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authorGravatar Billy Lamberta <blamb@google.com>2018-06-22 17:40:27 -0700
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2018-06-22 17:43:06 -0700
commit6af6b3b1ea76d3e90227bcdda70dc845d00dc6fc (patch)
treef90966fce265147b98075f2f8428da21a016588d /tensorflow/docs_src/api_guides
parent26f48b72a4fb749e7ffd05cec14ef8e0be4f72ab (diff)
Rename programmers_guide/ directory to guide/.
Update references in source files and docs in tensorflow and related projects. PiperOrigin-RevId: 201766994
Diffstat (limited to 'tensorflow/docs_src/api_guides')
-rw-r--r--tensorflow/docs_src/api_guides/python/client.md2
-rw-r--r--tensorflow/docs_src/api_guides/python/input_dataset.md3
-rw-r--r--tensorflow/docs_src/api_guides/python/reading_data.md8
3 files changed, 6 insertions, 7 deletions
diff --git a/tensorflow/docs_src/api_guides/python/client.md b/tensorflow/docs_src/api_guides/python/client.md
index eef23696db..27fc8610bf 100644
--- a/tensorflow/docs_src/api_guides/python/client.md
+++ b/tensorflow/docs_src/api_guides/python/client.md
@@ -3,7 +3,7 @@
This library contains classes for launching graphs and executing operations.
-@{$programmers_guide/low_level_intro$This guide} has examples of how a graph
+@{$guide/low_level_intro$This guide} has examples of how a graph
is launched in a @{tf.Session}.
## Session management
diff --git a/tensorflow/docs_src/api_guides/python/input_dataset.md b/tensorflow/docs_src/api_guides/python/input_dataset.md
index a6e2fc48e0..a6612d1bf7 100644
--- a/tensorflow/docs_src/api_guides/python/input_dataset.md
+++ b/tensorflow/docs_src/api_guides/python/input_dataset.md
@@ -2,8 +2,7 @@
[TOC]
@{tf.data.Dataset} allows you to build complex input pipelines. See the
-@{$datasets$programmer's guide} for an in-depth explanation of how to use this
-API.
+@{$guide/datasets} for an in-depth explanation of how to use this API.
## Reader classes
diff --git a/tensorflow/docs_src/api_guides/python/reading_data.md b/tensorflow/docs_src/api_guides/python/reading_data.md
index 5bbbfd3216..d7d0904ae2 100644
--- a/tensorflow/docs_src/api_guides/python/reading_data.md
+++ b/tensorflow/docs_src/api_guides/python/reading_data.md
@@ -16,8 +16,8 @@ There are four methods of getting data into a TensorFlow program:
## `tf.data` API
-See the @{$datasets$programmer's guide} for an in-depth explanation of
-@{tf.data.Dataset}. The `tf.data` API enables you to extract and preprocess data
+See the @{$guide/datasets} for an in-depth explanation of @{tf.data.Dataset}.
+The `tf.data` API enables you to extract and preprocess data
from different input/file formats, and apply transformations such as batching,
shuffling, and mapping functions over the dataset. This is an improved version
of the old input methods---feeding and `QueueRunner`---which are described
@@ -511,8 +511,8 @@ You can have the train and eval in the same graph in the same process, and share
their trained variables or layers. See @{$variables$the shared variables tutorial}.
To support the single-graph approach
-@{$programmers_guide/datasets$`tf.data`} also supplies
-@{$programmers_guide/datasets#creating_an_iterator$advanced iterator types} that
+@{$guide/datasets$`tf.data`} also supplies
+@{$guide/datasets#creating_an_iterator$advanced iterator types} that
that allow the user to change the input pipeline without rebuilding the graph or
session.