/***/.local/lib/python3.11/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float64'> type is zero.

  setattr(self, word, getattr(machar, word).flat[0])

/***/.local/lib/python3.11/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for <class 'numpy.float64'> type is zero.

  return self._float_to_str(self.smallest_subnormal)

/***/.local/lib/python3.11/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.

  setattr(self, word, getattr(machar, word).flat[0])

/***/.local/lib/python3.11/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.

  return self._float_to_str(self.smallest_subnormal)

=============================ms, cann 8.5 debug==============================================

Traceback (most recent call last):

  File "/***/msnpu.py", line 9, in <module>

    context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")

  File "/***/.local/lib/python3.11/site-packages/mindspore/_checkparam.py", line 1397, in wrapper

    return func(*args, **kwargs)

           ^^^^^^^^^^^^^^^^^^^^^

  File "/***/.local/lib/python3.11/site-packages/mindspore/context.py", line 1538, in set_context

    ctx.set_device_target(kwargs['device_target'])

  File "/***/.local/lib/python3.11/site-packages/mindspore/context.py", line 490, in set_device_target

    self.set_param(ms_ctx_param.device_target, target)

  File "/***/.local/lib/python3.11/site-packages/mindspore/context.py", line 185, in set_param

    self._context_handle.set_param(param, value)

RuntimeError: Unsupported device target Ascend. This process only supports one of the ['CPU']. Please check whether the Ascend environment is installed and configured correctly, and check whether current mindspore wheel package was built with "-e Ascend". For details, please refer to "Device load error message".

----------------------------------------------------

- Device load error message:

----------------------------------------------------

Load dynamic library: libmindspore_ascend.so.2 failed. /usr/local/Ascend/cann/lib64/libnnopbase.so: undefined symbol: rtGetSocSpec

Load dynamic library: libmindspore_ops_ascend.so failed. /usr/local/Ascend/cann/lib64/libhccl.so: undefined symbol: HcclRankGraphGetRankSizeByLayer

----------------------------------------------------

- C++ Call Stack: (For framework developers)

----------------------------------------------------

mindspore/core/utils/ms_context.cc:279 SetDeviceTargetFromInner

>>> import mindspore

Segmentation fault (core dumped)

import numpy as np

import mindspore.context as context

import mindspore.nn as nn

from mindspore import Tensor

from mindspore.ops import operations as P

print("=============================ms, cann 8.5 debug==============================================")

context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")



class Net(nn.Cell):

    def __init__(self):

        super(Net, self).__init__()

        self.add = P.Add()

    def construct(self, x_, y_):

        return self.add(x_, y_)



x = np.ones([1, 3, 3, 4]).astype(np.float32)

y = np.ones([1, 3, 3, 4]).astype(np.float32)



if __name__ == '__main__':

    add = Net()

    output = add(Tensor(x), Tensor(y))

    print(x)

    print(y)

    print(output.asnumpy())