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ci/official/requirements_updater/requirements.in
# TODO(b/304751256): Adjust the numpy pin to a single version, when ready numpy ~= 1.23.5 ; python_version <= "3.11" numpy ~= 1.26.0 ; python_version >= "3.12" wheel ~= 0.41.2 h5py >= 3.10.0 lit ~= 17.0.2 opt_einsum == 3.3.0 astunparse == 1.6.3 dill == 0.3.7 astor == 0.7.1 typing_extensions == 4.8.0 gast == 0.4.0 termcolor == 2.3.0 wrapt == 1.16.0 tblib == 2.0.0 # Install tensorboard, and keras
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CONTRIBUTING.md
# Contributing guidelines ## Pull Request Checklist Before sending your pull requests, make sure you do the following: - Read the [contributing guidelines](CONTRIBUTING.md). - Read the [Code of Conduct](CODE_OF_CONDUCT.md). - Ensure you have signed the [Contributor License Agreement (CLA)](https://cla.developers.google.com/). - Check if your changes are consistent with the
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.github/workflows/arm-cd.yml
name: ARM CD on: push: tags: - v2.** branches: - r2.** schedule: - cron: '0 8 * * *' permissions: contents: read jobs: build: if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks runs-on: [self-hosted, linux, ARM64] strategy: fail-fast: false matrix:
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RELEASE.md
`"LOCAL"` (case insensitive). If `"AUTO"`, tf.data service runtime decides which workers to read from. If `"ANY"`, TF workers read from any tf.data service workers. If `"LOCAL"`, TF workers will only read from local in-processs tf.data service workers. `"AUTO"` works well for most cases, while users can specify other targets. For example, `"LOCAL"`
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.github/workflows/arm-ci-extended.yml
name: ARM CI Extended on: push: tags: - v2.** schedule: - cron: '0 4 * * *' permissions: contents: read jobs: build: if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks runs-on: [self-hosted, linux, ARM64] strategy: fail-fast: false matrix:
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tensorflow/c/experimental/filesystem/plugins/posix/posix_filesystem.cc
ops->read_only_memory_region_ops = static_cast<TF_ReadOnlyMemoryRegionOps*>( plugin_memory_allocate(TF_READ_ONLY_MEMORY_REGION_OPS_SIZE)); ops->read_only_memory_region_ops->cleanup = tf_read_only_memory_region::Cleanup; ops->read_only_memory_region_ops->data = tf_read_only_memory_region::Data; ops->read_only_memory_region_ops->length = tf_read_only_memory_region::Length;
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.github/workflows/update-rbe.yml
# to reference the most recent versions of the SIG Build Docker images. name: Update RBE Configs on: workflow_dispatch: permissions: contents: read jobs: rbe: name: Update RBE Configs runs-on: ubuntu-latest if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks steps: - name: Checkout code
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ci/official/utilities/code_check_full.bats
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 while read dep; do echo "For dependency $dep:" # For every missing dependency, find the tests which directly depend on # it, and print that list for debugging. Not really clear if this is
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configure.py
n_ask_attempts=_DEFAULT_PROMPT_ASK_ATTEMPTS): """Loop over user prompts for an ENV param until receiving a valid response. For the env param var_name, read from the environment or verify user input until receiving valid input. When done, set var_name in the environ_cp to its new value. Args: environ_cp: (Dict) copy of the os.environ.
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tensorflow/c/eager/c_api_distributed_test.cc
string VariableAddFunctionWithGraphError() { string signature = VariableAddFunctionSignature(); // Replace the node 'read0' with 'read0_maybe_with_graph_error', so that the // error injecting pass can identify and introduce graph pass errors. signature = std::regex_replace(signature, std::regex("read0"), "read0_maybe_with_graph_error"); tensorflow::FunctionDef def;
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