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ci/official/wheel_test/README.md
init files creation process and is subsequently stored in the wheel file after the build. It also contains a few paths that cannot be directly imported. These paths point to attributes or sub-modules within a module's namespace, but they don't correspond to an actual file or directory on the filesystem. The list of such paths is stored in the packages_for_skip variable and will be skipped during the test. ##### How to Build ```
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tensorflow/c/experimental/filesystem/modular_filesystem.cc
if (ops_->paths_exist == nullptr) return FileSystem::FilesExist(files, token, status); std::vector<char*> translated_names; translated_names.reserve(files.size()); for (int i = 0; i < files.size(); i++) translated_names.push_back(strdup(TranslateName(files[i]).c_str())); bool result; if (status == nullptr) { result = ops_->paths_exist(filesystem_.get(), translated_names.data(),
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tensorflow/c/experimental/filesystem/modular_filesystem_test.cc
// `ModularFileSystemTest()`. root_dir_ should contain `GetParam() + "://"` // if it isn't empty. return translated_name; } // Converts absolute paths to paths relative to root_dir_. StringPiece GetRelativePath(StringPiece absolute_path) { return tensorflow::str_util::StripPrefix(absolute_path, root_dir_); }
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configure.py
except subprocess.CalledProcessError: library_paths = [ run_shell([ python_bin_path, '-c', 'from distutils.sysconfig import get_python_lib;' 'print(get_python_lib())' ]) ] all_paths = set(python_paths + library_paths) # Sort set so order is deterministic all_paths = sorted(all_paths) paths = [] for path in all_paths:
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ci/official/wheel_test/test_import_api_packages.py
with open(api_packages_path) as file: return set(file.read().splitlines()) super().setUp() self.api_packages_v2 = _get_api_packages_v2() # Some paths in the api_packages_path file cannot be directly imported. # These paths may point to attributes or sub-modules within a module's # namespace, but they don't correspond to an actual file # or directory on the filesystem. self.packages_for_skip = [
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.github/workflows/cffconvert.yml
# limitations under the License. # ============================================================================== name: cffconvert on: push: paths: - CITATION.cff permissions: contents: read jobs: validate: if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks name: "validate" runs-on: ubuntu-latest
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.github/workflows/sigbuild-docker.yml
name: Upload SIG Build docker containers regularly on: workflow_dispatch: schedule: # Run once a week on Sunday at midnight. See http://crontab.guru - cron: '0 0 * * 0' push: paths: - '.github/workflows/sigbuild-docker.yml' - 'tensorflow/tools/tf_sig_build_dockerfiles/**' - '!tensorflow/tools/tf_sig_build_dockerfiles/README.md' branches: - master permissions:
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.bazelrc
# not on sm_90 GPUs. compute_80 kernels though can also run on sm_90 GPUs. build:cuda_clang --repo_env=TF_CUDA_COMPUTE_CAPABILITIES="sm_60,sm_70,sm_80,sm_89,compute_90" # Set up compilation CUDA version and paths and use the CUDA Clang toolchain. build:cuda_clang_official --config=cuda_clang build:cuda_clang_official --action_env=TF_CUDA_VERSION="12" build:cuda_clang_official --action_env=TF_CUDNN_VERSION="8"
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.github/workflows/pylint-presubmit.yml
# limitations under the License. # ============================================================================== name: PyLint on: pull_request: paths: - '**.py' permissions: contents: read jobs: build: name: PyLint runs-on: ubuntu-latest steps: - name: Checkout code
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ci/devinfra/docker_windows/Dockerfile
| Select ifIndex).ifIndex; \ New-NetRoute -DestinationPrefix 169.254.169.254/32 -InterfaceIndex $ifIndex -NextHop $gateway # Enable Long Paths for Win32 File/Folder APIs. RUN New-ItemProperty -Path HKLM:\SYSTEM\CurrentControlSet\Control\FileSystem \ -Name LongPathsEnabled -Value 1 -PropertyType DWORD -Force
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