问题描述：
【功能模块】
mindspore 1.6
【操作步骤&问题现象】
1、我在用msp训练神经网络，算子是自定义act_fun
2、神经网络训练第一批图片没有报错，训练第二批图片时报错了，错误是
RuntimeError: _Map_base::a
【截图信息】
算子：
网络：（画出的那一行在第二批图片进入网络训练后出错了）
【日志信息】（可选，上传日志内容或者附件）
RuntimeError Traceback (most recent call last)
~AppDataLocalTemp/ipykernel_2524/1719793408.py in
14 os.mkdir(save_path)
15 n_epoch = 20
---> 16 train(n_epoch,ckpoint,False) # 调用训练函数
17
18 eval()
~AppDataLocalTemp/ipykernel_2524/1719793408.py in train(epoch, ckpoint_cb, sink_mode)
1 # 定义训练函数
2 def train(epoch, ckpoint_cb, sink_mode):
----> 3 model.train(epoch,ds_train,callbacks=[ckpoint_cb, LossMonitor(125)], dataset_sink_mode=sink_mode) # 每过200个step就输出训练损失值
4
5 # 定义验证函数
F:minicondaenvspython39libsite-packagesmindsporetrainmodel.py in train(self, epoch, train_dataset, callbacks, dataset_sink_mode, sink_size)
720 _device_number_check(self._parallel_mode, self._device_number)
721
--> 722 self._train(epoch,
723 train_dataset,
724 callbacks=callbacks,
F:minicondaenvspython39libsite-packagesmindsporetrainmodel.py in _train(self, epoch, train_dataset, callbacks, dataset_sink_mode, sink_size)
496 self._check_reuse_dataset(train_dataset)
497 if not dataset_sink_mode:
--> 498 self._train_process(epoch, train_dataset, list_callback, cb_params)
499 elif context.get_context("device_target") == "CPU":
500 logger.warning("The CPU cannot support dataset sink mode currently."
F:minicondaenvspython39libsite-packagesmindsporetrainmodel.py in _train_process(self, epoch, train_dataset, list_callback, cb_params)
624 cb_params.train_dataset_element = next_element
625 list_callback.step_begin(run_context)
--> 626 outputs = self._train_network(*next_element)
627 cb_params.net_outputs = outputs
628 if self._loss_scale_manager and self._loss_scale_manager.get_drop_overflow_update():
F:minicondaenvspython39libsite-packagesmindsporenncell.py in __call__(self, *inputs, **kwargs)
431 except Exception as err:
432 _pynative_executor.clear_res()
--> 433 raise err
434
435 if _pynative_executor.is_top_cell():
F:minicondaenvspython39libsite-packagesmindsporenncell.py in __call__(self, *inputs, **kwargs)
428 with self.CellGuard():
429 try:
--> 430 output = self.run_construct(cast_inputs, kwargs)
431 except Exception as err:
432 _pynative_executor.clear_res()
F:minicondaenvspython39libsite-packagesmindsporenncell.py in run_construct(self, cast_inputs, kwargs)
350 output = self._hook_construct(*cast_inputs)
351 else:
--> 352 output = self.construct(*cast_inputs, **kwargs)
353 return output
354
F:minicondaenvspython39libsite-packagesmindsporennwrapcell_wrapper.py in construct(self, *inputs)
351
352 def construct(self, *inputs):
--> 353 loss = self.network(*inputs)
354 sens = F.fill(loss.dtype, loss.shape, self.sens)
355 grads = self.grad(self.network, self.weights)(*inputs, sens)
F:minicondaenvspython39libsite-packagesmindsporenncell.py in __call__(self, *inputs, **kwargs)
431 except Exception as err:
432 _pynative_executor.clear_res()
--> 433 raise err
434
435 if _pynative_executor.is_top_cell():
F:minicondaenvspython39libsite-packagesmindsporenncell.py in __call__(self, *inputs, **kwargs)
428 with self.CellGuard():
429 try:
--> 430 output = self.run_construct(cast_inputs, kwargs)
431 except Exception as err:
432 _pynative_executor.clear_res()
