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ci/official/wheel_test/README.md
e.g.: bash update_requirements.sh /tmp/tensorflow-2.14.0-cp311-cp311-linux_x86_64.whl 3_11 ``` #### Requirements Updater Script This script automates the process of updating TensorFlow requirements for a specific Python version. ##### Parameters `path_to_tensorflow_wheel`: The local path to the TensorFlow wheel file. Example: `/tmp/tensorflow-2.14.0-cp311-cp311-linux_x86_64.whl`
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ci/official/envs/disk_cache
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ci/official/requirements_updater/README.md
To specify the version via a Bazel command argument, use the following: ``` --repo_env=TF_PYTHON_VERSION=3.11 ``` ## Requirements updater Requirements updater is a standalone tool, intended to simplify process of updating requirements for multiple minor versions of Python. It takes in a file with a set of dependencies, and produces a more detailed requirements file for each version, with hashes specified for each
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SECURITY.md
`SavedModel`, or equivalent on-disk format), the set of computation primitives available to TensorFlow is powerful enough that you should assume that the TensorFlow process effectively executes arbitrary code. The risk of loading untrusted checkpoints depends on the code or graph that you are working with. When loading untrusted checkpoints, the values of the traced
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RELEASE.md
### `tf.data`: * Adds new `tf.data.experimental.service.register_dataset` and `tf.data.experimental.service.from_dataset_id` APIs to enable one process to register a dataset with the tf.data service, and another process to consume data from the dataset. * Adds support for dispatcher fault tolerance. To enable fault tolerance, configure a `work_dir` when running your dispatcher server and set
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ci/devinfra/docker_windows/Dockerfile
Start-Process -FilePath C:/TEMP/vs_buildtools.exe -ArgumentList "--installPath", "C:/VS", \ "--quiet", "--wait", "--nocache", \ "--add", "Microsoft.VisualStudio.Workload.VCTools", \ "--add", "Microsoft.VisualStudio.Component.VC.Tools.x86.x64", \ "--add", "Microsoft.VisualStudio.Component.Windows10SDK.19041" -Wait; \
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ci/devinfra/README.md
******************************************************************************** A directory for build and CI related scripts and jobs managed by the TensorFlow
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.bazelrc
# release_cpu_windows: Toolchain and CUDA options for Windows CPU builds. # Default build options. These are applied first and unconditionally. # For projects which use TensorFlow as part of a Bazel build process, putting # nothing in a bazelrc will default to a monolithic build. The following line # opts in to modular op registration support by default. build --define framework_shared_object=true
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