The code bridging TensorFlow
to the XLA framework resides under
[tensorflow/compiler](https://www.tensorflow.org/code/tensorflow/compiler/),
-which also includes support for @{$jit$just-in-time (JIT) compilation} of
+which also includes support for [just-in-time (JIT) compilation](../../performance/xla/jit.md) of
TensorFlow graphs.
## What does tfcompile do?
@@ -116,7 +116,7 @@ tf_library(
> [make_test_graphs.py]("https://www.tensorflow.org/code/tensorflow/compiler/aot/tests/make_test_graphs.py")
> and specify the output location with the --out_dir flag.
-Typical graphs contain @{$python/state_ops$`Variables`}
+Typical graphs contain [`Variables`](../../api_guides/python/state_ops.md)
representing the weights that are learned via training, but `tfcompile` cannot
compile a subgraph that contain `Variables`. The
[freeze_graph.py](https://www.tensorflow.org/code/tensorflow/python/tools/freeze_graph.py)