F:minicondaenvspython39libsite-packagesmindsporenncell.py in run_construct(self, cast_inputs, kwargs)
350 output = self._hook_construct(*cast_inputs)
351 else:
--> 352 output = self.construct(*cast_inputs, **kwargs)
353 return output
354
F:minicondaenvspython39libsite-packagesmindsporennwrapcell_wrapper.py in construct(self, data, label)
108
109 def construct(self, data, label):
--> 110 out = self._backbone(data)
111 return self._loss_fn(out, label)
112
F:minicondaenvspython39libsite-packagesmindsporenncell.py in __call__(self, *inputs, **kwargs)
431 except Exception as err:
432 _pynative_executor.clear_res()
--> 433 raise err
434
435 if _pynative_executor.is_top_cell():
F:minicondaenvspython39libsite-packagesmindsporenncell.py in __call__(self, *inputs, **kwargs)
428 with self.CellGuard():
429 try:
--> 430 output = self.run_construct(cast_inputs, kwargs)
431 except Exception as err:
432 _pynative_executor.clear_res()
F:minicondaenvspython39libsite-packagesmindsporenncell.py in run_construct(self, cast_inputs, kwargs)
350 output = self._hook_construct(*cast_inputs)
351 else:
--> 352 output = self.construct(*cast_inputs, **kwargs)
353 return output
354
~AppDataLocalTemp/ipykernel_2524/872694673.py in construct(self, x, time_window)
37 x = self.avgpool_op(c1_spike)
38 print("?")
---> 39 c2_mem, c2_spike = mem_update(self.conv2, x, c2_mem, c2_spike, self.lateral2)
40 print("!!")
41
~AppDataLocalTemp/ipykernel_2524/3497521393.py in mem_update(ops, x, mem, spike, lateral)
25 mem += lateral(spike)
26 print(mem)
---> 27 spike = grad_all(act_fun)(mem)
28 return mem, spike[0]
F:minicondaenvspython39libsite-packagesmindsporeopscompositebase.py in after_grad(*args, **kwargs)
392 else:
393 def after_grad(*args, **kwargs):
--> 394 return grad_(fn)(*args, **kwargs)
395
396 self.grad_fn = after_grad
F:minicondaenvspython39libsite-packagesmindsporecommonapi.py in wrapper(*arg, **kwargs)
76 @wraps(fn)
77 def wrapper(*arg, **kwargs):
---> 78 results = fn(*arg, **kwargs)
79
80 def _convert_data(data):
F:minicondaenvspython39libsite-packagesmindsporeopscompositebase.py in after_grad(*args, **kwargs)
379 if _pynative_executor.check_graph(fn, *args, **kwargs):
380 print("Another grad step is running")
--> 381 self._pynative_forward_run(grad_, args, kwargs, fn)
382 _pynative_executor.grad(grad_, fn, weights, *args, **kwargs)
383 out = _pynative_executor(fn, *args, **kwargs)
F:minicondaenvspython39libsite-packagesmindsporeopscompositebase.py in _pynative_forward_run(self, grad, args, kwargs, fn)
354 if not _pynative_executor.check_run(grad, fn, *args, **new_kwargs):
355 fn.set_grad()
--> 356 fn(*args, **new_kwargs)
357 fn.set_grad(False)
358
F:minicondaenvspython39libsite-packagesmindsporenncell.py in __call__(self, *inputs, **kwargs)
438 if isinstance(output, Parameter):
439 output = output.data
--> 440 _pynative_executor.end_graph(self, output, *inputs, **kwargs)
441 return output
442
F:minicondaenvspython39libsite-packagesmindsporecommonapi.py in end_graph(self, obj, output, *args, **kwargs)
380
381 def end_graph(self, obj, output, *args, **kwargs):
--> 382 self._executor.end_graph(obj, output, *args, *(kwargs.values()))
383
384 def check_graph(self, obj, *args, **kwargs):
RuntimeError: _Map_base::at
解答：
这种构造方法需要在PYNATIVE_MODE模式下面用：context.set_context(mode=context.PYNATIVE_MODE)
