Ich zeige Ihnen auch das **offizielle Docker-Image**, welches **Gunicorn mit Uvicorn-Workern** und einige Standardkonfigurationen enthält, die für einfache Fälle nützlich sein können.

a.inArray("jpg",c)>-1&&a.inArray("jpeg",c)===-1?c.push("jpeg"):a.inArray("jpeg",c)>-1&&a.inArray("jpg",c)===-1&&c.push("jpg"),c},e=function(a,b,c,d){var e=d[b]||"";a.errorMessageKey="",a.errorMessage=e.replace("%s",c)},f=function(c,d,e){var f=new FileReader,g=new Image;f.readAsDataURL(c),f.onload=function(c){g.onload=function(){a(b).trigger("imageValidation",[this]),d(this)},g.onerror=function(){e()},g.src=c.target.result}};a.formUtils.addValidator({name:"mime",validatorFunction:function(b,f,g,h){if(c){var i=!0,...

  grep -v "twine" $REQUIREMENTS > requirements_without_twine.txt
  REQUIREMENTS=requirements_without_twine.txt
fi

# Disable the cache dir to save image space, and install packages

&[type=\"checkbox\"] {\n      @if $enable-gradients {\n        --#{$prefix}form-check-bg-image: #{escape-svg($form-check-input-checked-bg-image)}, var(--#{$prefix}gradient);\n      } @else {\n        --#{$prefix}form-check-bg-image: #{escape-svg($form-check-input-checked-bg-image)};\n      }\n    }\n\n    &[type=\"radio\"] {\n      @if $enable-gradients {\n        --#{$prefix}form-check-bg-image: #{escape-svg($form-check-radio-checked-bg-image)}, var(--#{$prefix}gradient);\n      } @else {\n        --#{$prefix}form-check-bg-image:...

[registry.k8s.io/kube-apiserver:v1.27.11](https://console.cloud.google.com/gcr/images/k8s-artifacts-prod/us/kube-apiserver) | [amd64](...

  tfrun nvidia-smi
fi

# Update the version numbers for Nightly only
if [[ "$TFCI_NIGHTLY_UPDATE_VERSION_ENABLE" == 1 ]]; then
  python_bin=python3
  # TODO(belitskiy): Add a `python3` alias/symlink to Windows Docker image.
  if [[ $(uname -s) = MSYS_NT* ]]; then
    python_bin="python"
  fi
  tfrun "$python_bin" tensorflow/tools/ci_build/update_version.py --nightly
fi

if [[ $(uname -s) != MSYS_NT* ]]; then

* specify azure file share name in azure file plugin ([#76988](https://github.com/kubernetes/kubernetes/pull/76988), [@andyzhangx](https://github.com/andyzhangx))
* Windows nodes on GCE use a known-working 1809 image rather than the latest 1809 image. ([#76722](https://github.com/kubernetes/kubernetes/pull/76722), [@pjh](https://github.com/pjh))

```console
$ docker build -t myimage .

---> 100%
```

</div>

/// tip | 팁

맨 끝에 있는 `.` 에 주목합시다. 이는 `./`와 동등하며, 도커에게 컨테이너 이미지를 빌드하기 위한 디렉터리를 알려줍니다.

이 경우에는 현재 디렉터리(`.`)와 같습니다.

///

### 도커 컨테이너 시작하기

* 여러분의 이미지에 기반하여 컨테이너를 실행합니다:

<div class="termy">

```console
$ docker run -d --name mycontainer -p 80:80 myimage
```

</div>

## 체크하기

        ops.
    *   Add `tf.image.psnr`, `tf.image.ssim`, `tf.image.ssim_multiscale`,
        `tf.image.image_gradients`, `tf.image.sobel_edges`.
    *   Add links to https://js.tensorflow.org.
    *   Fix non-uniformity of orthogonal matrices.
    *   Fix bug where multi-image Estimator eval summaries were not displayed
        correctly.

        final String path = ClassUtil.getPackageName(this.getClass()).replaceAll("\\.", "/") + "/ccc.gif";
        final String contentType = MimeTypeUtil.guessContentType(path);
        assertEquals("image/gif", contentType);
    }

    /**
     * @throws Exception
     */
    @Test
    public void testGetFromPath() throws Exception {