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pytorch训练代码自动迁移报错
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#I7NGMF
Bug-Report
hellodrx
创建于
2023-07-24 15:10
一、问题现象(附报错日志上下文): 我有一段自己写的nlp的基线模型训练代码,拿到华为服务器上用cpu跑是没问题的,然后放到npu上跑就出现> RuntimeError: Initialize:/usr1/workspace/FPTA_Daily_open_pytorchv1.11.0-5.0.rc1/CODE/torch_npu/csrc/core/npu/sys_ctrl/npu_sys_ctrl.cpp:177 NPU error, error code is 4294967295 E40020: Failed to import Python module [ModuleNotFoundError: No module named 'decorator'.]. 我采用自动前移的方法 在头文件里使用import torch_npu; import import transfer_to_npu 二、软件版本: -- CANN 版本 (e.g., CANN 3.0.x,5.x.x): CANN 6.3.RC1 --Tensorflow/Pytorch/MindSpore 版本: Pytorch 1.11.0 --Python 版本 (e.g., Python 3.7.11): Python 3.7.11 -- MindStudio版本 (e.g., MindStudio 2.0.0 (beta3)): MindX 5.0.RC1 --操作系统版本 (e.g., Ubuntu 20.04): Ubuntu 20.04 三、测试步骤: 在ubuntu的terminal命令行里输入 python train_expert_net_via_embedding.py 四、日志信息: 报错日志: (huawei) HwHiAiUser@administrator:~/projects/AI_matching/tools$ python train_expert_net_via_embedding.py [W OperatorEntry.cpp:133] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::is_pinned(Tensor self, Device? device=None) -> (bool) registered at aten/src/ATen/RegisterSchema.cpp:6 dispatch key: BackendSelect previous kernel: registered at aten/src/ATen/RegisterBackendSelect.cpp:606 new kernel: registered at /usr1/workspace/FPTA_Daily_open_pytorchv1.11.0-5.0.rc1/CODE/torch_npu/csrc/aten/PinMemory.cpp:42 (function registerKernel) [W OperatorEntry.cpp:133] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_pin_memory(Tensor self, Device? device=None) -> (Tensor) registered at aten/src/ATen/RegisterSchema.cpp:6 dispatch key: BackendSelect previous kernel: registered at aten/src/ATen/RegisterBackendSelect.cpp:606 new kernel: registered at /usr1/workspace/FPTA_Daily_open_pytorchv1.11.0-5.0.rc1/CODE/torch_npu/csrc/aten/PinMemory.cpp:42 (function registerKernel) [W OperatorEntry.cpp:133] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::argmax(Tensor self, int? dim=None, bool keepdim=False) -> (Tensor) registered at aten/src/ATen/RegisterSchema.cpp:6 dispatch key: XLA previous kernel: registered at aten/src/ATen/RegisterCPU.cpp:21063 new kernel: registered at /usr1/workspace/FPTA_Daily_open_pytorchv1.11.0-5.0.rc1/CODE/torch_npu/csrc/aten/RegisterNPU.cpp:15958 (function registerKernel) [W OperatorEntry.cpp:133] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::argmin(Tensor self, int? dim=None, bool keepdim=False) -> (Tensor) registered at aten/src/ATen/RegisterSchema.cpp:6 dispatch key: XLA previous kernel: registered at aten/src/ATen/RegisterCPU.cpp:21063 new kernel: registered at /usr1/workspace/FPTA_Daily_open_pytorchv1.11.0-5.0.rc1/CODE/torch_npu/csrc/aten/RegisterNPU.cpp:15958 (function registerKernel) [W OperatorEntry.cpp:133] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_embedding_bag_dense_backward(Tensor grad, Tensor indices, Tensor offset2bag, Tensor bag_size, Tensor maximum_indices, int num_weights, bool scale_grad_by_freq, int mode, Tensor? per_sample_weights, int padding_idx=-1) -> (Tensor) registered at aten/src/ATen/RegisterSchema.cpp:6 dispatch key: XLA previous kernel: registered at aten/src/ATen/RegisterCPU.cpp:21063 new kernel: registered at /usr1/workspace/FPTA_Daily_open_pytorchv1.11.0-5.0.rc1/CODE/torch_npu/csrc/aten/RegisterNPU.cpp:15958 (function registerKernel) [W OperatorEntry.cpp:133] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::empty.memory_format(int[] size, *, int? dtype=None, int? layout=None, Device? device=None, bool? pin_memory=None, int? memory_format=None) -> (Tensor) registered at aten/src/ATen/RegisterSchema.cpp:6 dispatch key: CPU previous kernel: registered at