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Ascend310 不支持
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#I90XTJ
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guchao_1990
创建于
2024-02-04 11:33
README.MD文件中的代码运行提示:RuntimeError: Unsupported soc version: Ascend310 ``` [root@localhost guchao]# python Python 3.9.9 (main, May 18 2023, 18:12:40) [GCC 10.3.1] on linux Type "help", "copyright", "credits" or "license" for more information. >>> import torch >>> import torch_npu /usr/local/lib64/python3.9/site-packages/torch_npu/dynamo/__init__.py:18: UserWarning: Register eager implementation for the 'npu' backend of dynamo, as torch_npu was not compiled with torchair. warnings.warn( >>> x = torch.randn(2, 2).npu() Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/usr/local/lib64/python3.9/site-packages/torch/utils/backend_registration.py", line 153, in wrap_tensor_to device_idx = _normalization_device(custom_backend_name, device) File "/usr/local/lib64/python3.9/site-packages/torch/utils/backend_registration.py", line 109, in _normalization_device return _get_current_device_index() File "/usr/local/lib64/python3.9/site-packages/torch/utils/backend_registration.py", line 103, in _get_current_device_index return getattr(getattr(torch, custom_backend_name), _get_device_index)() File "/usr/local/lib64/python3.9/site-packages/torch_npu/npu/utils.py", line 51, in current_device torch_npu.npu._lazy_init() File "/usr/local/lib64/python3.9/site-packages/torch_npu/npu/__init__.py", line 203, in _lazy_init torch_npu._C._npu_init() RuntimeError: Unsupported soc version: Ascend310 >>> y = torch.randn(2, 2).npu() Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/usr/local/lib64/python3.9/site-packages/torch/utils/backend_registration.py", line 153, in wrap_tensor_to device_idx = _normalization_device(custom_backend_name, device) File "/usr/local/lib64/python3.9/site-packages/torch/utils/backend_registration.py", line 109, in _normalization_device return _get_current_device_index() File "/usr/local/lib64/python3.9/site-packages/torch/utils/backend_registration.py", line 103, in _get_current_device_index return getattr(getattr(torch, custom_backend_name), _get_device_index)() File "/usr/local/lib64/python3.9/site-packages/torch_npu/npu/utils.py", line 51, in current_device torch_npu.npu._lazy_init() File "/usr/local/lib64/python3.9/site-packages/torch_npu/npu/__init__.py", line 203, in _lazy_init torch_npu._C._npu_init() RuntimeError: Initialize:torch_npu/csrc/core/npu/sys_ctrl/npu_sys_ctrl.cpp:120 NPU error, error code is 100002 [Error]: Repeated initialization or repeated loading. Check whether the corresponding interface is repeatedly invoked for initialization or loading. ``` 环境: Python 3.9.9 torch 2.1.0 torch-npu 2.1.0 CANN 8.0.RC1.alpha001
README.MD文件中的代码运行提示:RuntimeError: Unsupported soc version: Ascend310 ``` [root@localhost guchao]# python Python 3.9.9 (main, May 18 2023, 18:12:40) [GCC 10.3.1] on linux Type "help", "copyright", "credits" or "license" for more information. >>> import torch >>> import torch_npu /usr/local/lib64/python3.9/site-packages/torch_npu/dynamo/__init__.py:18: UserWarning: Register eager implementation for the 'npu' backend of dynamo, as torch_npu was not compiled with torchair. warnings.warn( >>> x = torch.randn(2, 2).npu() Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/usr/local/lib64/python3.9/site-packages/torch/utils/backend_registration.py", line 153, in wrap_tensor_to device_idx = _normalization_device(custom_backend_name, device) File "/usr/local/lib64/python3.9/site-packages/torch/utils/backend_registration.py", line 109, in _normalization_device return _get_current_device_index() File "/usr/local/lib64/python3.9/site-packages/torch/utils/backend_registration.py", line 103, in _get_current_device_index return getattr(getattr(torch, custom_backend_name), _get_device_index)() File "/usr/local/lib64/python3.9/site-packages/torch_npu/npu/utils.py", line 51, in current_device torch_npu.npu._lazy_init() File "/usr/local/lib64/python3.9/site-packages/torch_npu/npu/__init__.py", line 203, in _lazy_init torch_npu._C._npu_init() RuntimeError: Unsupported soc version: Ascend310 >>> y = torch.randn(2, 2).npu() Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/usr/local/lib64/python3.9/site-packages/torch/utils/backend_registration.py", line 153, in wrap_tensor_to device_idx = _normalization_device(custom_backend_name, device) File "/usr/local/lib64/python3.9/site-packages/torch/utils/backend_registration.py", line 109, in _normalization_device return _get_current_device_index() File "/usr/local/lib64/python3.9/site-packages/torch/utils/backend_registration.py", line 103, in _get_current_device_index return getattr(getattr(torch, custom_backend_name), _get_device_index)() File "/usr/local/lib64/python3.9/site-packages/torch_npu/npu/utils.py", line 51, in current_device torch_npu.npu._lazy_init() File "/usr/local/lib64/python3.9/site-packages/torch_npu/npu/__init__.py", line 203, in _lazy_init torch_npu._C._npu_init() RuntimeError: Initialize:torch_npu/csrc/core/npu/sys_ctrl/npu_sys_ctrl.cpp:120 NPU error, error code is 100002 [Error]: Repeated initialization or repeated loading. Check whether the corresponding interface is repeatedly invoked for initialization or loading. ``` 环境: Python 3.9.9 torch 2.1.0 torch-npu 2.1.0 CANN 8.0.RC1.alpha001
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