Crate Structure

The project is organized as a Cargo workspace with the following members:

• shrew: The top-level crate that re-exports functionality and provides the main entry point (CLI via shrew-cli).
• shrew-core: The runtime core. Handles tensor storage, device management, and graph execution APIs.
• shrew-ir: Contains the parser, AST definitions, and the Intermediate Representation (IR) logic.
• shrew-optim: Optimization passes for the IR (graph rewriting, fusion).
• shrew-nn: Implementation of neural network layers and common operators.
• shrew-data: Data loading and preprocessing utilities.
• shrew-cpu: CPU backend implementation (using Rayon and SIMD where available).
• shrew-cuda: CUDA backend implementation (interfaces with cuBLAS, cuDNN).
• shrew-cli: Command-line interface tool.
• shrew-python: Python bindings (PyO3) for using Shrew from Python.