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authorGravatar Mark Daoust <markdaoust@google.com>2018-08-16 11:41:12 -0700
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2018-08-16 12:10:03 -0700
commite4371880b1a50f7b23b2375c9c7c7fcd2dcf1a5b (patch)
treeda6c6a356190e79e818f1291224b14b0ffe23048 /tensorflow/contrib/estimator
parent72c5efff887256ab50bc5f9e586cea17c71a50b2 (diff)
Remove magic-doc-links from code.
This change contains no code changes. Only doc-strings. We can't use relative links in code files, so we don't have much choice but to link to tensorflow.org/ The deleted links were to docs that no longer exist. PiperOrigin-RevId: 209019572
Diffstat (limited to 'tensorflow/contrib/estimator')
-rw-r--r--tensorflow/contrib/estimator/python/estimator/export.py4
-rw-r--r--tensorflow/contrib/estimator/python/estimator/hooks.py5
2 files changed, 5 insertions, 4 deletions
diff --git a/tensorflow/contrib/estimator/python/estimator/export.py b/tensorflow/contrib/estimator/python/estimator/export.py
index 03cf6f107c..b0deb9b494 100644
--- a/tensorflow/contrib/estimator/python/estimator/export.py
+++ b/tensorflow/contrib/estimator/python/estimator/export.py
@@ -31,8 +31,8 @@ def export_saved_model_for_mode(
# pylint: disable=line-too-long
"""Exports a single train/eval/predict graph as a SavedModel.
- For a detailed guide, see
- @{$saved_model#using_savedmodel_with_estimators$Using SavedModel with Estimators}.
+ For a detailed guide, see [Using SavedModel with Estimators](
+ https://tensorflow.org/guide/saved_model#using_savedmodel_with_estimators).
Sample usage:
```python
diff --git a/tensorflow/contrib/estimator/python/estimator/hooks.py b/tensorflow/contrib/estimator/python/estimator/hooks.py
index faefda7c48..30455314a9 100644
--- a/tensorflow/contrib/estimator/python/estimator/hooks.py
+++ b/tensorflow/contrib/estimator/python/estimator/hooks.py
@@ -74,8 +74,9 @@ class InMemoryEvaluatorHook(training.SessionRunHook):
estimator: A `tf.estimator.Estimator` instance to call evaluate.
input_fn: Equivalent to the `input_fn` arg to `estimator.evaluate`. A
function that constructs the input data for evaluation.
- See @{$premade_estimators#create_input_functions} for more
- information. The function should construct and return one of
+ See [Createing input functions](
+ https://tensorflow.org/guide/premade_estimators#create_input_functions)
+ for more information. The function should construct and return one of
the following:
* A 'tf.data.Dataset' object: Outputs of `Dataset` object must be a