1 报错描述

1.1 系统环境

Hardware Environment(Ascend/GPU/CPU): CPU
Software Environment:
– MindSpore version (source or binary): 1.8.0
– 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):

1.2 基本信息

1.2.1 脚本

训练脚本是通过构建StridedSlice的单算子网络，对输入Tensor根据步长和索引进行切片提取。脚本如下：

 01 class Net(nn.Cell):
 02     def __init__(self,):
 03         super(Net, self).__init__()
 04         self.strided_slice = ops.StridedSlice()
 05 
 06     def construct(self, x, begin, end, strides):
 07         out = self.strided_slice(x, begin, end, strides)
 08         return out
 09 input_x = Tensor([[[1, 1, 1], [2, 2, 2]], [[3, 3, 3], [4, 4, 4]],
 10                   [[5, 5, 5], [6, 6, 6]]], mindspore.uint8)
 11 out = Net()(input_x,  (1, 0, 2), (3, 1, 3), (1, 1, 1))
 12 print(out)

1.2.2 报错

这里报错信息如下：

Traceback (most recent call last):
  File "160945-strided_slice.py", line 19, in <module>
    out = Net()(input_x,  (1, 0, 2), (3, 1, 3), (1, 1, 1))
  File "/root/miniconda3/envs/high_llj/lib/python3.7/site-packages/mindspore/nn/cell.py", line 574, in __call__
    out = self.compile_and_run(*args)
  File "/root/miniconda3/envs/high_llj/lib/python3.7/site-packages/mindspore/nn/cell.py", line 975, in compile_and_run
    self.compile(*inputs)
  File "/root/miniconda3/envs/high_llj/lib/python3.7/site-packages/mindspore/nn/cell.py", line 948, in compile
    jit_config_dict=self._jit_config_dict)
  File "/root/miniconda3/envs/high_llj/lib/python3.7/site-packages/mindspore/common/api.py", line 1092, in compile
    result = self._graph_executor.compile(obj, args_list, phase, self._use_vm_mode())
TypeError: Operator[StridedSlice]  input(UInt8) output(UInt8) is not supported. This error means the current input type is not supported, please refer to the MindSpore doc for supported types.

原因分析

我们看报错信息，在TypeError中，写到Operator[StridedSlice]  input(UInt8) output(UInt8) is not supported.. This error means the current input type is not supported, please refer to the MindSpore doc for supported types，主要意思是在对于StridedSlice算子，在cpu上， uint数据类型的输入和输出类型目前是不被支持的。解决方法是切换到ascend/gpu平台上运行。

2 解决方法

基于上面已知的原因，很容易做出如下修改：

context.set_context(device_target='Ascend')
class Net(nn.Cell):
    def __init__(self,):
        super(Net, self).__init__()
        self.strided_slice = ops.StridedSlice()

    def construct(self, x, begin, end, strides):
        out = self.strided_slice(x, begin, end, strides)
        return out
input_x = Tensor([[[1, 1, 1], [2, 2, 2]], [[3, 3, 3], [4, 4, 4]],
                  [[5, 5, 5], [6, 6, 6]]], mindspore.uint8)
out = Net()(input_x,  (1, 0, 2), (3, 1, 3), (1, 1, 1))
print(out)

此时执行成功，输出如下：

[[[3]]

 [[5]]]

3 总结

定位报错问题的步骤：

1、找到报错的用户代码行：out = Net()(input_x,  (1, 0, 2), (3, 1, 3), (1, 1, 1));

2、 根据日志报错信息中的关键字，缩小分析问题的范围：input(kNumberTypeUInt8) output(kNumberTypeUInt8) is not supported;

3、需要重点关注变量定义、初始化的正确性。

4 参考文档

4.1 StridedSlice算子API接口

标签：__,Ascend,self,数据类型,报错,StridedSlice,input,Net,out
来源： https://www.cnblogs.com/skytier/p/16487819.html