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-rw-r--r--RELEASE.md2
-rw-r--r--tensorflow/contrib/cmake/README.md2
-rw-r--r--tensorflow/contrib/lite/g3doc/tfmobile/android_build.md2
-rw-r--r--tensorflow/contrib/lite/toco/g3doc/cmdline_examples.md2
-rw-r--r--tensorflow/contrib/lite/toco/g3doc/python_api.md2
-rw-r--r--tensorflow/contrib/tensorrt/README.md2
-rw-r--r--tensorflow/go/README.md6
-rw-r--r--tensorflow/java/README.md7
-rw-r--r--tensorflow/python/pywrap_tensorflow.py2
-rw-r--r--tensorflow/tools/ci_build/README.md2
-rw-r--r--tensorflow/tools/dist_test/README.md2
11 files changed, 14 insertions, 17 deletions
diff --git a/RELEASE.md b/RELEASE.md
index 2f26623373..20e1d9217b 100644
--- a/RELEASE.md
+++ b/RELEASE.md
@@ -94,7 +94,7 @@ Ricardo Perez-Lopez, 张天启, 张晓飞
## Breaking Changes
-* Prebuilt binaries are now (as of TensorFlow 1.10) built against NCCL 2.2 and no longer include NCCL in the binary install. TensorFlow usage with multiple GPUs and NCCL requires upgrade to [NCCL 2.2](https://developer.nvidia.com/nccl). See updated install guides: [Installing TensorFlow on Ubuntu](https://www.tensorflow.org/install/install_linux#tensorflow_gpu_support) and [Install TensorFlow from Sources](https://www.tensorflow.org/install/install_sources#optional_install_tensorflow_for_gpu_prerequisites).
+* Prebuilt binaries are now (as of TensorFlow 1.10) built against NCCL 2.2 and no longer include NCCL in the binary install. TensorFlow usage with multiple GPUs and NCCL requires upgrade to [NCCL 2.2](https://developer.nvidia.com/nccl). See updated install guides: [TensorFlow GPU support](https://www.tensorflow.org/install/gpu) and [Build TensorFlow from source](https://www.tensorflow.org/install/source).
* Starting from TensorFlow 1.11, Windows builds will use Bazel. Therefore, we will drop official support for cmake.
## Bug Fixes and Other Changes
diff --git a/tensorflow/contrib/cmake/README.md b/tensorflow/contrib/cmake/README.md
index 789dab81ed..77242b34fd 100644
--- a/tensorflow/contrib/cmake/README.md
+++ b/tensorflow/contrib/cmake/README.md
@@ -17,7 +17,7 @@ Linux.
Current Status
--------------
-CMake can be used to build TensorFlow on Windows. See the [getting started documentation](https://www.tensorflow.org/install/install_windows)
+CMake can be used to build TensorFlow on Windows. See the [getting started documentation](https://www.tensorflow.org/install/source_windows)
for instructions on how to install a pre-built TensorFlow package on Windows.
### Current known limitations
diff --git a/tensorflow/contrib/lite/g3doc/tfmobile/android_build.md b/tensorflow/contrib/lite/g3doc/tfmobile/android_build.md
index c7cdee07de..b0f32a8d6c 100644
--- a/tensorflow/contrib/lite/g3doc/tfmobile/android_build.md
+++ b/tensorflow/contrib/lite/g3doc/tfmobile/android_build.md
@@ -93,7 +93,7 @@ requires some knowledge of build systems and Android developer tools, but we'll
guide you through the basics here.
- First, follow our instructions for
- <a href="http://www.tensorflow.org/install/install_sources">installing from sources</a>.
+ <a href="http://www.tensorflow.org/install/source">installing from sources</a>.
This will also guide you through installing Bazel and cloning the
TensorFlow code.
diff --git a/tensorflow/contrib/lite/toco/g3doc/cmdline_examples.md b/tensorflow/contrib/lite/toco/g3doc/cmdline_examples.md
index 84680b968e..aba7536cbd 100644
--- a/tensorflow/contrib/lite/toco/g3doc/cmdline_examples.md
+++ b/tensorflow/contrib/lite/toco/g3doc/cmdline_examples.md
@@ -38,7 +38,7 @@ There are two approaches to running TOCO via command line.
examples below use `tflite_convert` for simplicity.
* Example: `tflite_convert --output_file=...`
* `bazel`: In order to run the latest version of TOCO, [clone the TensorFlow
- repository](https://www.tensorflow.org/install/install_sources#clone_the_tensorflow_repository)
+ repository](https://www.tensorflow.org/install/source)
and use `bazel`. This is the recommended approach for converting models that
utilize new features that were not supported by TOCO in TensorFlow 1.9.
* Example: `bazel run
diff --git a/tensorflow/contrib/lite/toco/g3doc/python_api.md b/tensorflow/contrib/lite/toco/g3doc/python_api.md
index 51f808d4f0..910fa4c8de 100644
--- a/tensorflow/contrib/lite/toco/g3doc/python_api.md
+++ b/tensorflow/contrib/lite/toco/g3doc/python_api.md
@@ -260,7 +260,7 @@ interpreter.allocate_tensors()
In order to run the latest version of the TOCO Python API, clone the TensorFlow
repository, configure the installation, and build and install the pip package.
Detailed instructions are available
-[here](https://www.tensorflow.org/install/install_sources).
+[here](https://www.tensorflow.org/install/source).
