*$py.class

# C extensions
*.so

# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST

# PyInstaller
#  Usually these files are written by a python script from a template
#  before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec

  ;;
devtoolset-9)
  LIBSTDCXX_VERSION="6.0.28"
  LIBSTDCXX_ABI="new"
  ;;
*)
  echo "Usage: $0 {devtoolset-7|devtoolset-9} <target-directory>"
  echo "Use 'devtoolset-7' to build a manylinux2010 compatible toolchain or 'devtoolset-9' to build a manylinux2014 compatible toolchain"
  exit 1
  ;;
esac

mkdir -p "${TARGET}"

# Download glibc's shared and development libraries based on the value of the
# `VERSION` parameter.

Rene Groeschke <******@****.***> <******@****.***>
Rene Groeschke <******@****.***> <******@****.***>
Rene Groeschke <******@****.***> <******@****.***>
Rene Groeschke <******@****.***> <rgroeschke@builds.gradle.org>
Ryan <******@****.***> <******@****.***>
Rodrigo B. de Oliveira <******@****.***> <******@****.***>
Sebastian Schuberth <******@****.***> <******@****.***>

        this.javadocConverter = javadocConverter;
        this.listener = listener;
    }

    /**
     * Builds the class comment for the given class.
     */
    void build(ClassDoc classDoc) {
        classDoc.setComment(javadocConverter.parse(classDoc.getClassMetaData(), listener).getDocbook());
    }

# TensorFlow C API

- See [www.tensorflow.org/install/lang_c](https://www.tensorflow.org/install/lang_c)
- Nightly builds:
  - [Linux CPU-only](https://storage.googleapis.com/tensorflow-nightly/github/tensorflow/lib_package/libtensorflow-cpu-linux-x86_64.tar.gz)
  - [Linux GPU](https://storage.googleapis.com/tensorflow-nightly/github/tensorflow/lib_package/libtensorflow-gpu-linux-x86_64.tar.gz)

    private final DslDocModel model;

    public ReferencedTypeBuilder(DslDocModel model) {
        this.model = model;
    }

    /**
     * Builds the docs for types referenced by properties and methods of the given class.
     */
    public void build(ClassDoc classDoc) {
        for (PropertyDoc propertyDoc : classDoc.getClassProperties()) {
            String referencedType = propertyDoc.getMetaData().getType().getName();

if [[ "${STATIC}" !=  "1" ]];then
    LDFLAGS=""
fi

# gather buildinfo if not already provided
# For a release build BUILDINFO should be produced
# at the beginning of the build and used throughout
if [[ -z ${BUILDINFO} ]];then
    BUILDINFO=$(mktemp)
    "${SCRIPTPATH}/report_build_info.sh" > "${BUILDINFO}"
fi

# BUILD LD_EXTRAFLAGS
LD_EXTRAFLAGS=""

while read -r line; do
    LD_EXTRAFLAGS="${LD_EXTRAFLAGS} -X ${line}"

# This target should be expanded upon as we add more Linux architectures: i.e. build-arm64.
# Then a new build target can be created such as build-container-bin that builds these
# various platform images.
.PHONY: build-linux
build-linux: depend
	GOOS=linux GOARCH=$(GOARCH_LOCAL) LDFLAGS=$(RELEASE_LDFLAGS) common/scripts/gobuild.sh $(TARGET_OUT_LINUX)/ -tags=$(STANDARD_TAGS) $(STANDARD_BINARIES)

# Note: this is not set to "--cpu", because that changes the package name
# to tensorflow_cpu. These ARM builds are supposed to have the name "tensorflow"
# despite lacking Nvidia CUDA support.
TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow"
TFCI_DOCKER_ENABLE=1
TFCI_DOCKER_IMAGE=us-central1-docker.pkg.dev/tensorflow-sigs/tensorflow/build-arm64:tf-2-18-multi-python
TFCI_DOCKER_PULL_ENABLE=1

}

function _build() {
	local osarch=$1
	IFS=/ read -r -a arr <<<"$osarch"
	os="${arr[0]}"
	arch="${arr[1]}"
	package=$(go list -f '{{.ImportPath}}')
	printf -- "--> %15s:%s\n" "${osarch}" "${package}"

	# go build -trimpath to build the binary.
	export GOOS=$os
	export GOARCH=$arch
	export GO111MODULE=on
	go build -trimpath -tags kqueue -o /dev/null
}

function main() {