libcudnn8=8.9.6.50-1+cuda12.2
libcudnn8-dev=8.9.6.50-1+cuda12.2

# This can be removed once NVIDIA publishes a cuda-12.3.2 Docker image.
# For now it ensures that we install at least version 12.3.107 of PTXAS,
# since 12.3.103 has a bug.

    --experimental_cc_shared_library \
    --@local_config_cuda//:enable_cuda \
    --define framework_shared_object=false \
    "somepath(//tensorflow/tools/pip_package:build_pip_package, " \
    "@local_config_cuda//cuda:cudart + "\
    "@local_config_cuda//cuda:cudart + "\
    "@local_config_cuda//cuda:cuda_driver + "\
    "@local_config_cuda//cuda:cudnn + "\
    "@local_config_cuda//cuda:curand + "\
    "@local_config_cuda//cuda:cusolver + "\

    --@local_config_cuda//:enable_cuda \
    --define framework_shared_object=false \
    "somepath(//tensorflow/tools/pip_package:wheel, " \
    "@local_config_cuda//cuda:cudart + "\
    "@local_config_cuda//cuda:cudart + "\
    "@local_config_cuda//cuda:cuda_driver + "\
    "@local_config_cuda//cuda:cudnn + "\
    "@local_config_cuda//cuda:curand + "\
    "@local_config_cuda//cuda:cusolver + "\

source ci/official/envs/linux_x86
TFCI_BAZEL_COMMON_ARGS="--repo_env=TF_PYTHON_VERSION=$TFCI_PYTHON_VERSION --config release_gpu_linux"
TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_cuda
TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow"
TFCI_DOCKER_ARGS="--gpus all"
TFCI_LIB_SUFFIX="-gpu-linux-x86_64"

  - commit
  - comment_added

automations:

  # Also post a comment that lists the best experts for the files that were modified.
  comment_experts:
    if:
      - {{ ('code_experts' | isEnabledAutomation(pr)) }}
    run:
      - action: explain-code-experts@v1
        args:

# limitations under the License.
# ==============================================================================
source "${BASH_SOURCE%/*}/utilities/setup.sh"

val codenarcVersion = if (isAtLeastGroovy4) "3.1.0-groovy-4.0" else "3.1.0"

dependencies {
    rules("gradlebuild:code-quality-rules") {
        because("Provides rules defined in XML files")
    }
    codenarc("gradlebuild:code-quality-rules") {
        because("Provides the IntegrationTestFixturesRule implementation")
    }
    codenarc("org.codenarc:CodeNarc:$codenarcVersion")

* `@app.get()`
* `@app.post()`
* `@app.put()`
* `@app.delete()`
* usw.

```Python hl_lines="6"
{!../../../docs_src/response_status_code/tutorial001.py!}
```

!!! note "Hinweis"

与指定响应模型的方式相同，在以下任意*路径操作*中，可以使用 `status_code` 参数声明用于响应的 HTTP 状态码：

* `@app.get()`
* `@app.post()`
* `@app.put()`
* `@app.delete()`
* 等……

```Python hl_lines="6"
{!../../../docs_src/response_status_code/tutorial001.py!}
```

!!! note "笔记"

    注意，`status_code` 是（`get`、`post` 等）**装饰器**方法中的参数。与之前的参数和请求体不同，不是*路径操作函数*的参数。

`status_code` 参数接收表示 HTTP 状态码的数字。

!!! info "说明"

* `@app.get()`
* `@app.post()`
* `@app.put()`
* `@app.delete()`
* など。

```Python hl_lines="6"
{!../../../docs_src/response_status_code/tutorial001.py!}
```

!!! note "備考"
    `status_code`は「デコレータ」メソッド（`get`、`post`など）のパラメータであることに注意してください。すべてのパラメータやボディのように、*path operation関数*のものではありません。

`status_code`パラメータはHTTPステータスコードを含む数値を受け取ります。

!!! info "情報"