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import numpy as np |
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def read_fbin(filename, start_idx=0, chunk_size=None): |
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""" Read *.fbin file that contains float32 vectors |
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Args: |
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:param filename (str): path to *.fbin file |
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:param start_idx (int): start reading vectors from this index |
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:param chunk_size (int): number of vectors to read. |
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If None, read all vectors |
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Returns: |
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Array of float32 vectors (numpy.ndarray) |
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""" |
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with open(filename, "rb") as f: |
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nvecs, dim = np.fromfile(f, count=2, dtype=np.int32) |
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nvecs = (nvecs - start_idx) if chunk_size is None else chunk_size |
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arr = np.fromfile(f, count=nvecs * dim, dtype=np.float32, |
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offset=start_idx * 4 * dim) |
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return arr.reshape(nvecs, dim) |
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