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ci/official/wheel_test/README.md
`python_version`: The target Python version, replacing `.` with `_`. Example: For Python 3.11, use `3_11` The script performs the following steps: 1. Navigates to the `../requirements_updater` directory. 2. Creates a `requirements_wheel_test.in` file and specifies the path to the actual TensorFlow wheel. 3. Creates a `requirements_lock_<python_version>.txt` file.
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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# test for investigation, you'll need --config=pip_venv instead, and then you # can specify whichever target you want. test:pip_venv --action_env PYTHON_BIN_PATH="/bazel_pip/bin/python3" test:pip_venv --action_env PYTHON_LIB_PATH="/bazel_pip/lib/python3/site-packages" test:pip_venv --python_path="/bazel_pip/bin/python3" test:pip_venv --define=no_tensorflow_py_deps=true test:pip --config=pip_venv # Yes, we don't exclude the gpu tests on pip for some reason.
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.github/ISSUE_TEMPLATE/tflite-other.md
- type: dropdown id: source attributes: label: Source description: Tensorflow
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.gitignore
/.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 /tensorflow/lite/gen/**
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ci/official/requirements_updater/BUILD.bazel
# ============================================================================== load("@python//3.10:defs.bzl", compile_pip_requirements_3_10 = "compile_pip_requirements") load("@python//3.11:defs.bzl", compile_pip_requirements_3_11 = "compile_pip_requirements") load("@python//3.12:defs.bzl", compile_pip_requirements_3_12 = "compile_pip_requirements") load("@python//3.9:defs.bzl", compile_pip_requirements_3_9 = "compile_pip_requirements")
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ci/official/envs/linux_x86_cuda
# limitations under the License. # ============================================================================== source ci/official/envs/linux_x86 TFCI_BAZEL_COMMON_ARGS="--repo_env=TF_PYTHON_VERSION=$TFCI_PYTHON_VERSION --config release_gpu_linux" TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_cuda TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow" TFCI_DOCKER_ARGS="--gpus all" TFCI_LIB_SUFFIX="-gpu-linux-x86_64"
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tensorflow/c/eager/parallel_device/BUILD
licenses = ["notice"], ) # Currently pybind extension shared objects must use only C API headers since # the C API has static initializers duplicated in the Python bindings. So we # need a second rule that omits .cc files, in # tensorflow/python:_pywrap_parallel_device. filegroup( name = "lib_headers", srcs = ["parallel_device_lib.h"], ) filegroup( name = "lib_sources",
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ci/official/utilities/code_check_changed_files.bats
@test "Check pylint for Python files" { echo "Python formatting is recommended. Here are the pylint errors:" echo "=============================" grep -e "\.py$" $BATS_FILE_TMPDIR/changed_files > $BATS_TEST_TMPDIR/files || true if [[ ! -s $BATS_TEST_TMPDIR/files ]]; then return 0; fi xargs -a $BATS_TEST_TMPDIR/files -n1 -P $(nproc --all) \
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WORKSPACE
load("@rules_python//python:repositories.bzl", "python_register_toolchains") # buildifier: disable=same-origin-load load( "//tensorflow/tools/toolchains/python:python_repo.bzl", "python_repository", ) python_repository(name = "python_version_repo") load("@python_version_repo//:py_version.bzl", "TF_PYTHON_VERSION") python_register_toolchains( name = "python", ignore_root_user_error = True, python_version = TF_PYTHON_VERSION,
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ci/official/requirements_updater/README.md
# Hermetic Python Hermetic Python allows not to rely on system-installed Python, and system-installed Python packages. \ Instead, an independent Python toolchain is registered, ensuring the right dependencies are always used. \ See https://github.com/bazelbuild/rules_python/ for more details. ### Specifying the Python version Note: Only a number of minor Python versions are supported at any given time.
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