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 + "\

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

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

!!! note "Nota"

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"

# 응답 상태 코드

응답 모델과 같은 방법으로, 어떤 *경로 작동*이든 `status_code` 매개변수를 사용하여 응답에 대한 HTTP 상태 코드를 선언할 수 있습니다.

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

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

!!! note "참고"
    `status_code` 는 "데코레이터" 메소드(`get`, `post` 등)의 매개변수입니다. 모든 매개변수들과 본문처럼 *경로 작동 함수*가 아닙니다.

`status_code` 매개변수는 HTTP 상태 코드를 숫자로 입력받습니다.

!!! info "정보"

🎏 🌌 👆 💪 ✔ 📨 🏷, 👆 💪 📣 🇺🇸🔍 👔 📟 ⚙️ 📨 ⏮️ 🔢 `status_code` 🙆 *➡ 🛠️*:

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

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

!!! note
    👀 👈 `status_code` 🔢 "👨‍🎨" 👩‍🔬 (`get`, `post`, ♒️). 🚫 👆 *➡ 🛠️ 🔢*, 💖 🌐 🔢 & 💪.

`status_code` 🔢 📨 🔢 ⏮️ 🇺🇸🔍 👔 📟.

!!! info

[codeofconduct_at]: mailto:******@****.***
[twitter_coc]: https://github.com/twitter/code-of-conduct/blob/master/code-of-conduct.md
[ubuntu_coc]: https://ubuntu.com/community/code-of-conduct
[gdc_coc]: https://www.gdconf.com/code-of-conduct