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tensorflow/c/experimental/filesystem/plugins/posix/posix_filesystem_helper.cc
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. // If file exists, truncate its size to 0. int dst_fd = open(dst, O_WRONLY | O_CREAT | O_TRUNC, open_mode);
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Thu Jan 16 05:36:52 GMT 2020 - 2.1K bytes - Viewed (1) -
tensorflow/c/experimental/filesystem/plugins/gcs/gcs_helper.cc
std::remove(name_.c_str()); } const std::string TempFile::getName() const { return name_; } bool TempFile::truncate() { std::fstream::close(); std::fstream::open(name_, std::ios::binary | std::ios::out); return std::fstream::is_open();
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Fri Jun 26 14:56:58 GMT 2020 - 1.3K bytes - Viewed (0) -
ISSUES.md
If you open a GitHub Issue, here is our policy: 1. It must be a bug/performance issue or a feature request or a build issue or a documentation issue (for small doc fixes please send a PR instead). 1. Make sure the Issue Template is filled out. 1. The issue should be related to the repo it is created in. **Here's why we have this policy:** We want to focus on the work that benefits the whole community, e.g., fixing bugs and adding features. Individual support
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CODE_OF_CONDUCT.md
# TensorFlow Code of Conduct In the interest of fostering an open and welcoming environment, we as contributors and maintainers pledge to make participation in our project and our community a harassment-free experience for everyone, regardless of age, body size, disability, ethnicity, gender identity and expression, level of experience, nationality, personal appearance, race, religion, or sexual identity and orientation. ## Our Standards
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README.md
**`Documentation`** | ------------------- | [![Documentation](https://img.shields.io/badge/api-reference-blue.svg)](https://www.tensorflow.org/api_docs/) | [TensorFlow](https://www.tensorflow.org/) is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of [tools](https://www.tensorflow.org/resources/tools), [libraries](https://www.tensorflow.org/resources/libraries-extensions), and
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Oct 05 15:00:10 GMT 2023 - 11.9K bytes - Viewed (0) -
ci/official/utilities/extract_resultstore_links.py
return parsed_args def parse_log(file_path: str, verbose: bool = False) -> ResultDictType: """Finds ResultStore links, and tries to determine their status.""" with open(file_path, 'r', encoding='utf-8', errors='ignore') as f: log_lines = f.read().splitlines() result_store_links: ResultDictType = {} current_url = None for i in range(len(log_lines)): line = log_lines[i]
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.github/workflows/stale-issues.yml
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tensorflow/c/c_api_test.cc
bool found_neg = false; size_t pos = 0; TF_Operation* oper; while ((oper = TF_GraphNextOperation(graph, &pos)) != nullptr) { if (oper == feed) { EXPECT_FALSE(found_placeholder); found_placeholder = true; } else if (oper == three) { EXPECT_FALSE(found_scalar_const); found_scalar_const = true; } else if (oper == add) { EXPECT_FALSE(found_add); found_add = true;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 96.9K bytes - Viewed (3) -
.zenodo.json
{ "description": "TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications.", "license": "Apache-2.0", "title": "TensorFlow", "upload_type": "software", "creators": [ { "name": "TensorFlow Developers" }
Json - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue May 18 19:19:25 GMT 2021 - 741 bytes - Viewed (0) -
tensorflow/c/c_api.cc
const char* TF_OperationName(TF_Operation* oper) { return oper->node.name().c_str(); } const char* TF_OperationOpType(TF_Operation* oper) { return oper->node.type_string().c_str(); } const char* TF_OperationDevice(TF_Operation* oper) { return oper->node.requested_device().c_str(); } int TF_OperationNumOutputs(TF_Operation* oper) { return oper->node.num_outputs(); }
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