# 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)

	hideInheritedFlags(manifestCmd, cli.FlagNamespace, cli.FlagIstioNamespace, FlagCharts)
	rootCmd.AddCommand(manifestCmd)

	installCmd := mesh.InstallCmd(ctx)
	hideInheritedFlags(installCmd, cli.FlagNamespace, cli.FlagIstioNamespace, FlagCharts)
	rootCmd.AddCommand(installCmd)

	upgradeCmd := mesh.UpgradeCmd(ctx)
	hideInheritedFlags(upgradeCmd, cli.FlagNamespace, cli.FlagIstioNamespace, FlagCharts)

<div class="termy">

```console
$ pip install "fastapi[all]"

---> 100%
```

</div>

...який також включає `uvicorn`, який ви можете використовувати як сервер, який запускає ваш код.

/// note

Ви також можете встановити його частина за частиною.

Це те, що ви, ймовірно, зробили б, коли захочете розгорнути свою програму у виробничому середовищі:

```
pip install fastapi
```

	<property name="maven.snapshot.repo.url" value="https://oss.sonatype.org/content/repositories/snapshots" />
	<property name="maven.release.repo.url" value="https://repo1.maven.org/maven2" />

	<target name="install.jars">
		<mkdir dir="${target.dir}" />
		<delete dir="${webinf.dir}/lib" />
		<mkdir dir="${webinf.dir}/lib" />
		<delete dir="${crawler.dir}/lib" />
		<mkdir dir="${crawler.dir}/lib" />

          python-version: "3.10"
          # Issue ref: https://github.com/actions/setup-python/issues/436
          # cache: "pip"
          # cache-dependency-path: pyproject.toml
      - name: Install build dependencies
        run: pip install build
      - name: Build distribution
        env:
          TIANGOLO_BUILD_PACKAGE: ${{ matrix.package }}
        run: python -m build
      - name: Publish

#!/bin/bash

# The website is built using MkDocs with the Material theme.
# https://squidfunk.github.io/mkdocs-material/
# It requires Python to run.
# Install the packages with the following command:
# pip install mkdocs mkdocs-material mkdocs-redirects

set -ex

# Test generating the javadoc jars
./gradlew publishToMavenLocal -DRELEASE_SIGNING_ENABLED=false

# Generate the API docs
./gradlew dokkaHtmlMultiModule

## Install

See the [TensorFlow install guide](https://www.tensorflow.org/install) for the
[pip package](https://www.tensorflow.org/install/pip), to
[enable GPU support](https://www.tensorflow.org/install/gpu), use a
[Docker container](https://www.tensorflow.org/install/docker), and
[build from source](https://www.tensorflow.org/install/source).

To install the current release, which includes support for

################################################################################

# Install devtoolset build dependencies
COPY setup.packages.sh setup.packages.sh
COPY builder.packages.txt builder.packages.txt
RUN /setup.packages.sh /builder.packages.txt
RUN update-ca-certificates
# Install devtoolset-9 in /dt10 with glibc 2.17 and libstdc++ 4.8, for building
# manylinux2014-compatible packages.

 * KIND, either express or implied.  See the License for the
 * specific language governing permissions and limitations
 * under the License.
 */
package org.apache.maven.artifact.installer;

/**
 */
@Deprecated
public class ArtifactInstallationException extends Exception {
    public ArtifactInstallationException(String message) {
        super(message);
    }

# If you occasionally need something on the container do
# sudo apt-get update && apt-get whichever

# hadolint ignore=DL3005,DL3008
RUN apt-get update && \
  apt-get install --no-install-recommends -y \
  ca-certificates \
  curl \
  iptables \
  iproute2 \
  iputils-ping \
  knot-dnsutils \
  netcat-openbsd \
  tcpdump \
  conntrack \
  bsdmainutils \
  net-tools \
  lsof \