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ci/official/containers/linux_arm64/setup.python.sh
# # setup.python.sh: Install a specific Python version and packages for it. # Usage: setup.python.sh <pyversion> <requirements.txt> set -xe source ~/.bashrc VERSION=$1 REQUIREMENTS=$2 add-apt-repository ppa:deadsnakes/ppa # Install Python packages for this container's version cat >pythons.txt <<EOF $VERSION $VERSION-dev $VERSION-venv $VERSION-distutils EOF /setup.packages.sh pythons.txt
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ci/official/requirements_updater/README.md
### Specifying the Python version Note: Only a number of minor Python versions are supported at any given time. By default, the lowest supported version is used. To set a different version, use the `TF_PYTHON_VERSION` environment variable, e.g. ``` export TF_PYTHON_VERSION=3.11 ``` To specify the version via a Bazel command argument, use the following: ```
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ci/official/containers/linux_arm64/builder.devtoolset/build_devtoolset.sh
# # Builds a devtoolset cross-compiler targeting manylinux2014 (glibc 2.17 / libstdc++ 4.8). VERSION="$1" TARGET="$2" case "${VERSION}" in devtoolset-9) LIBSTDCXX_VERSION="6.0.28" LIBSTDCXX_ABI="new" ;; devtoolset-10) LIBSTDCXX_VERSION="6.0.28" LIBSTDCXX_ABI="new" ;; *) echo "Usage: $0 {devtoolset-9|devtoolset-10} <target-directory> <arch>"
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.github/bot_config.yml
**1. Installing **TensorFlow-GPU** (TF) prebuilt binaries** Make sure you are using compatible TF and CUDA versions. Please refer following TF version and CUDA version compatibility table. | TF | CUDA | | :-------------: | :-------------: | | 2.5.0 | 11.2 | | 2.4.0 | 11.0 | | 2.1.0 - 2.3.0 | 10.1 |
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WORKSPACE
"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, ) load("@python//:defs.bzl", "interpreter")
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ci/official/wheel_test/update_requirements.sh
# -o history: record shell history set -euo pipefail -o history # Check for required arguments if [ -z "$1" ]; then echo "Usage: $0 <path_to_tensorflow_wheel> <python_version>" exit 1 fi TENSORFLOW_WHEEL_PATH="$1" PYTHON_VERSION="$2" # All commands run relative to this directory cd "$(dirname "${BASH_SOURCE[0]}")" cd ../requirements_updater || exit 1 # Create the requirements_wheel_test.in file
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ci/official/containers/linux_arm64/builder.patchelf/build_patchelf.sh
# See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== # Need a newer version of patchelf as the installed version is buggy in 20.04 # so get patchelf source from 22.04 ie 'jammy' and build it to avoid dependency # problems that would occur with a binary package mkdir -p /patchelf cd /patchelf
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ci/official/envs/macos_x86_cross_compile
# limitations under the License. # ============================================================================== source ci/official/envs/macos_x86 TFCI_BAZEL_COMMON_ARGS="--repo_env=TF_PYTHON_VERSION=$TFCI_PYTHON_VERSION --config cross_compile_macos_x86" TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=cross_compile_macos_x86 TFCI_MACOS_CROSS_COMPILE_ENABLE=1
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.github/ISSUE_TEMPLATE/tflite-in-play-services.md
labels: 'comp:lite-in-play-services' --- **System information** - Android Device information (use `adb shell getprop ro.build.fingerprint` if possible): - TensorFlow Lite in Play Services SDK version (found in `build.gradle`): - Google Play Services version (`Settings` > `Apps` > `Google Play Services` > `App details`): **Standalone code to reproduce the issue** Provide a reproducible test case that is the bare minimum necessary to generate
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tensorflow/c/experimental/grappler/grappler.h
typedef struct TP_OptimizerRegistrationParams { size_t struct_size; void* ext; // reserved for future use // Graph C API version. int32_t major_version; int32_t minor_version; int32_t patch_version; // Backend device type supported by the optimizer. const char* device_type; TP_OptimizerConfigs* optimizer_configs; // output, set by plugin
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