aten/src/ATen/RegisterBackendSelect.cpp:606 new kernel: registered at /usr1/workspace/FPTA_Daily_open_pytorchv1.11.0-5.0.rc1/CODE/torch_npu/csrc/aten/common/EmptyTensor.cpp:115 (function registerKernel) [W OperatorEntry.cpp:133] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::empty_strided(int[] size, int[] stride, *, int? dtype=None, int? layout=None, Device? device=None, bool? pin_memory=None) -> (Tensor) registered at aten/src/ATen/RegisterSchema.cpp:6 dispatch key: CPU previous kernel: registered at aten/src/ATen/RegisterBackendSelect.cpp:606 new kernel: registered at /usr1/workspace/FPTA_Daily_open_pytorchv1.11.0-5.0.rc1/CODE/torch_npu/csrc/aten/common/EmptyTensor.cpp:115 (function registerKernel) [W OperatorEntry.cpp:133] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_to_copy(Tensor self, *, int? dtype=None, int? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, int? memory_format=None) -> (Tensor) registered at aten/src/ATen/RegisterSchema.cpp:6 dispatch key: BackendSelect previous kernel: registered at aten/src/ATen/RegisterBackendSelect.cpp:606 new kernel: registered at /usr1/workspace/FPTA_Daily_open_pytorchv1.11.0-5.0.rc1/CODE/torch_npu/csrc/aten/common/ToKernelNpu.cpp:215 (function registerKernel) [W OperatorEntry.cpp:133] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at aten/src/ATen/RegisterSchema.cpp:6 dispatch key: (catch all) previous kernel: registered at aten/src/ATen/RegisterCompositeImplicitAutograd.cpp:10303 new kernel: registered at /usr1/workspace/FPTA_Daily_open_pytorchv1.11.0-5.0.rc1/CODE/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) /usr/local/Ascend/ascend-toolkit/latest/tools/ms_fmk_transplt/torch_npu_bridge/transfer_to_npu.py:97: ImportWarning: ************************************************************************************************************* The torch.Tensor.cuda and torch.nn.Module.cuda are replaced with torch.Tensor.npu and torch.nn.Module.npu now.. The torch.cuda.DoubleTensor is replaced with torch.npu.FloatTensor cause the double type is not supported now.. The backend in torch.distributed.init_process_group set to hccl now.. The torch.cuda.* and torch.cuda.amp.* are replaced with torch.npu.* and torch.npu.amp.* now.. The device parameters have been replaced with npu in the function below: torch.logspace, torch.randint, torch.hann_window, torch.rand, torch.full_like, torch.ones_like, torch.rand_like, torch.randperm, torch.arange, torch.frombuffer, torch.normal, torch._empty_per_channel_affine_quantized, torch.empty_strided, torch.empty_like, torch.scalar_tensor, torch.tril_indices, torch.bartlett_window, torch.ones, torch.sparse_coo_tensor, torch.randn, torch.kaiser_window, torch.tensor, torch.triu_indices, torch.as_tensor, torch.zeros, torch.randint_like, torch.full, torch.eye, torch._sparse_csr_tensor_unsafe, torch.empty, torch._sparse_coo_tensor_unsafe, torch.blackman_window, torch.zeros_like, torch.range, torch.sparse_csr_tensor, torch.randn_like, torch.from_file, torch._cudnn_init_dropout_state, torch._empty_affine_quantized, torch.linspace, torch.hamming_window, torch.empty_quantized, torch._pin_memory, torch.device, torch.Tensor.new_empty, torch.Tensor.new_empty_strided, torch.Tensor.new_full, torch.Tensor.new_ones, torch.Tensor.new_tensor, torch.Tensor.new_zeros, torch.Tensor.to, torch.nn.Module.to, torch.nn.Module.to_empty ************************************************************************************************************* warnings.warn(msg, ImportWarning) /usr/local/Ascend/ascend-toolkit/6.3.RC1/python/site-packages/tbe/tvm/contrib/ccec.py:705: DeprecationWarning: invalid escape sequence \L if not dirpath.find("AppData\Local\Temp"): Traceback (most recent call last): File "train_expert_net_via_embedding.py", line 589, in <module> inputs,label1,label2 = inputs.cuda(),label1.cuda(),label2.cuda() File "/home/HwHiAiUser/anaconda3/envs/huawei/lib/python3.7/site-packages/torch_npu/utils/device_guard.py", line 38, in wrapper return func(*args, **kwargs) File "/home/HwHiAiUser/anaconda3/envs/huawei/lib/python3.7/site-packages/torch_npu/utils/tensor_methods.py", line 66, in _npu return torch_npu._C.npu(self, *args, **kwargs) RuntimeError: Initialize:/usr1/workspace/FPTA_Daily_open_pytorchv1.11.0-5.0.rc1/CODE/torch_npu/csrc/core/npu/sys_ctrl/npu_sys_ctrl.cpp:177 NPU error, error code is 4294967295 E40020: Failed to import Python module [ModuleNotFoundError: No module named 'decorator'.]. Solution: Check that all required components are properly installed and the specified Python path matches the Python installation directory. (If the path does not match the directory, run set_env.sh in the installation package.) TraceBack (most recent call last): [GraphOpt][InitializeInner][InitTbeFunc] Failed to init tbe.[FUNC:InitializeInner][FILE:tbe_op_store_adapter.cc][LINE:1533] [SubGraphOpt][PreCompileOp][InitAdapter] InitializeAdapter adapter [tbe_op_adapter] failed! Ret [4294967295][FUNC:InitializeAdapter][FILE:op_store_adapter_manager.cc][LINE:67] [SubGraphOpt][PreCompileOp][Init] Initialize op store adapter failed, OpsStoreName[tbe-custom].[FUNC:Initialize][FILE:op_store_adapter_manager.cc][LINE:115] [FusionMngr][Init] Op store adapter manager init failed.[FUNC:Initialize][FILE:fusion_manager.cc][LINE:357] PluginManager InvokeAll failed.[FUNC:Initialize][FILE:ops_kernel_manager.cc][LINE:100] OpsManager initialize failed.[FUNC:InnerInitialize][FILE:gelib.cc][LINE:188] GELib::InnerInitialize failed.[FUNC:Initialize][FILE:gelib.cc][LINE:121] THPModule_npu_shutdown success. 请根据自己的运行环境参考以下方式搜集日志信息,如果涉及到算子开发相关的问题,建议也提供UT/ST测试和单算子集成测试相关的日志。 日志提供方式: 将日志打包后作为附件上传。若日志大小超出附件限制,则可上传至外部网盘后提供链接。 获取方法请参考wiki: https://gitee.com/ascend/modelzoo/wikis/%E5%A6%82%E4%BD%95%E8%8E%B7%E5%8F%96%E6%97%A5%E5%BF%97%E5%92%8C%E8%AE%A1%E7%AE%97%E5%9B%BE?sort_id=4097825
一、问题现象(附报错日志上下文): 我有一段自己写的nlp的基线模型训练代码,拿到华为服务器上用cpu跑是没问题的,然后放到npu上跑就出现> RuntimeError: Initialize:/usr1/workspace/FPTA_Daily_open_pytorchv1.11.0-5.0.rc1/CODE/torch_npu/csrc/core/npu/sys_ctrl/npu_sys_ctrl.cpp:177 NPU error, error code is 4294967295 E40020: Failed to import Python module [ModuleNotFoundError: No module named 'decorator'.]. 我采用自动前移的方法 在头文件里使用import torch_npu; import import transfer_to_npu 二、软件版本: -- CANN 版本 (e.g., CANN 3.0.x,5.x.x): CANN 6.3.RC1 --Tensorflow/Pytorch/MindSpore 版本: Pytorch 1.11.0 --Python 版本 (e.g., Python 3.7.11): Python 3.7.11 -- MindStudio版本 (e.g., MindStudio 2.0.0 (beta3)): MindX 5.0.RC1 --操作系统版本 (e.g., Ubuntu 20.04): Ubuntu 20.04 三、测试步骤: 在ubuntu的terminal命令行里输入 python train_expert_net_via_embedding.py 四、日志信息: 报错日志: (huawei) HwHiAiUser@administrator:~/projects/AI_matching/tools$ python train_expert_net_via_embedding.py [W OperatorEntry.cpp:133] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::is_pinned(Tensor self, Device? device=None) -> (bool) registered at aten/src/ATen/RegisterSchema.cpp:6 dispatch key: BackendSelect previous kernel: registered at aten/src/ATen/RegisterBackendSelect.cpp:606 new kernel: registered at /usr1/workspace/FPTA_Daily_open_pytorchv1.11.0-5.0.rc1/CODE/torch_npu/csrc/aten/PinMemory.cpp:42 (function registerKernel) [W OperatorEntry.cpp:133] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_pin_memory(Tensor self, Device? device=None) -> (Tensor) registered at aten/src/ATen/RegisterSchema.cpp:6 dispatch key: BackendSelect previous kernel: registered at aten/src/ATen/RegisterBackendSelect.cpp:606 