ai_copper
| Crates.io | ai_copper |
| lib.rs | ai_copper |
| version | |
| source | src |
| created_at | 2025-04-13 11:58:39.751202+00 |
| updated_at | 2025-04-13 12:17:34.332759+00 |
| description | Binding Rust para C++ usando a libtorch |
| homepage | |
| repository | https://github.com/seu_usuario/ai_copper |
| max_upload_size | |
| id | 1631768 |
| Cargo.toml error: | TOML parse error at line 18, column 1 | 18 | autolib = false | ^^^^^^^ unknown field `autolib`, expected one of `name`, `version`, `edition`, `authors`, `description`, `readme`, `license`, `repository`, `homepage`, `documentation`, `build`, `resolver`, `links`, `default-run`, `default_dash_run`, `rust-version`, `rust_dash_version`, `rust_version`, `license-file`, `license_dash_file`, `license_file`, `licenseFile`, `license_capital_file`, `forced-target`, `forced_dash_target`, `autobins`, `autotests`, `autoexamples`, `autobenches`, `publish`, `metadata`, `keywords`, `categories`, `exclude`, `include` |
| size | 0 |
Moonx02 (Moonx0702)
documentation
README
ai_copper
ai_copper is a Rust library that provides bindings to the C++ libtorch library from PyTorch, allowing the use of tensors and machine learning operations directly in Rust. This library is designed to facilitate the integration between Rust and C++ for projects that utilize libtorch for machine learning implementations.
Features
- Create tensors directly in Rust using
libtorch. - Support for basic tensor manipulation operations.
- Easy integration with PyTorch for running machine learning models in Rust.
Requirements
- Rust: The library is designed to work with the latest version of Rust.
- C++: A C++ compiler must be installed on your system.
- libtorch: The PyTorch C++ library (CPU version) must be installed on your system.
Installation
To add ai_copper to your Rust project:
cargo add ai_copper
Include the following line in your Cargo.toml:
[dependencies]
ai_copper = "0.1"