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docs/de/docs/tutorial/index.md
Das folgende würden Sie wahrscheinlich tun, wenn Sie Ihre Anwendung in der Produktion einsetzen: ``` pip install fastapi ``` Installieren Sie auch `uvicorn` als Server: ``` pip install "uvicorn[standard]" ``` Das gleiche gilt für jede der optionalen Abhängigkeiten, die Sie verwenden möchten. ## Handbuch für fortgeschrittene Benutzer
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docs/fr/docs/tutorial/index.md
C'est ce que vous feriez probablement une fois que vous voudrez déployer votre application en production : ``` pip install fastapi ``` Installez également `uvicorn` pour qu'il fonctionne comme serveur : ``` pip install uvicorn ``` Et la même chose pour chacune des dépendances facultatives que vous voulez utiliser. ## Guide utilisateur avancé
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README.md
See all the [mailing lists](https://www.tensorflow.org/community/forums). ## 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).
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docs/em/docs/tutorial/index.md
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docs/zh/docs/advanced/templates.md
在 Starlette 的支持下,**FastAPI** 应用可以直接使用工具轻易地配置 Jinja2。 ## 安装依赖项 安装 `jinja2`: <div class="termy"> ```console $ pip install jinja2 ---> 100% ``` </div> 如需使用静态文件,还要安装 `aiofiles`: <div class="termy"> ```console $ pip install aiofiles ---> 100% ``` </div> ## 使用 `Jinja2Templates` * 导入 `Jinja2Templates` * 创建可复用的 `templates` 对象
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ci/official/containers/linux_arm64/devel.usertools/wheel_verification.bats
# up in teardown_file() above. @test "Wheel is installable" { python3 -m venv /tf/venv source /tf/venv/bin/activate python3 -m pip install --upgrade setuptools wheel python3 -m pip install "$TF_WHEEL" } @test "TensorFlow is importable" { source /tf/venv/bin/activate
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.gitignore
.DS_Store .ipynb_checkpoints node_modules /.bazelrc.user /.tf_configure.bazelrc /xla_configure.bazelrc /bazel-* /bazel_pip /tools/python_bin_path.sh /tensorflow/tools/git/gen /pip_test /_python_build *.pyc __pycache__ *.swp .vscode/ cmake_build/ tensorflow/contrib/cmake/_build/ .idea/** /build/ [Bb]uild/ /build_output/ /tensorflow/core/util/version_info.cc /tensorflow/python/framework/fast_tensor_util.cpp
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ci/official/envs/ci_default
TFCI_ARTIFACT_FINAL_PYPI_ENABLE= TFCI_ARTIFACT_LATEST_GCS_URI= TFCI_ARTIFACT_STAGING_GCS_ENABLE= TFCI_ARTIFACT_STAGING_GCS_URI= TFCI_BAZEL_BAZELRC_ARGS= TFCI_BAZEL_COMMON_ARGS= TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX= TFCI_BUILD_PIP_PACKAGE_ARGS= TFCI_DOCKER_ARGS= TFCI_DOCKER_ENABLE= TFCI_DOCKER_IMAGE= TFCI_DOCKER_PULL_ENABLE= TFCI_DOCKER_REBUILD_ARGS= TFCI_DOCKER_REBUILD_ENABLE= TFCI_DOCKER_REBUILD_UPLOAD_ENABLE= TFCI_GIT_DIR=
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docs/en/docs/deployment/manually.md
When you install FastAPI with something like `pip install fastapi` you already get `uvicorn[standard]` as well. === "Hypercorn" * <a href="https://gitlab.com/pgjones/hypercorn" class="external-link" target="_blank">Hypercorn</a>, an ASGI server also compatible with HTTP/2. <div class="termy"> ```console $ pip install hypercorn ---> 100% ``` </div>
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ci/official/containers/linux_arm64/devel.usertools/test.requirements.txt
# Test dependencies for pip tests grpcio ~= 1.42.0 portpicker ~= 1.5.2 scipy ~= 1.7.3 jax ~= 0.2.26
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