test_torch.py 文件源码

def test_masked_select(self):
        num_src = 10
        src = torch.randn(num_src)
        mask = torch.rand(num_src).clamp(0, 1).mul(2).floor().byte()
        dst = src.masked_select(mask)
        dst2 = []
        for i in range(num_src):
            if mask[i]:
                dst2 += [src[i]]
        self.assertEqual(dst, torch.Tensor(dst2), 0)