Given the development image `paddle:dev`, the following command builds PaddlePaddle from the source tree on the development computer (host):
```bash
docker run -v$PWD:/paddle -e"WITH_GPU=OFF"-e"WITH_AVX=ON"-e"TEST=OFF" paddle:dev
docker run -v$PWD:/paddle -e"WITH_GPU=OFF"-e"WITH_AVX=ON"-e"WITH_TEST=OFF"-e"RUN_TEST=OFF" paddle:dev
```
This command mounts the source directory on the host into `/paddle` in the container, so the default entry point of `paddle:dev`, `build.sh`, could build the source code with possible local changes. When it writes to `/paddle/build` in the container, it writes to `$PWD/build` on the host indeed.
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@@ -108,7 +108,11 @@ This command mounts the source directory on the host into `/paddle` in the conta
Users can specify the following Docker build arguments with either "ON" or "OFF" value:
-`WITH_GPU`: ***Required***. Generates NVIDIA CUDA GPU code and relies on CUDA libraries.
-`WITH_AVX`: ***Required***. Set to "OFF" prevents from generating AVX instructions. If you don't know what is AVX, you might want to set "ON".
-`TEST`: ***Optional, default OFF***. Build unit tests and run them after building.
-`WITH_TEST`: ***Optional, default OFF***. Build unit tests binaries. Once you've built the unit tests, you can run these test manually by the following command:
```bash
docker run -v$PWD:/paddle -e"WITH_GPU=OFF"-e"WITH_AVX=ON" paddle:dev sh -c"cd /paddle/build; make coverall"
```
-`RUN_TEST`: ***Optional, default OFF***. Run unit tests after building. You can't run unit tests without building it.
