diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index 2f4de863dad..1edbacd598a 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -327,7 +327,7 @@ for their help in the PR comments. ### Continuous Integration See https://hud.pytorch.org/hud/pytorch/executorch/main for the current state of the CI (continuous integration) jobs. If `main` is broken, consider rebasing -your PR onto the `viable/strict` branch, which points to the most recent +your PR onto the `release/1.0` branch, which points to the most recent all-green commit.   diff --git a/docs/README.md b/docs/README.md index e30decb9362..f9037adeacb 100644 --- a/docs/README.md +++ b/docs/README.md @@ -40,7 +40,7 @@ To build the documentation locally: 1. Clone the ExecuTorch repo to your machine. ```bash - git clone -b viable/strict https://github.com/pytorch/executorch.git && cd executorch + git clone -b release/1.0 https://github.com/pytorch/executorch.git && cd executorch ``` 1. If you don't have it already, start either a Python virtual envitonment: diff --git a/docs/source/getting-started.md b/docs/source/getting-started.md index d3d9662f5c3..ede7e81d386 100644 --- a/docs/source/getting-started.md +++ b/docs/source/getting-started.md @@ -168,7 +168,7 @@ ExecuTorch provides C++ APIs, which can be used to target embedded or mobile dev CMake is the preferred build system for the ExecuTorch C++ runtime. To use with CMake, clone the ExecuTorch repository as a subdirectory of your project, and use CMake's `add_subdirectory("executorch")` to include the dependency. The `executorch` target, as well as kernel and backend targets will be made available to link against. The runtime can also be built standalone to support diverse toolchains. See [Using ExecuTorch with C++](using-executorch-cpp.md) for a detailed description of build integration, targets, and cross compilation. ``` -git clone -b viable/strict https://github.com/pytorch/executorch.git +git clone -b release/1.0 https://github.com/pytorch/executorch.git ``` ```python # CMakeLists.txt diff --git a/docs/source/using-executorch-building-from-source.md b/docs/source/using-executorch-building-from-source.md index d48f9d26db7..48901f62a76 100644 --- a/docs/source/using-executorch-building-from-source.md +++ b/docs/source/using-executorch-building-from-source.md @@ -38,7 +38,7 @@ portability details. ## Environment Setup Clone the ExecuTorch repository from GitHub and create a conda environment as follows. Venv can be used in place on conda. ```bash - git clone -b viable/strict https://github.com/pytorch/executorch.git + git clone -b release/1.0 https://github.com/pytorch/executorch.git cd executorch conda create -yn executorch python=3.10.0 conda activate executorch diff --git a/docs/source/using-executorch-ios.md b/docs/source/using-executorch-ios.md index 3e12f174177..15ccef8d8a1 100644 --- a/docs/source/using-executorch-ios.md +++ b/docs/source/using-executorch-ios.md @@ -98,7 +98,7 @@ xcode-select --install 2. Clone ExecuTorch: ```bash -git clone -b viable/strict https://github.com/pytorch/executorch.git --depth 1 --recurse-submodules --shallow-submodules && cd executorch +git clone -b release/1.0 https://github.com/pytorch/executorch.git --depth 1 --recurse-submodules --shallow-submodules && cd executorch ``` 3. Set up [Python](https://www.python.org/downloads/macos/) 3.10+ and activate a virtual environment: diff --git a/extension/benchmark/apple/Benchmark/README.md b/extension/benchmark/apple/Benchmark/README.md index 25e78a39462..13d7be075b4 100644 --- a/extension/benchmark/apple/Benchmark/README.md +++ b/extension/benchmark/apple/Benchmark/README.md @@ -24,7 +24,7 @@ It provides a flexible framework for dynamically generating and running performa To get started, clone the ExecuTorch repository and cd into the source code directory: ```bash -git clone -b viable/strict https://github.com/pytorch/executorch.git --depth 1 --recurse-submodules --shallow-submodules && cd executorch +git clone -b release/1.0 https://github.com/pytorch/executorch.git --depth 1 --recurse-submodules --shallow-submodules && cd executorch ``` This command performs a shallow clone to speed up the process.