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backend-python/convert_model.py
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backend-python/convert_model.py
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import argparse
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from rwkv.model import RWKV
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# python convert_model.py --in '/fsx/BlinkDL/HF-MODEL/rwkv-4-pile-14b/RWKV-4-Pile-14B-20230313-ctx8192-test1050' --out 'fp16_RWKV-4-Pile-14B-20230313-ctx8192-test1050' --strategy 'cuda fp16'
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# python convert_model.py --in '/fsx/BlinkDL/HF-MODEL/rwkv-4-pile-7b/RWKV-4-Pile-7B-20230109-ctx4096' --out 'fp16_RWKV-4-Pile-7B-20230109-ctx4096' --strategy 'cuda fp16'
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# python convert_model.py --in '/fsx/BlinkDL/HF-MODEL/rwkv-4-pile-3b/RWKV-4-Pile-3B-20221110-ctx4096' --out 'fp16i8_and_fp16_RWKV-4-Pile-3B-20221110-ctx4096' --strategy 'cuda fp16i8 *10 -> cuda fp16'
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def get_args():
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p = argparse.ArgumentParser(
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prog="convert_model",
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description="Convert RWKV model for faster loading and saves cpu RAM.",
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)
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p.add_argument(
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"--in", metavar="INPUT", help="Filename for input model.", required=True
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)
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p.add_argument(
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"--out", metavar="OUTPUT", help="Filename for output model.", required=True
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)
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p.add_argument(
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"--strategy",
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help="Please quote the strategy as it contains spaces and special characters. See https://pypi.org/project/rwkv/ for strategy format definition.",
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required=True,
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)
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p.add_argument(
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"--quiet", action="store_true", help="Suppress normal output, only show errors."
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)
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return p.parse_args()
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args = get_args()
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if not args.quiet:
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print(f"** {args}")
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RWKV(
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getattr(args, "in"),
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args.strategy,
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verbose=not args.quiet,
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convert_and_save_and_exit=args.out,
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)
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@@ -3,7 +3,7 @@ import sysconfig
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def set_torch():
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torch_path = os.path.join(sysconfig.get_paths()["purelib"], "torch\\lib")
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torch_path = os.path.join(sysconfig.get_paths()["purelib"], f"torch{os.sep}lib")
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paths = os.environ.get("PATH", "")
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if os.path.exists(torch_path):
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print(f"torch found: {torch_path}")
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