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ci/official/bisect.sh
# # export TFCI=... # export TF_BISECT_SCRIPT=ci/official/any.sh # export TF_BISECT_GOOD=a_good_commit_sha # export TF_BISECT_BAD=a_failing_commit_sha # export TF_ANY_TARGETS="quoted list of targets, like on the command line" # export TF_ANY_MODE=test set -euxo pipefail cd "$(dirname "$0")/../../" # tensorflow/
Shell Script - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Thu Feb 01 03:21:19 GMT 2024 - 1.8K bytes - Viewed (0) -
ci/official/utilities/get_versions.sh
# $2 in <Tensor'flow'> is <flow>. This is useful for reading string literals like below. export TF_VER_SUFFIX=$(awk -F\" '/#define TF_VERSION_SUFFIX/ {print $2}' tensorflow/core/public/version.h) export TF_VER_PYTHON=$(awk -F\' '/_VERSION =/ {print $2}' tensorflow/tools/pip_package/setup.py) # Derived helper variables. export TF_VER_SHORT="${TF_VER_MAJOR}.${TF_VER_MINOR}"
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Jan 10 19:39:41 GMT 2024 - 2.3K bytes - Viewed (0) -
ci/official/requirements_updater/README.md
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: ``` --repo_env=TF_PYTHON_VERSION=3.11 ``` ## Requirements updater
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ci/official/README.md
# compilers, etc. can cause undefined behavior such as build failures # or tests passing incorrectly. # - Automatic LLVM updates are known to extend build time even with # the cache; this is unavoidable. export TFCI=py311,linux_x86,public_cache,disk_cache # Recommended: Configure Docker. (Linux only) # # TF uses hub.docker.com/r/tensorflow/build containers for CI,
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ci/official/containers/linux_arm64/setup.packages.sh
# # setup.packages.sh: Given a list of Ubuntu packages, install them and clean up. # Usage: setup.packages.sh <package_list.txt> set -e # Prevent apt install tzinfo from asking our location (assumes UTC) export DEBIAN_FRONTEND=noninteractive apt-get update # Remove commented lines and blank lines apt-get install -y --no-install-recommends $(sed -e '/^\s*#.*$/d' -e '/^\s*$/d' "$1" | sort -u)
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Sep 29 00:26:34 GMT 2023 - 1.1K bytes - Viewed (0) -
ci/official/containers/linux_arm64/setup.sources.sh
# Usage: setup.python.sh <pyversion> <requirements.txt> # Sets up custom apt sources for our TF images. # Prevent apt install tzinfo from asking our location (assumes UTC) export DEBIAN_FRONTEND=noninteractive # Set up shared custom sources apt-get update apt-get install -y gnupg ca-certificates # Deadsnakes: https://launchpad.net/~deadsnakes/+archive/ubuntu/ppa
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Sep 18 14:52:45 GMT 2023 - 1.7K bytes - Viewed (0) -
ci/official/utilities/setup_macos.sh
# with ample storage. When this variable is empty (i.e by default), Bazel will # use the output base directory to run tests. if [[ "${TFCI_MACOS_BAZEL_TEST_DIR_ENABLE}" == 1 ]]; then mkdir -p "${TFCI_MACOS_BAZEL_TEST_DIR_PATH}" export TEST_TMPDIR="${TFCI_MACOS_BAZEL_TEST_DIR_PATH}" fi # "TFCI_MACOS_INSTALL_BAZELISK_ENABLE" is used to decide if we need to install # Bazelisk manually. We enable this for macOS x86 builds as those VMs do not
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 15:23:28 GMT 2024 - 6.2K bytes - Viewed (0) -
ci/official/wheel.sh
# Update the version numbers for Nightly only if [[ "$TFCI_NIGHTLY_UPDATE_VERSION_ENABLE" == 1 ]]; then tfrun python3 tensorflow/tools/ci_build/update_version.py --nightly # replace tensorflow to tf_nightly in the wheel name export TFCI_BUILD_PIP_PACKAGE_ARGS="$(echo $TFCI_BUILD_PIP_PACKAGE_ARGS | sed 's/tensorflow/tf_nightly/')" fi tfrun bazel build $TFCI_BAZEL_COMMON_ARGS //tensorflow/tools/pip_package:wheel $TFCI_BUILD_PIP_PACKAGE_ARGS
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Mar 06 21:54:13 GMT 2024 - 1.8K bytes - Viewed (0) -
SECURITY.md
performance limitations. ## Multi-Tenant environments It is possible to run multiple TensorFlow models in parallel. For example, `ModelServer` collates all computation graphs exposed to it (from multiple `SavedModel`) and executes them in parallel on available executors. Running TensorFlow in a multitenant design mixes the risks described above with the
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ci/official/containers/linux_arm64/devel.bashrc
# Do not print anything if this is not being used interactively [ -z "$PS1" ] && return # Set up attractive prompt export PS1="\[\e[31m\]tf-docker\[\e[m\] \[\e[33m\]\w\[\e[m\] > " export TERM=xterm-256color alias grep="grep --color=auto" alias ls="ls --color=auto" # Fix nvidia-docker
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