fp4-fp8-for-torch-mps 1.0.0

FP8 and FP4 sub-byte dtype support for PyTorch MPS on Apple Silicon via Metal shaders

Registers FP8 (float8_e4m3fn, float8_e5m2) and FP4 (float4_e2m1fn_x2) support for PyTorch's MPS backend on Apple Silicon. Once installed, import torch auto-loads the extension via the torch.backends entry point, enabling tensor.to(torch.float8_e4m3fn), torch._scaled_mm, and tensor.copy_ to work transparently on MPS through Metal shader kernels dispatched via torch.mps.compile_shader. The FP8 encode is tested byte-for-byte against all 254 representable values and their midpoints to match CPU PyTorch exactly; FP4 decode is verified exhaustively against all 256 packed byte patterns. 80 tests run on macOS MPS hardware in CI.

uv pip install git+https://github.com/AppMana/mps-fp8-for-torch-and-comfyui-python-package.git