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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# Use the public-access TF DevInfra cache (read only) build:sigbuild_remote_cache --remote_cache="https://storage.googleapis.com/tensorflow-devinfra-bazel-cache/manylinux2014" --remote_upload_local_results=false # Change the value of CACHEBUSTER when upgrading the toolchain, or when testing # 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
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tensorflow/c/c_api_test.cc
num_dims = TF_GraphGetTensorNumDims(graph, feed_out_0, s); ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s); EXPECT_EQ(-1, num_dims); // Set the shape to be unknown, expect no change. TF_GraphSetTensorShape(graph, feed_out_0, /*dims=*/nullptr, -1, s); ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s); num_dims = TF_GraphGetTensorNumDims(graph, feed_out_0, s);
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ci/official/requirements_updater/updater.sh
# limitations under the License. # ============================================================================== # script to run pip-compile for each requirement. # if there is a change in requirements.in then all lock files will be updated # accordingly # All commands run relative to this directory cd "$(dirname "${BASH_SOURCE[0]}")" mv BUILD.bazel BUILD
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ci/official/containers/linux_arm64/Dockerfile
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 # Setup build and environment COPY devel.usertools /usertools COPY devel.bashrc /root/.bashrc COPY ld.so.conf /dt10/etc/ # Setup JAX Python environment.
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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
# Use the public-access TF DevInfra cache (read only) build:sigbuild_remote_cache --remote_cache="https://storage.googleapis.com/tensorflow-devinfra-bazel-cache/manylinux2014" --remote_upload_local_results=false # Change the value of CACHEBUSTER when upgrading the toolchain, or when testing # 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
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CONTRIBUTING.md
checks if the PR looks good or needs additional changes. - If all looks good, the reviewer will approve the PR. - If a change is needed, the contributor is requested to make the suggested change. - You make the change and submit it for the review again. - This cycle repeats itself until the PR gets approved. - Note: As a friendly reminder, we may reach out to you if the PR is awaiting
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
One or more test dependencies are not in the pip package. If these test dependencies need to be in the TensorFlow pip package, please add them to //tensorflow/tools/pip_package/BUILD. Otherwise, add the no_pip tag to the test, or change code_check_full.bats in the SIG Build repository. That's https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/tf_sig_build_dockerfiles/devel.usertools/code_check_full.bats Here are the affected tests: EOF
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tensorflow/c/c_api.cc
// TODO(josh11b,mrry): Change Session to be able to use a Graph* // directly, instead of requiring us to serialize to a GraphDef and // call Session::Extend(). bool ExtendSessionGraphHelper(TF_Session* session, TF_Status* status) { if (session->graph != nullptr) { // Take the graph lock before the session lock to avoid deadlock. This is // safe since session->graph does not change. session->graph->mu.lock();
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ci/official/wheel_test/update_requirements.sh
# limitations under the License. # ============================================================================== # script to run pip-compile for keras, tensorboard, estimator deps. # if there is a change in requirements.in then all lock files will be updated # accordingly. # -e: abort script if one command fails # -u: error if undefined variable used # -o pipefail: entire command fails if pipe fails. watch out for yes | ...
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ci/official/README.md
2. Running the CI scripts locally, as explained below 3. **Google employees only**: Google employees can use an internal-only tool called "MLCI" that makes testing more convenient: it can execute any full CI job against a pending change. Search for "MLCI" internally to find it. You may invoke a CI script of your choice by following these instructions: ```bash cd tensorflow-git-dir
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