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hub / github.com/Pints-AI/1.5-Pints / load

Method load

tokenizer/convert/convert.py:794–801  ·  view source on GitHub ↗
(offset: int, elm_count: int)

Source from the content-addressed store, hash-verified

792 info = self.zip_file.getinfo(filename)
793
794 def load(offset: int, elm_count: int) -> NDArray:
795 dtype = data_type.dtype
796 fp = self.zip_file.open(info)
797 fp.seek(offset * dtype.itemsize)
798 size = elm_count * dtype.itemsize
799 data = fp.read(size)
800 assert len(data) == size
801 return np.frombuffer(data, dtype)
802 description = f'storage data_type={data_type} path-in-zip={filename} path={self.zip_file.filename}'
803 return LazyStorage(load=load, kind=pid[1], description=description)
804

Callers 1

lazy_load_torch_fileFunction · 0.95

Calls 2

UnquantizedTensorClass · 0.85
loadMethod · 0.45

Tested by

no test coverage detected