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authorGravatar A. Unique TensorFlower <gardener@tensorflow.org>2018-08-17 09:23:58 -0700
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2018-08-17 09:27:58 -0700
commit74c0381978748b3704da43288bb1169d532221b1 (patch)
tree3530a098fb85bc0211d203230970a05f9fa46cae /tensorflow/docs_src
parent45aad1a42201ac9134df2ab258b60e697ee3b96a (diff)
Minor changes to www.tensorflow.org/install/install_sources
1. Remove mock from extra packages to install for testing since it is already required to be installed for the build. 2. The instruction to build the build_pip_package script is difficult to notice as it gets lost with the Note in the GPU support section above it. As such, add a subsection title for it. RELNOTES: n/a PiperOrigin-RevId: 209159059
Diffstat (limited to 'tensorflow/docs_src')
-rw-r--r--tensorflow/docs_src/install/install_sources.md4
1 files changed, 3 insertions, 1 deletions
diff --git a/tensorflow/docs_src/install/install_sources.md b/tensorflow/docs_src/install/install_sources.md
index dfd9fbce4b..e8e13142e9 100644
--- a/tensorflow/docs_src/install/install_sources.md
+++ b/tensorflow/docs_src/install/install_sources.md
@@ -189,7 +189,7 @@ Note: These are just the minimum requirements to _build_ tensorflow. Installing
the pip package will download additional packages required to _run_ it. If you
plan on executing tasks directly with `bazel` , without the pip installation,
you may need to install additional python packages. For example, you should `pip
-install mock enum34` before running TensorFlow's tests with bazel.
+install enum34` before running TensorFlow's tests with bazel.
<a name="ConfigureInstallation"></a>
@@ -364,6 +364,8 @@ continue to work against your built package.
If RAM is an issue on your system, you may limit RAM usage by specifying
<code>--local_resources 2048,.5,1.0</code> while invoking `bazel`.
+### Run the build_pip_package script
+
The <code>bazel build</code> command builds a script named `build_pip_package`.
Running this script as follows will build a `.whl` file within the
`/tmp/tensorflow_pkg` directory: