#!/usr/bin/env python # -*- coding: utf-8 -*- import argparse template = """
install
\
python -m pip install detectron2{d2_version} -f \\
  https://dl.fbaipublicfiles.com/detectron2/wheels/{cuda}/torch{torch}/index.html
""" CUDA_SUFFIX = {"10.2": "cu102", "10.1": "cu101", "10.0": "cu100", "9.2": "cu92", "cpu": "cpu"} def gen_header(torch_versions): return '' + "".join( [ ''.format(t) for t in torch_versions ] ) if __name__ == "__main__": parser = argparse.ArgumentParser() parser.add_argument("--d2-version", help="detectron2 version number, default to empty") args = parser.parse_args() d2_version = f"=={args.d2_version}" if args.d2_version else "" all_versions = [("1.4", k) for k in ["10.1", "10.0", "9.2", "cpu"]] + [ ("1.5", k) for k in ["10.2", "10.1", "9.2", "cpu"] ] torch_versions = sorted({k[0] for k in all_versions}, key=float, reverse=True) cuda_versions = sorted( {k[1] for k in all_versions}, key=lambda x: float(x) if x != "cpu" else 0, reverse=True ) table = gen_header(torch_versions) for cu in cuda_versions: table += f""" """ cu_suffix = CUDA_SUFFIX[cu] for torch in torch_versions: if (torch, cu) in all_versions: cell = template.format(d2_version=d2_version, cuda=cu_suffix, torch=torch) else: cell = "" table += f""" """ table += "" table += "
CUDA torch {}
{cu}{cell}
" print(table)