1 Error description
1.1 System Environment
Hardware Environment(Ascend/GPU/CPU): CPU
Software Environment:
– MindSpore version (source or binary): 1.8.0
– Python version (eg, Python 3.7.5): 3.7.6
– OS platform and distribution (eg, Linux Ubuntu 16.04): Ubuntu 4.15.0-74-generic
– GCC/Compiler version (if compiled from source):
1.2 Basic information
1.2.1 Script
The training script is to construct a single-operator network of StridedSlice, and extract slices from the input Tensor according to the step size and index. The script is as follows:
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 Error reporting
The error message here is as follows:
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.
Cause Analysis
Let’s look at the error message. In TypeError, write 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, mainly It means that for the StridedSlice operator, on the CPU, the input and output types of the uint data type are currently not supported. The solution is to switch to run on the ascend/gpu platform.
2 Solutions
For the reasons known above, it is easy to make the following modifications:
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)
At this point, the execution is successful, and the output is as follows:
[[[3]]
[[5]]]
3 Summary
Steps to locate the error report:
1. Find the line of user code that reported the error: out = Net()(input_x, (1, 0, 2), (3, 1, 3), (1, 1, 1));
2. According to the keywords in the log error message, narrow the scope of the analysis problem: input(kNumberTypeUInt8) output(kNumberTypeUInt8) is not supported;
3. It is necessary to focus on the correctness of variable definition and initialization.