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Diffstat (limited to 'README.md')
-rw-r--r-- | README.md | 11 |
1 files changed, 6 insertions, 5 deletions
@@ -22,7 +22,8 @@ compiled model. ## TensorFlow Support -Vela supports TensorFlow 2.1.0. +Vela supports TensorFlow 2.1.0 (for experimental Int16 support please use the +latest nightly build of TensorFlow). ## Environment @@ -46,7 +47,7 @@ And optionally: Vela is available to install as a package from [PyPi](https://pypi.org/project/ethos-u-vela/), or as source code from -[ML Platform](https://git.mlplatform.org/ml/ethos-u/ethos-u-vela.git/about/). +[ML Platform](https://review.mlplatform.org/plugins/gitiles/ml/ethos-u/ethos-u-vela). Both methods will automatically install all the required dependencies. ### PyPi @@ -65,7 +66,7 @@ First obtain the source code by either downloading the desired TGZ file from: Or by cloning the git repository: ```bash -git clone https://git.mlplatform.org/ml/ethos-u/ethos-u-vela.git +git clone https://review.mlplatform.org/ml/ethos-u/ethos-u-vela.git ``` Once you have the source code, Vela can be installed using the following @@ -82,7 +83,7 @@ Or, if you use `pipenv`: pipenv install . ``` -### Advanced Installation for Developers +#### Advanced Installation for Developers If you plan to modify the Vela codebase then it is recommended to install Vela as an editable package to avoid the need to re-install after every modification. @@ -98,7 +99,7 @@ Or, if you use `pipenv`: pipenv install -e . ``` -If you plan to contribute to the Vela project (highly encouraged!!!) then it is +If you plan to contribute to the Vela project (highly encouraged!) then it is recommended to install Vela along with the pre-commit tools (see [Vela Testing](TESTING.md) for more details). |