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authorGravatar Shashi Shekhar <shashishekhar@google.com>2018-08-31 14:30:13 -0700
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2018-08-31 14:39:08 -0700
commit04c4bcd43400cf46e102c5c4289cd5aed5e4f591 (patch)
treeea5ef1eada458ddc129cf231ff6c0466c75d93ca /tensorflow/contrib/lite/g3doc
parentb05af29fee46507f8bd688382cfcdbd500621d6a (diff)
Fix instructions for building with Makefile.
PiperOrigin-RevId: 211145062
Diffstat (limited to 'tensorflow/contrib/lite/g3doc')
-rw-r--r--tensorflow/contrib/lite/g3doc/ios.md6
-rw-r--r--tensorflow/contrib/lite/g3doc/rpi.md10
2 files changed, 8 insertions, 8 deletions
diff --git a/tensorflow/contrib/lite/g3doc/ios.md b/tensorflow/contrib/lite/g3doc/ios.md
index 5ff0412209..a83d2c8fec 100644
--- a/tensorflow/contrib/lite/g3doc/ios.md
+++ b/tensorflow/contrib/lite/g3doc/ios.md
@@ -36,7 +36,7 @@ brew link libtool
Then you need to run a shell script to download the dependencies you need:
```bash
-tensorflow/contrib/lite/download_dependencies.sh
+tensorflow/contrib/lite/tools/make/download_dependencies.sh
```
This will fetch copies of libraries and data from the web and install them in
@@ -46,14 +46,14 @@ With all of the dependencies set up, you can now build the library for all five
supported architectures on iOS:
```bash
-tensorflow/contrib/lite/build_ios_universal_lib.sh
+tensorflow/contrib/lite/tools/make/build_ios_universal_lib.sh
```
Under the hood this uses a makefile in `tensorflow/contrib/lite` to build the
different versions of the library, followed by a call to `lipo` to bundle them
into a universal file containing armv7, armv7s, arm64, i386, and x86_64
architectures. The resulting library is in
-`tensorflow/contrib/lite/gen/lib/libtensorflow-lite.a`.
+`tensorflow/contrib/lite/tools/make/gen/lib/libtensorflow-lite.a`.
If you get an error such as `no such file or directory: 'x86_64'` when running
`build_ios_universal_lib.sh`: open Xcode > Preferences > Locations, and ensure
diff --git a/tensorflow/contrib/lite/g3doc/rpi.md b/tensorflow/contrib/lite/g3doc/rpi.md
index 148c7a5ab1..41a1892b6f 100644
--- a/tensorflow/contrib/lite/g3doc/rpi.md
+++ b/tensorflow/contrib/lite/g3doc/rpi.md
@@ -23,14 +23,14 @@ Clone this Tensorflow repository, Run this script at the root of the repository
> The Tensorflow repository is in `/tensorflow` if you are using `tensorflow/tensorflow:nightly-devel` docker image, just try it.
```bash
-./tensorflow/contrib/lite/download_dependencies.sh
+./tensorflow/contrib/lite/tools/make/download_dependencies.sh
```
Note that you only need to do this once.
You should then be able to compile:
```bash
-./tensorflow/contrib/lite/build_rpi_lib.sh
+./tensorflow/contrib/lite/tools/make/build_rpi_lib.sh
```
This should compile a static library in:
@@ -48,14 +48,14 @@ sudo apt-get install build-essential
First, clone the TensorFlow repository. Run this at the root of the repository:
```bash
-./tensorflow/contrib/lite/download_dependencies.sh
+./tensorflow/contrib/lite/tools/make/download_dependencies.sh
```
Note that you only need to do this once.
You should then be able to compile:
```bash
-./tensorflow/contrib/lite/build_rpi_lib.sh
+./tensorflow/contrib/lite/tools/make/build_rpi_lib.sh
```
This should compile a static library in:
-`tensorflow/contrib/lite/gen/lib/rpi_armv7/libtensorflow-lite.a`.
+`tensorflow/contrib/lite/tools/make/gen/lib/rpi_armv7/libtensorflow-lite.a`.