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ci/official/requirements_updater/README.md
``` --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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RELEASE.md
`tf.GradientTape` inside a `tf.function`. * Changed the default step size in `gradient_checker_v2.compute_gradients` to be exactly representable as a binary floating point numbers. This avoids poluting gradient approximations needlessly, which is some cases leads to false negatives in op gradient tests. * Added `tf.config.experimental.get_memory_info`, returning a dict with
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.bazelrc
# 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 build --define tsl_protobuf_header_only=true
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