defaults:
      run:
        shell: bash
    container: ${{ (contains(inputs.runner, 'linux-x86') && 'us-docker.pkg.dev/ml-oss-artifacts-published/ml-public-container/ml-build:latest') ||
                   (contains(inputs.runner, 'linux-arm64') && 'us-docker.pkg.dev/ml-oss-artifacts-published/ml-public-container/ml-build-arm64:latest') ||
                   (contains(inputs.runner, 'windows-x86') && null) }}
    timeout-minutes: 300
    steps:

# despite lacking Nvidia CUDA support.
TFCI_BUILD_PIP_PACKAGE_WHEEL_NAME_ARG="--repo_env=WHEEL_NAME=tensorflow"
TFCI_DOCKER_ENABLE=1
TFCI_DOCKER_IMAGE=us-docker.pkg.dev/ml-oss-artifacts-published/ml-public-container/ml-build-arm64:latest
TFCI_DOCKER_PULL_ENABLE=1
TFCI_DOCKER_REBUILD_ARGS="--target=tf ci/official/containers/ml_build_arm64"
TFCI_INDEX_HTML_ENABLE=1
TFCI_LIB_SUFFIX="-cpu-linux-arm64"

TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_cpu
TFCI_BUILD_PIP_PACKAGE_WHEEL_NAME_ARG="--repo_env=WHEEL_NAME=tensorflow_cpu"
TFCI_DOCKER_ENABLE=1
TFCI_DOCKER_IMAGE=us-docker.pkg.dev/ml-oss-artifacts-published/ml-public-container/ml-build:latest
TFCI_DOCKER_PULL_ENABLE=1
TFCI_DOCKER_REBUILD_ARGS="--target=devel ci/official/containers/ml_build"
TFCI_INDEX_HTML_ENABLE=1
TFCI_LIB_SUFFIX="-cpu-linux-x86_64"
TFCI_OUTPUT_DIR=build_output

TFCI_DOCKER_ENABLE=1
if [[ "$TFCI_GITHUB_ACTIONS" == "true" ]]; then
  TFCI_DOCKER_ENABLE=0
fi
TFCI_DOCKER_PULL_ENABLE=1
TFCI_DOCKER_IMAGE="us-docker.pkg.dev/ml-oss-artifacts-published/ml-public-container/ml-build-windows@sha256:023fa901fda70be8890b05689d0a667287692c1f59d0abe4add7208ec5a12707"
TFCI_BAZEL_BAZELRC_ARGS="--output_user_root=C:/x"

        "https://github.com/bazelbuild/rules_shell/releases/download/v0.4.1/rules_shell-v0.4.1.tar.gz",
    ),
)

# Initialize toolchains for ML projects.
#
# A hermetic build system is designed to produce completely reproducible builds for C++.
# Details: https://github.com/google-ml-infra/rules_ml_toolchain
tf_http_archive(
    name = "rules_ml_toolchain",
    sha256 = "f2c924e85a22ba2eaa0c08657e5f5467fedbc3d0506f9cc0c69dd97ed9fbaf28",

TFCI_DOCKER_ENABLE=1
if [[ "$TFCI_GITHUB_ACTIONS" == "true" ]]; then
  TFCI_DOCKER_ENABLE=0
fi
TFCI_DOCKER_PULL_ENABLE=1
TFCI_DOCKER_IMAGE="us-docker.pkg.dev/ml-oss-artifacts-published/ml-public-container/ml-build-windows@sha256:023fa901fda70be8890b05689d0a667287692c1f59d0abe4add7208ec5a12707"
TFCI_BAZEL_BAZELRC_ARGS="--output_user_root=C:/x"

[libraries](https://www.tensorflow.org/resources/libraries-extensions), and
[community](https://www.tensorflow.org/community) resources that lets
researchers push the state-of-the-art in ML and developers easily build and
deploy ML-powered applications.

TensorFlow was originally developed by researchers and engineers working within
the Machine Intelligence team at Google Brain to conduct research in machine

  stars: 3501
  owner_login: IBM
  owner_html_url: https://github.com/IBM
- name: opyrator
  html_url: https://github.com/ml-tooling/opyrator
  stars: 3137
  owner_login: ml-tooling
  owner_html_url: https://github.com/ml-tooling
- name: docarray
  html_url: https://github.com/docarray/docarray
  stars: 3120
  owner_login: docarray
  owner_html_url: https://github.com/docarray

                                                     styleClass="form-control" placeholder="${ph_session_id}"></la:text>
                                        </div>
                                        <div class="form-group ml-sm-2">
                                            <button type="submit" class="btn btn-primary" id="submit"
                                                    name="search"

				<i class="fas fa-bars" aria-hidden="true"></i>
				<span class="sr-only"><la:message
						key="labels.admin_toggle_navi" /></span>
			</a>
		</li>
	</ul>
	<ul class="navbar-nav ml-auto">
		<c:if test="${eoled}">
		<li class="nav-item" data-toggle="tooltip" data-placement="left"
			title="<la:message key="labels.eol_error" />">