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ci/official/wheel_test/README.md
the local wheel file specified in the `requirements_lock_<python_version>.txt`. Packages are imported one by one in alphabetical order during runtime. The test doesn't identify package's order-dependent issues; for instance, importing "tf.foo" followed by "tf.bar" won't reveal that "tf.bar" depends on "tf.foo" being imported first.
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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# through bazel. This must be done in a different root directory, //bazel_pip/..., # because "import tensorflow" run from the root directory would instead import # the folder instead of the venv package. # # Pass --config=pip to run the same suite of tests. If you want to run just one # test for investigation, you'll need --config=pip_venv instead, and then you
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tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache.cc
} else { // Remove the stale block and continue. RemoveFile_Locked(key.first); } } // Insert a new empty block, setting the bookkeeping to sentinel values // in order to update them as appropriate. auto new_entry = std::make_shared<Block>(); lru_list_.push_front(key); lra_list_.push_front(key); new_entry->lru_iterator = lru_list_.begin();
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tensorflow/c/experimental/filesystem/modular_filesystem_test.cc
// // As some filesystems require special setup, these tests are run manually. // // Each filesystem implementation can be provided by DSOs, so we provide the // `--dsos` flag to specify a list of shared objects to be loaded in order. // If the flag is not used, no shared objects are loaded. // // Every filesystem provides support for accessing URIs of form // `[<scheme>://]<path>` where `<scheme>` is optional (if missing, we are
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tensorflow/c/c_api_test.cc
#include "tensorflow/core/lib/core/status_test_util.h" #include "tensorflow/core/lib/io/path.h" #include "tensorflow/core/platform/path.h" #include "tensorflow/core/platform/protobuf.h" #include "tensorflow/core/platform/resource_loader.h" #include "tensorflow/core/platform/str_util.h" #include "tensorflow/core/platform/strcat.h" #include "tensorflow/core/platform/test.h" #include "tensorflow/core/protobuf/error_codes.pb.h"
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ci/devinfra/README.md
# DevInfra CI Directory > **Warning** This folder is still under construction. It is part of an ongoing > effort to improve the structure of CI and build related files within the > TensorFlow repo. This warning will be removed when the contents of this > directory are stable and appropriate documentation around its usage is in > place. Maintainer: TensorFlow DevInfra Issue Reporting: File an issue against this repo and tag
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.github/workflows/sigbuild-docker.yml
runs-on: ubuntu-latest strategy: matrix: python-version: [python3.9, python3.10, python3.11, python3.12] steps: - name: Delete unnecessary tools folder run: rm -rf /opt/hostedtoolcache - name: Checkout uses: actions/checkout@755da8c3cf115ac066823e79a1e1788f8940201b # v3.2.0 - name: Set up Docker Buildx
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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 # Install Visual C++ Redistributable for Visual Studio 2015-2022.
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tensorflow/api_template.__init__.py
from tensorflow.python import pywrap_tensorflow as _pywrap_tensorflow # pylint: disable=unused-import from tensorflow.python.tools import module_util as _module_util from tensorflow.python.util.lazy_loader import KerasLazyLoader as _KerasLazyLoader # Make sure code inside the TensorFlow codebase can use tf2.enabled() at import. _os.environ["TF2_BEHAVIOR"] = "1" from tensorflow.python import tf2 as _tf2 _tf2.enable()
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tensorflow/api_template_v1.__init__.py
import sys as _sys # pylint: disable=g-bad-import-order,protected-access,g-import-not-at-top from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import from tensorflow.python.tools import module_util as _module_util from tensorflow.python.platform import tf_logging as _logging from tensorflow.python.util.lazy_loader import LazyLoader as _LazyLoader from tensorflow.python.util.lazy_loader import KerasLazyLoader as _KerasLazyLoader
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