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Merge pull request #24994 from miguelmorin:bazel_workspace_error

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TensorFlower Gardener 2019-01-23 17:03:59 -08:00
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CONTRIBUTING.md
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@ -150,41 +150,45 @@ may exist in your changes.
There are two ways to run TensorFlow unit tests.
1. Using tools and libraries installed directly on your system.
1. Using tools and libraries installed directly on your system.
Refer to the
[CPU-only developer Dockerfile](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/docker/Dockerfile.devel) and
[GPU developer Dockerfile](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/docker/Dockerfile.devel-gpu)
for the required packages. Alternatively, use the said
[Docker images](https://hub.docker.com/r/tensorflow/tensorflow/tags/), e.g.,
`tensorflow/tensorflow:nightly-devel` and `tensorflow/tensorflow:nightly-devel-gpu`
for development to avoid installing the packages directly on your system.
Refer to the
[CPU-only developer Dockerfile](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/docker/Dockerfile.devel)
and
[GPU developer Dockerfile](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/docker/Dockerfile.devel-gpu)
for the required packages. Alternatively, use the said
[Docker images](https://hub.docker.com/r/tensorflow/tensorflow/tags/), e.g.,
`tensorflow/tensorflow:nightly-devel` and
`tensorflow/tensorflow:nightly-devel-gpu` for development to avoid
installing the packages directly on your system (in which case remember to
change directory from `/root` to `/tensorflow` once you get into the running
container so `bazel` can find the `tensorflow` workspace).
Once you have the packages installed, you can run a specific unit test in
bazel by doing as follows:
Once you have the packages installed, you can run a specific unit test in
bazel by doing as follows:
If the tests are to be run on GPU, add CUDA paths to LD_LIBRARY_PATH and add
the `cuda` option flag
If the tests are to be run on GPU, add CUDA paths to LD_LIBRARY_PATH and add
the `cuda` option flag
```bash
export LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:$LD_LIBRARY_PATH"
```bash
export LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:$LD_LIBRARY_PATH"
export flags="--config=opt --config=cuda -k"
```
export flags="--config=opt --config=cuda -k"
```
For example, to run all tests under tensorflow/python, do:
For example, to run all tests under tensorflow/python, do:
```bash
bazel test ${flags} //tensorflow/python/...
```
```bash
bazel test ${flags} //tensorflow/python/...
```
2. Using [Docker](https://www.docker.com) and TensorFlow's CI scripts.
2. Using [Docker](https://www.docker.com) and TensorFlow's CI scripts.
```bash
# Install Docker first, then this will build and run cpu tests
tensorflow/tools/ci_build/ci_build.sh CPU bazel test //tensorflow/...
```
See
[TensorFlow Builds](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/tools/ci_build) for details.
```bash
# Install Docker first, then this will build and run cpu tests
tensorflow/tools/ci_build/ci_build.sh CPU bazel test //tensorflow/...
```
See
[TensorFlow Builds](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/tools/ci_build)
for details.