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RELEASE.md
keras * **Apple Silicon users:** If you previously installed TensorFlow using `pip install tensorflow-macos`, please update your installation method. Use `pip install tensorflow` from now on. * **Mac x86 users:** Mac x86 builds are being deprecated and will no longer be released as a Pip package from TF 2.17 onwards. ### Known Caveats * <CAVEATS REGARDING THE RELEASE (BUT NOT BREAKING CHANGES).>
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ci/official/utilities/code_check_full.bats
//tensorflow/lite/python:interpreter_test.py EOF # Get the full list of files and targets which get included into the pip # package bazel cquery --keep_going 'deps(//tensorflow/tools/pip_package:wheel)' | sort -u > $BATS_TEST_TMPDIR/pip_deps # Find all Python py_test targets not tagged "no_pip" or "manual", excluding # any targets in ignored packages. Combine this list of targets into a bazel
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ci/official/wheel_test/WORKSPACE
python_register_toolchains( name = "python", ignore_root_user_error = True, python_version = TF_PYTHON_VERSION, ) load("@python//:defs.bzl", "interpreter") load("@rules_python//python:pip.bzl", "pip_parse") pip_parse( name = "pypi", python_interpreter_target = interpreter, requirements = "//:requirements_lock_" + TF_PYTHON_VERSION.replace(".", "_") + ".txt", )
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ci/official/envs/linux_x86_tpu
TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_tpu TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow_tpu" TFCI_LIB_SUFFIX="-tpu-linux-x86_64" TFCI_WHL_BAZEL_TEST_ENABLE=0 TFCI_WHL_IMPORT_TEST_ENABLE=0 TFCI_WHL_SIZE_LIMIT=580M
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docs/de/docs/deployment/docker.md
Die Option `--no-cache-dir` weist `pip` an, die heruntergeladenen Pakete nicht lokal zu speichern, da dies nur benötigt wird, sollte `pip` erneut ausgeführt werden, um dieselben Pakete zu installieren, aber das ist beim Arbeiten mit Containern nicht der Fall. !!! note "Hinweis" Das `--no-cache-dir` bezieht sich nur auf `pip`, es hat nichts mit Docker oder Containern zu tun.
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docs/en/docs/deployment/docker.md
The `--no-cache-dir` option tells `pip` to not save the downloaded packages locally, as that is only if `pip` was going to be run again to install the same packages, but that's not the case when working with containers. !!! note The `--no-cache-dir` is only related to `pip`, it has nothing to do with Docker or containers. The `--upgrade` option tells `pip` to upgrade the packages if they are already installed.
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docs/pt/docs/deployment/docker.md
A opção `--no-cache-dir` diz ao `pip` para não salvar os pacotes baixados localmente, pois isso só aconteceria se `pip` fosse executado novamente para instalar os mesmos pacotes, mas esse não é o caso quando trabalhamos com contêineres. !!! note `--no-cache-dir` é apenas relacionado ao `pip`, não tem nada a ver com Docker ou contêineres.
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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 "$TF_WHEEL" } @test "TensorFlow is importable" { source /tf/venv/bin/activate
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ci/official/envs/macos_arm64
TFCI_BAZEL_COMMON_ARGS="--repo_env=TF_PYTHON_VERSION=$TFCI_PYTHON_VERSION --config release_macos_arm64" TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=macos_arm64 TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow" TFCI_INDEX_HTML_ENABLE=1 TFCI_LIB_SUFFIX="-cpu-darwin-arm64" TFCI_MACOS_BAZEL_TEST_DIR_ENABLE=1 TFCI_MACOS_BAZEL_TEST_DIR_PATH="/Volumes/BuildData/bazel_output"
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