问题现象描述

系统环境：

Hardware Environment(Ascend/GPU/CPU): Ascend
Software Environment:
-- MindSpore version (source or binary): 1.6.0
-- Python version (e.g., Python 3.7.5): 3.7.6
-- OS platform and distribution (e.g., Linux Ubuntu 16.04): Ubuntu 4.15.0-74-generic
-- GCC/Compiler version (if compiled from source):

训练脚本是通过构建Pow的单算子网络，对第一个输入的每个值进行幂运算。脚本如下：

class Net(nn.Cell):
  def __init__(self):
    super(Net, self).__init__()
    self.pow = ops.Pow()
  def construct(self, x,y):
    output = self.pow(x, y)
    return output
net = Net()
x = Tensor(np.array([1.0, 2.0, 4.0]), mindspore.float64) .astype(mindspore.float32)
y = 3.0
output = net(x, y)
print('output', output)

报错信息如下：

Traceback (most recent call last):
File 'demo.py', line 11, in <module>
​    output = net(x, y)
…
TypeError: mindspore/ccsrc/runtime/device/ascend/kernel_select_ascend.cc:788 PrintNotMatchMessage] Can not select a valid kernel info for [Default/Pow-op0] in AI CORE or AI CPU kernel info candidates list:
AI CORE:
(<Int8xDefaultFormat>, <Int8xDefaultFormat>) -> (<Int8xDefaultFormat>)
(<UInt8xDefaultFormat>, <UInt8xDefaultFormat>) -> (<UInt8xDefaultFormat>)
(<Int32xDefaultFormat>, <Int32xDefaultFormat>) -> (<Int32xDefaultFormat>)
(<Float16xDefaultFormat>, <Float16xDefaultFormat>) -> (<Float16xDefaultFormat>)
(<Float32xDefaultFormat>, <Float32xDefaultFormat>) -> (<Float32xDefaultFormat>)
AI CPU:
{}
Please check the given data type or shape:
AI CORE:    : (<Tensor[Float64], (3)>, <Tensor[Float64], (), value=...>) -> (<Tensor[Float64], (3)>)
AI CPU:    : (<Tensor[Float64], (3)>, <Tensor[Float64], (), value=...>) -> (<Tensor[Float64], (3)>)
For more details, please refer to 'Kernel Select Failed' at https://www.mindspore.cn
The function call stack:
In file demo.py(06)/    output = self.pow(x, y)/

原因分析

在TypeError中，Can not select a valid kernel info for [Default/Pow-op0] in AI CORE or AI CPU kernel info candidates list，结合列出的数据类型格式，判断为在提示传入的数据类型不在支持的类型范围内，支持的数据类型为：int8、uint8、int32、float16、float32，再结合*Please check the given data type or shape:AI CORE : (<Tensor[Float64], (3)>*可知，传入的数据类型为float64， 检查代码发现，x = Tensor(np.array([1.0, 2.0, 4.0]), mindspore.float64) .astype(mindspore.float32)代码的输入数据类型确实为float64，此时需要将该类型转化为其他支持类型。

参考文档：Pow算子API接口

解决措施

基于以上原因，修改训练脚本：

执行训练。成功后输出如下：

output [ 1. 8. 64.]