test_torch.py 文件源码

def _fill_indices(self, idx, dim, dim_size, elems_per_row, m, n, o):
        for i in range(1 if dim == 0 else m):
            for j in range(1 if dim == 1 else n):
                for k in range(1 if dim == 2 else o):
                    ii = [i, j, k]
                    ii[dim] = slice(0, idx.size(dim)+1)
                    idx[tuple(ii)] = torch.randperm(dim_size)[0:elems_per_row]