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ci/official/wheel_test/README.md
### Prerequisites for Local Testing To run tests locally, follow these steps: 1. Navigate to the relevant directory: ``` cd ci/official/wheel_test ``` 2. Run a script for creating requirements file: ``` bash update_requirements.sh <path_to_tensorflow_wheel> <python_version> e.g.: bash update_requirements.sh /tmp/tensorflow-2.14.0-cp311-cp311-linux_x86_64.whl 3_11 ```
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tensorflow/c/experimental/filesystem/plugins/posix/posix_filesystem_helper.cc
namespace tf_posix_filesystem { int TransferFileContents(const char* src, const char* dst, mode_t mode, off_t size) { int src_fd = open(src, O_RDONLY); if (src_fd < 0) return -1; // When creating file, use the same permissions as original mode_t open_mode = mode & (S_IRWXU | S_IRWXG | S_IRWXO); // O_WRONLY | O_CREAT | O_TRUNC: // Open file for write and if file does not exist, create the file.
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ci/official/README.md
- x86 and arm64 - CPU-only, or with NVIDIA CUDA support (Linux only), or with TPUs ## How to Test Your Changes to TensorFlow You may check how your changes will affect TensorFlow by: 1. Creating a PR and observing the presubmit test results 2. Running the CI scripts locally, as explained below 3. **Google employees only**: Google employees can use an internal-only tool
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CODE_OF_CONDUCT.md
size, disability, ethnicity, gender identity and expression, level of experience, nationality, personal appearance, race, religion, or sexual identity and orientation. ## Our Standards Examples of behavior that contributes to creating a positive environment include: * Using welcoming and inclusive language. * Being respectful of differing viewpoints and experiences. * Gracefully accepting constructive criticism.
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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 // `mode`. The later is only used if `dst` needs to be created.
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tensorflow/c/experimental/filesystem/plugins/posix/posix_filesystem.h
// that provides the filesystem functionality. However, the POSIX filesystem // needs to be statically registered in some tests and utilities for building // the API files at the time of creating the pip package. Hence, we need to // expose this function so that this filesystem can be statically registered // when needed. void TF_InitPlugin(TF_FilesystemPluginInfo* info);
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.github/workflows/trusted_partners.js
*/ const get_email_domain = async ({github, username}) => { const user = await github.rest.users.getByUsername({ username }); if (user.status >= 400) { console.log(user); throw `Error Getting user data for ${username}`; } const email = user.data.email; let domain = ""; if (email && email.lastIndexOf("@") != -1) domain = email.substring(email.lastIndexOf("@") +1); console.log(domain);
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tensorflow/c/env.h
// temporary storage. You can iterate through the list with TF_StringStreamNext. // The caller is responsible for freeing the list (see TF_StringStreamDone). TF_CAPI_EXPORT extern TF_StringStream* TF_GetLocalTempDirectories(void); // Creates a temporary file name with an extension. // The caller is responsible for freeing the returned pointer. TF_CAPI_EXPORT extern char* TF_GetTempFileName(const char* extension);
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tensorflow/c/eager/abstract_context.h
#include <memory> #include "tensorflow/c/eager/abstract_function.h" #include "tensorflow/c/eager/abstract_operation.h" namespace tensorflow { // Abstract interface to a context. // // This serves as a factory for creating `AbstractOperation`s and for // registering traced functions. // Operations creation within a context can only be executed in that context // (for now at least).
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tensorflow/c/eager/parallel_device/parallel_device_testlib.h
// restricted stand-in for tf.Variable in Python. class Variable { public: // Construct a Variable from a resource-dtype TFE_TensorHandle and an // indication of the dtype of the variable's value. // // Note that creating this resource-dtype handle can fail, so `Create` is a // separate static method which returns a status. Variable(TFE_TensorHandle* handle, TF_DataType type) : handle_(handle), type_(type) {}
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