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Updating CONTRIBUTING.md. changing links to tensorflow devoloper docker file

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ArkadebMisra 2023-10-09 20:40:31 +05:30 committed by ArkadebMisra
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commit 3711ad6481
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14
CONTRIBUTING.md
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@ -232,12 +232,18 @@ There are two ways to run TensorFlow unit tests.
and
[GPU developer Dockerfile](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/dockerfiles/dockerfiles/devel-gpu.Dockerfile)
for the required packages. Alternatively, use the said
[Docker images](https://hub.docker.com/r/tensorflow/tensorflow/tags/), e.g.,
`tensorflow/tensorflow:devel` and `tensorflow/tensorflow:devel-gpu` for
development to avoid installing the packages directly on your system (in
[tensorflow/build Docker images](https://hub.docker.com/r/tensorflow/build)
(`tensorflow/tensorflow:devel` and `tensorflow/tensorflow:devel-gpu` are no longer supported for)
development. Use TF SIG Build Dockerfiles in development to avoid installing the packages directly on your system (in
which case remember to change the directory from `/root` to `/tensorflow`
once you get into the running container so `bazel` can find the `tensorflow`
workspace).
you can do this by using the following command. As an example-
```bash
docker run -it --rm -v $PWD:/tmp -w /tmp tensorflow/build:2.15-python3.10
```
Once you have the packages installed, you can run a specific unit test in
bazel by doing as follows:
@ -283,7 +289,7 @@ There are two ways to run TensorFlow unit tests.
execution time and the sharding
[could create an overhead on the test execution](https://github.com/bazelbuild/bazel/issues/2113#issuecomment-264054799).
2. Using [Docker](https://www.docker.com) and TensorFlow's CI scripts.
3. Using [Docker](https://www.docker.com) and TensorFlow's CI scripts.
```bash
# Install Docker first, then this will build and run cpu tests