torch.set_printoptions(precision=8)
a = torch.Tensor([-0.543, -0.256, 0.678, 1.456])

torch.round(a, decimals=0)
>>> tensor([-1., -0.,  1.,  1.])

torch.round(a, decimals=1)
>>> tensor([-0.50000000, -0.30000001,  0.69999999,  1.50000000])

torch.round(a, decimals=2)
>>> tensor([-0.54000002, -0.25999999,  0.68000001,  1.46000004])

torch.round(a, decimals=3)
>>> tensor([-0.54299998, -0.25600001,  0.67799997,  1.45599997])

torch.round(a, decimals=-1)
>>> tensor([-0., -0., 0., 0.])

a = paddle.to_tensor([-0.543, -0.256, 0.678, 1.456])
>>> paddle.round(a, decimals=0)
Tensor(shape=[4], dtype=float32, place=Place(gpu:0), stop_gradient=True,
       [-1., -0.,  1.,  1.])

>>> paddle.round(a, decimals=1)
Tensor(shape=[4], dtype=float32, place=Place(gpu:0), stop_gradient=True,
       [-0.50000000, -0.30000001,  0.69999999,  1.50000000])

>>> paddle.round(a, decimals=2)
Tensor(shape=[4], dtype=float32, place=Place(gpu:0), stop_gradient=True,
       [-0.54000002, -0.25999999,  0.68000001,  1.46000004])

>>> paddle.round(a, decimals=3)
Tensor(shape=[4], dtype=float32, place=Place(gpu:0), stop_gradient=True,
       [-0.54299998, -0.25600001,  0.67799997,  1.45599997])

>>> paddle.round(a, decimals=-1)
Tensor(shape=[4], dtype=float32, place=Place(gpu:0), stop_gradient=True,
       [-0., -0., 0. , 0. ])