Crate ghostflow_core 

GhostFlow Core - High-performance tensor operations

This crate provides the foundational tensor type and operations for the GhostFlow ML framework.

Phase 4 Optimizations (Beat JAX!)

• Operation fusion engine
• JIT compilation
• Memory layout optimization
• Custom optimized kernels

Re-exports

pub use dtype::DType;

pub use shape::Shape;

pub use shape::Strides;

pub use storage::Storage;

pub use tensor::Tensor;

pub use device::Device;

pub use device::Cpu;

pub use error::GhostError;

pub use error::Result;

pub use serialize::StateDict;

pub use serialize::save_state_dict;

pub use serialize::load_state_dict;

pub use serialize::Serializable;

pub use fusion::FusionEngine;

pub use fusion::ComputeGraph;

pub use fusion::FusionPattern;

pub use jit::JitCompiler;

pub use jit::CompiledKernel;

pub use layout::LayoutOptimizer;

pub use layout::MemoryLayout;

pub use layout::DeviceInfo;

Modules

device

Device abstraction for CPU/GPU execution

dtype

Data types supported by GhostFlow tensors

error

Error types for GhostFlow

fusion

Operation Fusion Engine

jit

JIT Compiler for GPU Kernels

layout

Memory Layout Optimizer

ops

Tensor operations

prelude

Prelude for convenient imports

serialize

Model serialization and deserialization

shape

Shape and stride handling for tensors

storage

Storage backend for tensor data

tensor

Core Tensor type - the foundation of GhostFlow

tensor_ops

Tensor operations trait extensions