### Converting models prior to TensorFlow 1.9. <a name="pre-tensorflow-1.9"></a>
diff --git a/tensorflow/contrib/tensorrt/README.md b/tensorflow/contrib/tensorrt/README.md
index 687dee07e1..caf8b6db0d 100644
--- a/tensorflow/contrib/tensorrt/README.md
+++ b/tensorflow/contrib/tensorrt/README.md
@@ -26,4 +26,4 @@ available. An example use can be found in test/test_tftrt.py script
In order to make use of TensorRT integration, you will need a local installation
of TensorRT 3.0.4 from the [NVIDIA Developer website](https://developer.nvidia.com/tensorrt).
Installation instructions for compatibility with TensorFlow are provided on the
-[TensorFlow Installation page](https://www.tensorflow.org/install/install_linux#nvidia_requirements_to_run_tensorflow_with_gpu_support).
+[TensorFlow GPU support](https://www.tensorflow.org/install/gpu) guide.
diff --git a/tensorflow/go/README.md b/tensorflow/go/README.md
index 288a32530a..3989f9b25a 100644
--- a/tensorflow/go/README.md
+++ b/tensorflow/go/README.md
@@ -10,7 +10,7 @@ Construct and execute TensorFlow graphs in Go.
## Quickstart
-Refer to [Installing TensorFlow for Go](https://www.tensorflow.org/install/install_go)
+Refer to [Installing TensorFlow for Go](https://www.tensorflow.org/install/lang_go)
## Building the TensorFlow C library from source
@@ -23,9 +23,7 @@ from source.
- [bazel](https://www.bazel.build/versions/master/docs/install.html)
- Environment to build TensorFlow from source code
- ([Linux](https://www.tensorflow.org/install/install_sources#PrepareLinux)
- or [OS
- X](https://www.tensorflow.org/install/install_sources#PrepareMac)).
+ ([Linux of macOS](https://www.tensorflow.org/install/source)).
If you don't need GPU support, then try the following:
```sh
diff --git a/tensorflow/java/README.md b/tensorflow/java/README.md
index c7382ff231..7ef862ae79 100644
--- a/tensorflow/java/README.md
+++ b/tensorflow/java/README.md
@@ -10,7 +10,7 @@
## Quickstart
-- Refer to [Installing TensorFlow for Java](https://www.tensorflow.org/install/install_java)
+- Refer to [Installing TensorFlow for Java](https://www.tensorflow.org/install/lang_java)
- [Javadoc](https://www.tensorflow.org/api_docs/java/reference/org/tensorflow/package-summary)
- [![Maven Central](https://maven-badges.herokuapp.com/maven-central/org.tensorflow/tensorflow/badge.svg)](https://maven-badges.herokuapp.com/maven-central/org.tensorflow/tensorflow)
@@ -22,8 +22,7 @@ native libraries will need to be built from source.
1. Install [bazel](https://www.bazel.build/versions/master/docs/install.html)
2. Setup the environment to build TensorFlow from source code
- ([Linux](https://www.tensorflow.org/install/install_sources#PrepareLinux)
- or [macOS](https://www.tensorflow.org/install/install_sources#PrepareMac)).
+ ([Linux or macOS](https://www.tensorflow.org/install/source)).
If you'd like to skip reading those details and do not care about GPU
support, try the following:
@@ -35,7 +34,7 @@ native libraries will need to be built from source.
brew install swig
```
-3. [Configure](https://www.tensorflow.org/install/install_sources#configure_the_installation)
+3. [Configure](https://www.tensorflow.org/install/source)
(e.g., enable GPU support) and build:
```sh
diff --git a/tensorflow/python/pywrap_tensorflow.py b/tensorflow/python/pywrap_tensorflow.py
index 5c0c5783dc..f0724277d3 100644
--- a/tensorflow/python/pywrap_tensorflow.py
+++ b/tensorflow/python/pywrap_tensorflow.py
@@ -68,7 +68,7 @@ try:
sys.setdlopenflags(_default_dlopen_flags)
except ImportError:
msg = """%s\n\nFailed to load the native TensorFlow runtime.\n
-See https://www.tensorflow.org/install/install_sources#common_installation_problems\n
+See https://www.tensorflow.org/install/errors\n
for some common reasons and solutions. Include the entire stack trace
above this error message when asking for help.""" % traceback.format_exc()
raise ImportError(msg)
diff --git a/tensorflow/tools/ci_build/README.md b/tensorflow/tools/ci_build/README.md
index f2161b700a..e2fd977f50 100644
--- a/tensorflow/tools/ci_build/README.md
+++ b/tensorflow/tools/ci_build/README.md
@@ -24,7 +24,7 @@ natively on your system.
### Run TensorFlow CI Scripts Natively on your Machine
-1. Follow the instructions at https://www.tensorflow.org/install/install_sources,
+1. Follow the instructions at https://www.tensorflow.org/install/source,
but stop when you get to the section "Configure the installation". You do not
need to configure the installation to run the CI scripts.
diff --git a/tensorflow/tools/dist_test/README.md b/tensorflow/tools/dist_test/README.md
index 228d5ee35d..f8ed74aaf7 100644
--- a/tensorflow/tools/dist_test/README.md
+++ b/tensorflow/tools/dist_test/README.md
@@ -23,7 +23,7 @@ You can test specify version of TensorFlow:
./local_test.sh ${whl_file_url}
```
-For example, you can find these TensorFlow python package URLs from [here](https://www.tensorflow.org/install/install_linux#the_url_of_the_tensorflow_python_package) for Ubuntu.
+For example, you can find these TensorFlow python package URLs from [here](https://www.tensorflow.org/install/pip) for Ubuntu.
**2) Launch a remote k8s cluster on Google Kubernetes Engine (GKE) and run the
test suite on it**
generated by cgit v1.2.3 (git 2.39.1) at 2024-05-19 16:13:54 +0000