To Reproduce

import torch

y1 = torch.Tensor([1, 2, 3, -1])
y2 = torch.Tensor([2, 1, 2, 3])
print((y1> 0) / y2)

Result: tensor([0.5000, 1.0000, 0.5000, 0.0000])

import paddle
import numpy as np
y1 = paddle.to_tensor(np.array([1, 2, 3, -1]))
y2 = paddle.to_tensor(np.array([2, 1, 2, 3]))
print((y1 > 0) / y2)

Error: (NotFound) Operator elementwise_div does not have kernel for data_type[bool]:data_layout[ANY_LAYOUT]:place[CPUPlace]:library_type[PLAIN].
[Hint: Expected kernel_iter != kernels.end(), but received kernel_iter == kernels.end().] (at /paddle/paddle/fluid/imperative/prepared_operator.cc:159)
[operator < elementwise_div > error]

希望能适应Bool型 Div的计算
Describe the feature and the current behavior/state.
Any Other info.