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tensorflow/api_template_v1.__init__.py
_current_module.app.flags = flags # pylint: disable=undefined-variable setattr(_current_module, "flags", flags) _major_api_version = 1 # Add module aliases from Keras to TF. # Some tf endpoints actually lives under Keras. _current_module.layers = _KerasLazyLoader( globals(), submodule="__internal__.legacy.layers", name="layers", mode="v1") if _tf_uses_legacy_keras:
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Jan 23 02:14:00 GMT 2024 - 7.4K bytes - Viewed (0) -
ci/official/containers/linux_arm64/Dockerfile
RUN groupadd -g 1001 buildslave && useradd -m -u 1001 -g buildslave buildslave RUN mkdir -p /tf/venv RUN chown -R buildslave:buildslave /tf RUN dpkg -i /patchelf/patchelf_0.14.3-1_arm64.deb # All lines past this point are reset when $CACHEBUSTER is set. We need this # for Python specifically because we install some nightly packages which are # likely to change daily. ARG CACHEBUSTER=0 RUN echo $CACHEBUSTER
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ci/official/README.md
# export TFCI=py311,linux_x86,no_docker # Advanced: Use Remote Build Execution (RBE) (internal developers only) # # RBE dramatically speeds up builds and testing. It also gives you a # public URL to share your build results with collaborators. However, # it is only available to a limited set of internal TensorFlow developers. # # RBE is incompatible with local caching, so you must remove
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CONTRIBUTING.md
of the contribution must be compared against the cost of maintaining the feature. * Full new features (e.g., a new op implementing a cutting-edge algorithm) typically will live in [tensorflow/addons](https://github.com/tensorflow/addons) to get some airtime before a decision is made regarding whether they are to be migrated to the core.
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RELEASE.md
[Revisiting ResNets: Improved Training and Scaling Strategies](https://arxiv.org/pdf/2103.07579.pdf) * Added `tf.keras.optimizers.experimental.Optimizer`. The reworked optimizer gives more control over different phases of optimizer calls, and is easier to customize. We provide Adam, SGD, Adadelta, AdaGrad and RMSprop optimizers based on
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ci/official/utilities/code_check_full.bats
# Column 1 is left only, Column 2 is right only, Column 3 is shared lines # Select lines unique to actual_licenses, i.e. extra licenses. comm -1 -3 $BATS_TEST_TMPDIR/expected_licenses $BATS_TEST_TMPDIR/actual_licenses | grep -v -f $BATS_TEST_TMPDIR/allowed_to_be_extra > $BATS_TEST_TMPDIR/actual_extra_licenses || true # Select lines unique to expected_licenses, i.e. missing licenses
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.bazelrc
# shared libraries. As part of migrating to transitive shared libraries, we # hope to provide a better mechanism for control over symbol exporting, and # then tackle this issue again. # # TODO: Remove the following two lines once TF doesn't depend on Bazel wrapping # all library archives in -whole_archive -no_whole_archive. build --noincompatible_remove_legacy_whole_archive build --features=-force_no_whole_archive
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tensorflow/c/eager/parallel_device/parallel_device_lib.cc
// Requests that the worker thread execute the specified operation. Blocks // until the previously pending operation (a StartExecute without a Join) has // finished, if any. // // `cancellation_manager` must live until after `Join` finishes and pending // `is_async` operations finish. In addition to allowing the caller to cancel // the operation, its `StartCancel` method will be called if op execution
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