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-rw-r--r--tensorflow/docs_src/programmers_guide/debugger.md3
1 files changed, 2 insertions, 1 deletions
diff --git a/tensorflow/docs_src/programmers_guide/debugger.md b/tensorflow/docs_src/programmers_guide/debugger.md
index 5fb1c2da88..d1399814ee 100644
--- a/tensorflow/docs_src/programmers_guide/debugger.md
+++ b/tensorflow/docs_src/programmers_guide/debugger.md
@@ -459,7 +459,7 @@ accuracy_score = classifier.evaluate(x=test_set.data,
[debug_tflearn_iris.py](https://www.tensorflow.org/code/tensorflow/python/debug/examples/debug_tflearn_iris.py),
-based on {$tflearn$tf-learn's iris tutorial}, contains a full example of how to
+based on [tf-learn's iris tutorial](https://www.tensorflow.org/versions/r1.2/get_started/tflearn), contains a full example of how to
use the tfdbg with `Estimator`s. To run this example, do:
```none
@@ -753,6 +753,7 @@ There are three possible workarounds or solutions:
# For LocalCLIDebugHook
hooks = [tf_debug.LocalCLIDebugHook(dump_root="/with/lots/of/space")]
```
+
Make sure that the directory pointed to by dump_root is empty or nonexistent.
tfdbg cleans up the dump directories before exiting.
* Reduce the batch size used during the runs.