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ci/official/envs/linux_arm64
TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow" TFCI_DOCKER_ENABLE=1 TFCI_DOCKER_IMAGE=gcr.io/tensorflow-sigs/build-arm64:tf-2-16-multi-python TFCI_DOCKER_PULL_ENABLE=1 TFCI_DOCKER_REBUILD_ARGS="--target=tf ci/official/containers/linux_arm64" TFCI_INDEX_HTML_ENABLE=1 TFCI_LIB_SUFFIX="-cpu-linux-arm64" TFCI_OUTPUT_DIR=build_output TFCI_WHL_AUDIT_ENABLE=1 TFCI_WHL_AUDIT_PLAT=manylinux2014_aarch64 TFCI_WHL_BAZEL_TEST_ENABLE=1
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ci/official/README.md
# TF uses hub.docker.com/r/tensorflow/build containers for CI, # and scripts on Linux create a persistent container called "tf" # which mounts your TensorFlow directory into the container. # # Important: because the container is persistent, you cannot change TFCI # variables in between script executions. To forcibly remove the # container and start fresh, run "docker rm -f tf". Removing the container
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ci/official/envs/rbe
EOF exit 1 fi TFCI_BAZEL_COMMON_ARGS="$TFCI_BAZEL_COMMON_ARGS --config rbe_$TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX" # These flags share the user's gcloud credentials with the container, so that bazel # inside the container can authenticate. Note: TF's CI does not have any credential # stored here.
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ci/devinfra/docker_windows/Dockerfile
[Environment]::SetEnvironmentVariable(\"PATH\", $old_path + \";C:\Program Files\CMake\bin\", \"Machine\"); # Restore default shell for Windows containers. SHELL ["cmd.exe", "/s", "/c"] # Default to PowerShell if no other command specified.
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ci/official/wheel_test/README.md
"tf.foo" being imported first. The `_api/v2/api_packages.txt` file is generated during the TensorFlow API v2 init files creation process and is subsequently stored in the wheel file after the build. It also contains a few paths that cannot be directly imported. These paths point to attributes or sub-modules within a module's namespace, but they don't correspond to an actual file or directory on the filesystem. The list of
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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# different compilation methods. E.g. for a PR to test a new CUDA version, set # the CACHEBUSTER to the PR number. build --action_env=CACHEBUSTER=20220325 # Use Python 3.X as installed in container image build --action_env PYTHON_BIN_PATH="/usr/local/bin/python3" build --python_path="/usr/local/bin/python3" # Build TensorFlow v2 build --define=tf_api_version=2 --action_env=TF2_BEHAVIOR=1
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.bazelrc
# We have some invalid linker scripts in the build, # so we need to disable this check build:release_linux_base --linkopt=-Wl,--undefined-version # Container environment settings below this point. # Use Python 3.X as installed in container image build:release_linux_base --action_env PYTHON_BIN_PATH="/usr/bin/python3" build:release_linux_base --action_env PYTHON_LIB_PATH="/usr/lib/tf_python"
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CONTRIBUTING.md
development to avoid installing the packages directly on your system (in which case remember to change the directory from `/root` to `/tensorflow` once you get into the running container so `bazel` can find the `tensorflow` workspace). you can do this by using the following command. As an example- ```bash docker run -it --rm -v $PWD:/tmp -w /tmp tensorflow/build:2.15-python3.10
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tensorflow/c/BUILD
"//tensorflow/core:protos_all_cc", "//tensorflow/core:test", "//tensorflow/core:test_main", "//tensorflow/core/kernels:ops_testutil", "@com_google_absl//absl/container:inlined_vector", "@com_google_absl//absl/strings:str_format", "@eigen_archive//:eigen3", ], ) tf_cc_test( name = "ops_test", size = "medium",
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RELEASE.md
* Added support for more probability distributions (Dirichlet, Beta, Bernoulli, etc.) * Added Python interfaces to reset resource containers. * Many bugfixes and performance improvements * Many documentation fixes ## Thanks to our Contributors This release contains contributions from many people at Google, as well as: Alex Rothberg, Andrew Royer, Austin Marshall, @BlackCoal, Bob Adolf, Brian
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