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ci/official/wheel_test/README.md
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. The `_api/v2/api_packages.txt` file is generated during the TensorFlow API v2 init files creation process and is subsequently stored in the wheel file after
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ci/official/utilities/code_check_changed_files.bats
if [[ "$(git rev-parse --abbrev-ref HEAD)" == "pull_branch" ]]; then # TF's CI runs 'git fetch origin "pull/PR#/merge:pull_branch"' # To get the as-merged branch during the CI tests git diff --diff-filter ACMRT --name-only pull_branch^ pull_branch > $BATS_FILE_TMPDIR/changed_files else # If the branch is not present, then diff against origin/master
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tensorflow/c/experimental/filesystem/plugins/posix/posix_filesystem_helper.cc
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
"@local_config_cuda//cuda:cudart + "\ "@local_config_cuda//cuda:cudart + "\ "@local_config_cuda//cuda:cuda_driver + "\ "@local_config_cuda//cuda:cudnn + "\ "@local_config_cuda//cuda:curand + "\ "@local_config_cuda//cuda:cusolver + "\ "@local_config_tensorrt//:tensorrt)" --keep_going > $BATS_TEST_TMPDIR/out cat <<EOF
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.github/ISSUE_TEMPLATE/tflite-converter-issue.md
--- name: TensorFlow Lite Converter Issue about: Use this template for reporting issues during model conversion to TFLite labels: 'TFLiteConverter' --- ### 1. System information - OS Platform and Distribution (e.g., Linux Ubuntu 16.04): - TensorFlow installation (pip package or built from source): - TensorFlow library (version, if pip package or github SHA, if built from source): ### 2. Code
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tensorflow/c/c_api.cc
// TF_TensorToTensorV1 decodes a string serialization to DT_RESOURCE. // In the TFv1 convention, TF_Tensor can hold a string serialization of // DT_RESOURCE. The string serialization is converted back to a // ResourceHandle during Session run where the TF_Tensor is converted to a // Tensor. // TFv2 does not depend on this conversion. There is no matching // TF_TensorFromTensorV1 because the conversion to string is performed by the
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tensorflow/c/c_test_util.cc
} // All the *Helper methods are used as a workaround for the restrictions that // one cannot call ASSERT_* methods in non-void-returning functions (when // exceptions are disabled during compilation) void PlaceholderHelper(TF_Graph* graph, TF_Status* s, const char* name, TF_DataType dtype, const std::vector<int64_t>& dims, TF_Operation** op) {
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tensorflow/c/eager/c_api_experimental.h
// EagerService to maintain consistency between client and worker. The // context_id is initialized with a dummy value and is later set when the worker // is initialized (either locally or remotely). The context_id can change during // the process lifetime although this should cause the worker to be // reinitialized (e.g. cleared caches) as well. TF_CAPI_EXPORT extern uint64_t TFE_GetContextId(TFE_Context* ctx);
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tensorflow/c/experimental/filesystem/plugins/posix/posix_filesystem_helper.h
#ifndef TENSORFLOW_C_EXPERIMENTAL_FILESYSTEM_PLUGINS_POSIX_POSIX_FILESYSTEM_HELPER_H_ #define TENSORFLOW_C_EXPERIMENTAL_FILESYSTEM_PLUGINS_POSIX_POSIX_FILESYSTEM_HELPER_H_ #include <dirent.h> #include <sys/stat.h> namespace tf_posix_filesystem { // Copies up to `size` of `src` to `dst`, creating destination if needed. // // Callers should pass size of `src` in `size` and the permissions of `src` in
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SECURITY.md
Therefore, if you run a `tf.train.Server` in your network, anybody with access to the network can execute arbitrary code with the privileges of the user running the `tf.train.Server`. ## Untrusted inputs during training and prediction TensorFlow supports a wide range of input data formats. For example it can process images, audio, videos, and text. There are several modules specialized
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