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ci/official/containers/linux_arm64/cuda.packages.txt
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.
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
--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 + "\
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ci/official/utilities/code_check_full.bats
--@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 + "\
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docs/pt/docs/tutorial/response-status-code.md
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ci/official/envs/linux_x86_cuda
source ci/official/envs/linux_x86 TFCI_BAZEL_COMMON_ARGS="--repo_env=TF_PYTHON_VERSION=$TFCI_PYTHON_VERSION --config release_gpu_linux" TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_cuda TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow" TFCI_DOCKER_ARGS="--gpus all" TFCI_LIB_SUFFIX="-gpu-linux-x86_64"
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.cm/code_experts.cm
- commit - comment_added automations: # Also post a comment that lists the best experts for the files that were modified. comment_experts: if: - {{ ('code_experts' | isEnabledAutomation(pr)) }} run: - action: explain-code-experts@v1 args:
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ci/official/code_check_full.sh
# limitations under the License. # ============================================================================== source "${BASH_SOURCE%/*}/utilities/setup.sh"
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docs/ko/docs/tutorial/response-status-code.md
# 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"
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docs/em/docs/tutorial/response-status-code.md
🎏 🌌 👆 💪 ✔ 📨 🏷, 👆 💪 📣 🇺🇸🔍 👔 📟 ⚙️ 📨 ⏮️ 🔢 `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
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docs/ru/docs/tutorial/response-status-code.md
Вы можете задать HTTP код статуса ответа с помощью параметра `status_code` подобно тому, как вы определяете схему ответа в любой из *операций пути*: * `@app.get()` * `@app.post()` * `@app.put()` * `@app.delete()` * и других. ```Python hl_lines="6" {!../../../docs_src/response_status_code/tutorial001.py!} ``` !!! note "Примечание"
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