• 版本、环境信息

1）PaddlePaddle版本：2.1.2
2）CPU/GPU：CPU
3）系统环境：Windows 10

• 复现信息：paddle 处理如下简单的 python 数值常量与 bool 型 paddle.tensor 相加计算时会报错，这个算子报错就算了，这样的报错信息更是让上手 PaddlePaddle 的萌新雪上加霜：

In[88]:  t = 0
In[89]:  t += paddle.to_tensor([True])
Traceback (most recent call last):
  File "D:\Dev\Anaconda3-2019-10\envs\pytorch15-conda\lib\site-packages\IPython\core\interactiveshell.py", line 3343, in run_code
    exec(code_obj, self.user_global_ns, self.user_ns)
  File "<ipython-input-109-d52ae30fe538>", line 1, in <module>
    t += paddle.to_tensor([True])
  File "D:\Dev\Anaconda3-2019-10\envs\pytorch15-conda\lib\site-packages\paddle\fluid\dygraph\math_op_patch.py", line 206, in __impl__
    return scalar_method(self, other_var)
  File "D:\Dev\Anaconda3-2019-10\envs\pytorch15-conda\lib\site-packages\paddle\fluid\dygraph\math_op_patch.py", line 160, in _scalar_add_
    return _scalar_elementwise_op_(var, 1.0, value)
  File "D:\Dev\Anaconda3-2019-10\envs\pytorch15-conda\lib\site-packages\paddle\fluid\dygraph\math_op_patch.py", line 109, in _scalar_elementwise_op_
    return core.ops.scale(var, 'scale', scale, 'bias', bias)
RuntimeError: (NotFound) Operator scale 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 C:\home\workspace\Paddle_release\paddle\fluid\imperative\prepared_operator.cc:135)
  [operator < scale > error]

然而，numpy 和 pytorch 对同样操作的处理则更加优雅，直接把 bool 类型的 array、tensor 当成 0/1 数值与之相加：

In[87]:  import numpy as np
In[88]:  t = 0
In[89]:  t += np.array([True])
In[90]:  t
Out[90]: array([1])

In[91]:  import torch
In[92]:  t = 0
In[93]:  t += torch.tensor([True])
In[94]:  t
Out[4]: tensor([1])

• 建议描述：希望 paddle 处理 python 数值常量与 bool 型 paddle.tensor 相加计算时能得到跟 numpy 和 pytorch 一样的输出，这样肯定能降低大家的学习门槛，至少上手深度学习框架的没有没用过 numpy 的。