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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
test:pip_venv --python_path="/bazel_pip/bin/python3" test:pip_venv --define=no_tensorflow_py_deps=true test:pip --config=pip_venv # Yes, we don't exclude the gpu tests on pip for some reason. test:pip_filters --test_tag_filters=-nopip,-no_pip,-no_oss,-oss_serial,-benchmark-test,-v1only,-no_aarch64,-no_oss_py38,-no_oss_py39,-no_oss_py310
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.github/workflows/stale-issues.yml
operations-per-run: 1000 days-before-issue-stale: 7 days-before-issue-close: 7 stale-issue-label: "stale" # reason for closed the issue default value is not_planned close-issue-reason: completed # List of labels to remove when issues/PRs unstale. labels-to-remove-when-unstale: 'stat:awaiting response' only-labels: "stat:awaiting response"
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tensorflow/c/experimental/filesystem/plugins/gcs/cleanup.h
// LOG(ERROR) << "Bad Data"; // return; // } // PushGoodData(d); // } // } // // You can use Cleanup<F> directly, instead of using MakeCleanup and auto, // but there's rarely a reason to do that. // // You can call 'release()' on a Cleanup object to cancel the cleanup. #ifndef TENSORFLOW_C_EXPERIMENTAL_FILESYSTEM_PLUGINS_GCS_CLEANUP_H_ #define TENSORFLOW_C_EXPERIMENTAL_FILESYSTEM_PLUGINS_GCS_CLEANUP_H_
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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
test:pip_venv --python_path="/bazel_pip/bin/python3" test:pip_venv --define=no_tensorflow_py_deps=true test:pip --config=pip_venv # Yes, we don't exclude the gpu tests on pip for some reason. test:pip_filters --test_tag_filters=-nopip,-no_pip,-no_oss,-oss_serial,-benchmark-test,-v1only,-no_aarch64,-no_oss_py38,-no_oss_py39,-no_oss_py310
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tensorflow/c/env.h
// // Otherwise, while traversing the tree, undeleted_file_count and // undeleted_dir_count are updated if an entry of the corresponding type could // not be deleted. The returned error status represents the reason that any one // of these entries could not be deleted. // // Typical status codes: // * TF_OK - dirname exists and we were able to delete everything underneath // * TF_NOT_FOUND - dirname doesn't exist
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tensorflow/c/experimental/filesystem/plugins/windows/windows_filesystem.cc
// SECTION 3. Implementation for `TF_ReadOnlyMemoryRegion` // ---------------------------------------------------------------------------- namespace tf_read_only_memory_region { // TODO(b/139060984): Implement later } // namespace tf_read_only_memory_region // SECTION 4. Implementation for `TF_Filesystem`, the actual filesystem // ----------------------------------------------------------------------------
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CODE_OF_CONDUCT.md
If the behavior is threatening or harassing, or for other reasons requires immediate escalation, please see below.
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tensorflow/c/experimental/filesystem/modular_filesystem.h
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SECURITY.md
TensorFlow server (`tf.train.Server`). The TensorFlow server is intended for internal communication only. It is not built for use in untrusted environments or networks. For performance reasons, the default TensorFlow server does not include any authorization protocol and sends messages unencrypted. It accepts connections from anywhere, and executes the graphs it is sent without performing any checks.
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tensorflow/c/experimental/filesystem/plugins/gcs/gcs_filesystem.h
void Close(const TF_WritableFile* file, TF_Status* status); } // namespace tf_writable_file namespace tf_read_only_memory_region { void Cleanup(TF_ReadOnlyMemoryRegion* region); const void* Data(const TF_ReadOnlyMemoryRegion* region); uint64_t Length(const TF_ReadOnlyMemoryRegion* region); } // namespace tf_read_only_memory_region namespace tf_gcs_filesystem { typedef struct GcsFileStat { TF_FileStatistics base; int64_t generation_number;
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