Crate torsh_python 

Python bindings for ToRSh - PyTorch-compatible deep learning in Rust

This crate provides Python bindings for the ToRSh deep learning framework, enabling PyTorch-compatible APIs to be used from Python.

Modular Structure

The crate is organized into focused modules:

• tensor - Tensor operations and creation functions
• nn - Neural network layers and containers
• optim - Optimization algorithms
• device - Device management and utilities
• dtype - Data type definitions and conversions
• error - Error handling and conversions
• utils - Common utilities and helpers

Re-exports

pub use device::PyDevice;

pub use dtype::PyDType;

pub use error::TorshPyError;

Modules

device

Device handling for Python bindings

dtype

Data type handling for Python bindings

error

Error handling for PyTorch Python bindings

utils

Utility functions and helpers for the torsh-python crate

Macros

py_result

Macro for easy error conversion