MindSpore报错 task_fail_info or current_graph_ is nullptr 神经网络人工智能深度学习

1 报错描述1.1 系统环境Hardware Environment(Ascend/GPU/CPU): AscendSoftware 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CTCGreedyDecoder的单算子网络，对输入中给出的 logits 执行贪婪解码（最佳路径）。脚本如下： 01 class Net(nn.Cell):
02 def __init__(self):
03 super(Net, self).__init__()
04 self.ctc_greedyDecoder = ops.CTCGreedyDecoder()
05
06 def construct(self, input_x, sequence_length):
07 return self.ctc_greedyDecoder(input_x, sequence_length)
08 net = Net()
09
10
11 inputs = Tensor(np.array([[[0.6, 0.4, 0.2], [0.8, 0.6, 0.3]],
12 [[0.0, 0.6, 0.0], [0.5, 0.4, 0.5]]]), mindspore.float32)
13 sequence_length = Tensor(np.array([4, 2]), mindspore.int32)
14
15 decoded_indices, decoded_values, decoded_shape, log_probability = net(inputs, sequence_length)
16 print(decoded_indices, decoded_values, decoded_shape, log_probability)
1.2.2 报错这里报错信息如下：[ERROR] DEVICE(172230,fffeae7fc160,python):2022-06-28-07:02:12.636.101 [mindspore/ccsrc/plugin/device/ascend/hal/device/ascend_kernel_runtime.cc:603] TaskFailCallback] Execute TaskFailCallback failed. task_fail_info or current_graph_ is nullptr
Traceback (most recent call last):
File "CTCGreedyDecoder.py", line 26, in

decoded_indices, decoded_values, decoded_shape, log_probability = net(inputs, sequence_length)

File "/root/archiconda3/envs/lilinjie_high/lib/python3.7/site-packages/mindspore/nn/cell.py", line 573, in call

out = self.compile_and_run(*args)

File "/root/archiconda3/envs/lilinjie_high/lib/python3.7/site-packages/mindspore/nn/cell.py", line 979, in compile_and_run

return _cell_graph_executor(self, *new_inputs, phase=self.phase)

File "/root/archiconda3/envs/lilinjie_high/lib/python3.7/site-packages/mindspore/common/api.py", line 1128, in call

return self.run(obj, *args, phase=phase)

File "/root/archiconda3/envs/lilinjie_high/lib/python3.7/site-packages/mindspore/common/api.py", line 1165, in run

return self._exec_pip(obj, *args, phase=phase_real)

File "/root/archiconda3/envs/lilinjie_high/lib/python3.7/site-packages/mindspore/common/api.py", line 94, in wrapper

results = fn(*arg, **kwargs)

File "/root/archiconda3/envs/lilinjie_high/lib/python3.7/site-packages/mindspore/common/api.py", line 1147, in _exec_pip

return self._graph_executor(args, phase)

RuntimeError: Call runtime rtStreamSynchronize failed. Op name: Default/CTCGreedyDecoder-op2
【MindSpore报错 task_fail_info or current_graph_ is nullptr】原因分析我们看报错信息，在Error中，写到Execute TaskFailCallback failed. task_fail_info or current_graph_ is nullptr，虽然从这句报错里不能非常明确的发现问题处在哪个地方，这时候可以提取里面的关键词进行猜想验证，里面出现了一个nullptr，可能是出现了越界导致的。再仔细查看下官网对各参数的描述，

MindSpore报错 task_fail_info or current_graph_ is nullptr

文章图片

结合脚本第13行发现这个条件不被满足，因此报错。2 解决方法基于上面已知的原因，很容易做出如下修改： 01 class Net(nn.Cell):
02 def __init__(self):
03 super(Net, self).__init__()
04 self.ctc_greedyDecoder = ops.CTCGreedyDecoder()
05
06 def construct(self, input_x, sequence_length):
07 return self.ctc_greedyDecoder(input_x, sequence_length)
08 net = Net()
09
10
11 inputs = Tensor(np.array([[[0.6, 0.4, 0.2], [0.8, 0.6, 0.3]],
12 [[0.0, 0.6, 0.0], [0.5, 0.4, 0.5]]]), mindspore.float32)
13 sequence_length = Tensor(np.array([2, 2]), mindspore.int32)
14
15 decoded_indices, decoded_values, decoded_shape, log_probability = net(inputs, sequence_length)
16 print(decoded_indices, decoded_values, decoded_shape, log_probability)
此时执行成功，输出如下：[[0 0]
[0 1]
[1 0]] [0 1 0] [2 2] [[-1.2]
[-1.3]]
3 总结定位报错问题的步骤：1、找到报错的用户代码行：15 decoded_indices, decoded_values, decoded_shape, log_probability = net(inputs, sequence_length); 2、根据日志报错信息中的关键字，缩小分析问题的范围 Execute TaskFailCallback failed. task_fail_info or current_graph_ is nullptr ; 4 参考文档4.1 CTCGreedyDecoder算子API接口