/root/miniconda3/envs/bin/python /mnt/d/06_project/trouble-shooter/tests/proposer/master/test_compiler_get_context.py
Traceback (most recent call last):
File "/mnt/d/06_project/trouble-shooter/troubleshooter/proposer/proposal_action.py", line 43, in proposal_wrapper
return func(*args, **kw)
File "/mnt/d/06_project/trouble-shooter/tests/proposer/master/test_compiler_get_context.py", line 93, in test2
out = net(input1, input2)
File "/root/miniconda3/envs/lib/python3.7/site-packages/mindspore/nn/cell.py", line 615, in __call__
out = self.compile_and_run(*args)
File "/root/miniconda3/envs/lib/python3.7/site-packages/mindspore/nn/cell.py", line 934, in compile_and_run
self.compile(*inputs)
File "/root/miniconda3/envs/lib/python3.7/site-packages/mindspore/nn/cell.py", line 908, in compile
jit_config_dict=self._jit_config_dict)
File "/root/miniconda3/envs/lib/python3.7/site-packages/mindspore/common/api.py", line 1363, in compile
result = self._graph_executor.compile(obj, args_list, phase, self._use_vm_mode())
RuntimeError: Unsupported statement 'Try'.
More details please refer to syntax support at https://www.mindspore.cn
----------------------------------------------------
- The Traceback of Net Construct Code:
----------------------------------------------------
# In file /root/miniconda3/envs/lib/python3.7/site-packages/mindspore/context.py:462
try:
----------------------------------------------------
- C++ Call Stack: (For framework developers)
----------------------------------------------------
mindspore/ccsrc/pipeline/jit/parse/parse.cc:774 ParseStatement

"""
This is a python code template
"""
import mindspore.context as context
import mindspore.nn as nn
from mindspore import Tensor
from mindspore.nn import Cell
from mindspore import ops
from mindspore import dtype as mstype
import mindspore

context.set_context(mode=mindspore.GRAPH_MODE, pynative_synchronize=False)

class Net1(nn.Cell):
def __init__(self):
super().__init__()
self.add = ops.Add()
self.sub = ops.Sub()
self.mul = ops.Mul()
self.div = ops.Div()

def func(x, y):
context.get_context("device_target")
return self.div(x, y)

def construct(self, x, y):
a = self.sub(x, 1)
b = self.add(a, y)
c = self.mul(b, self.func(a, b))
return c

def test2():
input1 = Tensor(3, mstype.float32)
input2 = Tensor(2, mstype.float32)
net = Net1()
out = net(input1, input2)
print(out)

if __name__ == '__main__':
test2()