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.github/workflows/sigbuild-docker.yml
- name: Set up Docker Buildx uses: docker/setup-buildx-action@8c0edbc76e98fa90f69d9a2c020dcb50019dc325 # v2.2.1 - name: Login to DockerHub uses: docker/login-action@f4ef78c080cd8ba55a85445d5b36e214a81df20a # v2.1.0 with: username: ${{ secrets.DOCKERHUB_USERNAME }} password: ${{ secrets.DOCKERHUB_TOKEN }}
Others - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Mon Oct 23 18:43:43 GMT 2023 - 3.8K bytes - Viewed (0) -
ci/official/utilities/cleanup_docker.sh
cat <<EOF IMPORTANT: These tests ran under docker. This script does not clean up the container for you! You can delete the container with: $ docker rm -f tf You can also execute more commands within the container with e.g.: $ docker exec tf bazel clean $ docker exec -it tf bash EOF
Shell Script - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Thu Aug 10 20:26:29 GMT 2023 - 998 bytes - Viewed (0) -
ci/official/envs/no_docker
# See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== # Disable Docker
Plain Text - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Wed Jan 10 19:39:41 GMT 2024 - 727 bytes - Viewed (0) -
ci/official/utilities/setup_docker.sh
DOCKER_BUILDKIT=1 docker build --cache-from "$TFCI_DOCKER_IMAGE" -t "$TFCI_DOCKER_IMAGE" $TFCI_DOCKER_REBUILD_ARGS if [[ "$TFCI_DOCKER_REBUILD_UPLOAD_ENABLE" == 1 ]]; then docker push "$TFCI_DOCKER_IMAGE" fi fi # Keep the existing "tf" container if it's already present. # The container is not cleaned up automatically! Remove it with: # docker rm tf if ! docker container inspect tf >/dev/null 2>&1 ; then
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ci/official/containers/linux_arm64/devel.bashrc
# Do not print anything if this is not being used interactively [ -z "$PS1" ] && return # Set up attractive prompt export PS1="\[\e[31m\]tf-docker\[\e[m\] \[\e[33m\]\w\[\e[m\] > " export TERM=xterm-256color alias grep="grep --color=auto" alias ls="ls --color=auto" # Fix nvidia-docker
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.github/workflows/update-rbe.yml
# ============================================================================== # This Workflow updates tensorflow/tools/toolchains/remote_config/configs.bzl # to reference the most recent versions of the SIG Build Docker images. name: Update RBE Configs on: workflow_dispatch: permissions: contents: read jobs: rbe: name: Update RBE Configs runs-on: ubuntu-latest
Others - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Wed Apr 10 15:40:34 GMT 2024 - 7.2K bytes - Viewed (0) -
ci/devinfra/docker_windows/Dockerfile
# Workaround for networking (b/112379377) was closed as won't fix for MTU setting. # Remaining lines handle making the metadata server on the VM accessible inside docker. RUN Get-NetAdapter | Where-Object Name -like "*Ethernet*" | ForEach-Object { \ & netsh interface ipv4 set subinterface $_.InterfaceIndex mtu=1460 store=persistent }; \
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.github/workflows/sigbuild-docker-presubmit.yml
- name: Set up Docker Buildx uses: docker/setup-buildx-action@8c0edbc76e98fa90f69d9a2c020dcb50019dc325 # v2.2.1 - name: Login to GCR if: contains(github.event.pull_request.labels.*.name, 'build and push to gcr.io for staging') uses: docker/login-action@f4ef78c080cd8ba55a85445d5b36e214a81df20a # v2.1.0 with:
Others - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Mon Oct 23 18:43:43 GMT 2023 - 4K bytes - Viewed (0) -
.bazelrc
# Linux builds. Instructions are available in the official documentation: # https://www.tensorflow.org/install/source#install_clang_recommended_linux_only # Another good option is to use our Docker containers to build and test TF: # https://github.com/tensorflow/tensorflow/tree/master/tensorflow/tools/tf_sig_build_dockerfiles. build:unsupported_cpu_linux --config=avx_linux
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ci/official/README.md
# container and start fresh, run "docker rm -f tf". Removing the container # destroys some temporary bazel data and causes longer builds. # # You will need the NVIDIA Container Toolkit for GPU testing: # https://github.com/NVIDIA/nvidia-container-toolkit # # Note: if you interrupt a bazel command on docker (ctrl-c), you # will need to run `docker exec tf pkill bazel` to quit bazel. #
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