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ci/official/README.md
# First, set your TFCI variable to choose the environment settings. # TFCI is a comma-separated list of filenames from the envs directory, which # are all settings for the scripts. TF's CI jobs are all made of a combination # of these env files. # # If you've clicked on a test result from our CI (via a dashboard or GitHub link), # click to "Invocation Details" and find BUILD_CONFIG, which will contain a TFCI
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CONTRIBUTING.md
* Rebase your pull request onto a recent pull from [TensorFlow's](https://github.com/tensorflow/tensorflow) master branch. 2. If you are changing the code and the docstring of a class/function/method, then you will need to [build TensorFlow from source](https://www.tensorflow.org/install/source). Once you are setup to build from source, you can run the tests: ```bash
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ci/official/containers/linux_arm64/Dockerfile
COPY apt.conf /etc/apt/ RUN /build_patchelf.sh ################################################################################ FROM nvidia/cuda:12.3.1-devel-ubuntu20.04 as devel ################################################################################ COPY --from=builder /dt10 /dt10 COPY --from=builder /patchelf/patchelf_0.14.3-1_arm64.deb /patchelf/patchelf_0.14.3-1_arm64.deb # Install devtoolset devel dependencies
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RELEASE.md
* Upgrade Flatbuffers v2.0.5 from v1.12.0 * `tf.keras`: * `EinsumDense` layer is moved from experimental to core. Its import path is moved from `tf.keras.layers.experimental.EinsumDense` to `tf.keras.layers.EinsumDense`. * Added `tf.keras.utils.audio_dataset_from_directory` utility to easily generate audio classification datasets from directories of `.wav` files.
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WORKSPACE
# restriction that load() statements need to be at the top of .bzl files. # E.g. we can not retrieve a new repository with http_archive and then load() # a macro from that repository in the same file. load("@//tensorflow:workspace3.bzl", "tf_workspace3") tf_workspace3() load("@//tensorflow:workspace2.bzl", "tf_workspace2") tf_workspace2()
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ci/official/envs/enable_pycpp_build
# See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== # # Changes the behavior in pycpp.sh from "run all tests" to "verify that all # tests can compile." Used in some CI jobs (macOS and Linux Arm64) where test # execution is too expensive. TFCI_PYCPP_SWAP_TO_BUILD_ENABLE=1
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tensorflow/BUILD
# shared object directly. # # For example, from Python tf.load_op_library loads a custom op library (via # dlopen() on Linux), the library finds libtensorflow_framework.so (no # filesystem search takes place, since libtensorflow_framework.so has already # been loaded by pywrap_tensorflow) and registers its ops and kernels via # REGISTER_OP and REGISTER_KERNEL_BUILDER (which use symbols from
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ci/official/utilities/code_check_full.bats
# Find all one-step dependencies of those tests which are from //tensorflow # (since external deps will come from Python-level pip dependencies), # excluding dependencies and files that are known to be unneccessary. # This creates a list of targets under //tensorflow that are required for
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.bazelrc
build --define tsl_protobuf_header_only=true build --define=use_fast_cpp_protos=true build --define=allow_oversize_protos=true build --spawn_strategy=standalone build -c opt # Make Bazel print out all options from rc files. build --announce_rc # TODO(mihaimaruseac): Document this option or remove if no longer needed build --define=grpc_no_ares=true # See https://github.com/bazelbuild/bazel/issues/7362 for information on what
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