dataset.py 文件源码

def iterbatches(arrays, num_batches=None, batch_size=None, shuffle=True, include_final_partial_batch=True):
    assert (num_batches is None) != (batch_size is None), 'Provide num_batches or batch_size, but not both'
    arrays = tuple(map(np.asarray, arrays))
    n = arrays[0].shape[0]
    assert all(a.shape[0] == n for a in arrays[1:])
    inds = np.arange(n)
    if shuffle: np.random.shuffle(inds)
    sections = np.arange(0, n, batch_size)[1:] if num_batches is None else num_batches
    for batch_inds in np.array_split(inds, sections):
        if include_final_partial_batch or len(batch_inds) == batch_size:
            yield tuple(a[batch_inds] for a in arrays)