Transformers from scratch
Project description
Rawformer
This library implements transformer architectures from pure PyTorch. It's not production ready, more so for my personal use and understanding.
Supported architectures:
- ViT
Supported positional encodings:
- Learned
- RoPE (1D and 2D)
This library uses runtime checks to validate itself and throw better error messages early. NOTE: Beartype is incompatible with torch.compile.
- Turn off runtime type checking with env var:
BEARTYPE=0 - Turn off python interpreter's assert statements with env var:
PYTHONOPTIMIZE=1
Developer install
uv sync --extra cpu
uv sync --extra cuda
pre-commit install
pre-commit run --all-files
uv pip install -e .
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