new kernel: registered at /usr1/workspace/FPTA_Daily_open_pytorchv1.11.0-5.0.rc1/CODE/torch_npu/csrc/aten/PinMemory.cpp:42 (function registerKernel) [W OperatorEntry.cpp:133] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::argmax(Tensor self, int? dim=None, bool keepdim=False) -> (Tensor) registered at aten/src/ATen/RegisterSchema.cpp:6 dispatch key: XLA previous kernel: registered at aten/src/ATen/RegisterCPU.cpp:21063 new kernel: registered at /usr1/workspace/FPTA_Daily_open_pytorchv1.11.0-5.0.rc1/CODE/torch_npu/csrc/aten/RegisterNPU.cpp:15958 (function registerKernel) [W OperatorEntry.cpp:133] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::argmin(Tensor self, int? dim=None, bool keepdim=False) -> (Tensor) registered at aten/src/ATen/RegisterSchema.cpp:6 dispatch key: XLA previous kernel: registered at aten/src/ATen/RegisterCPU.cpp:21063 new kernel: registered at /usr1/workspace/FPTA_Daily_open_pytorchv1.11.0-5.0.rc1/CODE/torch_npu/csrc/aten/RegisterNPU.cpp:15958 (function registerKernel) [W OperatorEntry.cpp:133] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_embedding_bag_dense_backward(Tensor grad, Tensor indices, Tensor offset2bag, Tensor bag_size, Tensor maximum_indices, int num_weights, bool scale_grad_by_freq, int mode, Tensor? per_sample_weights, int padding_idx=-1) -> (Tensor) registered at aten/src/ATen/RegisterSchema.cpp:6 dispatch key: XLA previous kernel: registered at aten/src/ATen/RegisterCPU.cpp:21063 new kernel: registered at /usr1/workspace/FPTA_Daily_open_pytorchv1.11.0-5.0.rc1/CODE/torch_npu/csrc/aten/RegisterNPU.cpp:15958 (function registerKernel) [W OperatorEntry.cpp:133] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::empty.memory_format(int[] size, *, int? dtype=None, int? layout=None, Device? device=None, bool? pin_memory=None, int? memory_format=None) -> (Tensor) registered at aten/src/ATen/RegisterSchema.cpp:6 dispatch key: CPU previous kernel: registered at aten/src/ATen/RegisterBackendSelect.cpp:606 new kernel: registered at /usr1/workspace/FPTA_Daily_open_pytorchv1.11.0-5.0.rc1/CODE/torch_npu/csrc/aten/common/EmptyTensor.cpp:115 (function registerKernel) [W OperatorEntry.cpp:133] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::empty_strided(int[] size, int[] stride, *, int? dtype=None, int? layout=None, Device? device=None, bool? pin_memory=None) -> (Tensor) registered at aten/src/ATen/RegisterSchema.cpp:6 dispatch key: CPU previous kernel: registered at aten/src/ATen/RegisterBackendSelect.cpp:606 new kernel: registered at /usr1/workspace/FPTA_Daily_open_pytorchv1.11.0-5.0.rc1/CODE/torch_npu/csrc/aten/common/EmptyTensor.cpp:115 (function registerKernel) [W OperatorEntry.cpp:133] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_to_copy(Tensor self, *, int? dtype=None, int? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, int? memory_format=None) -> (Tensor) registered at aten/src/ATen/RegisterSchema.cpp:6 dispatch key: BackendSelect previous kernel: registered at aten/src/ATen/RegisterBackendSelect.cpp:606 new kernel: registered at /usr1/workspace/FPTA_Daily_open_pytorchv1.11.0-5.0.rc1/CODE/torch_npu/csrc/aten/common/ToKernelNpu.cpp:215 (function registerKernel) [W OperatorEntry.cpp:133] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> (bool) registered at aten/src/ATen/RegisterSchema.cpp:6 dispatch key: (catch all) previous kernel: registered at aten/src/ATen/RegisterCompositeImplicitAutograd.cpp:10303 new kernel: registered at /usr1/workspace/FPTA_Daily_open_pytorchv1.11.0-5.0.rc1/CODE/torch_npu/csrc/aten/ops/HasCompatibleShallowCopyType.cpp:37 (function registerKernel) /usr/local/Ascend/ascend-toolkit/latest/tools/ms_fmk_transplt/torch_npu_bridge/transfer_to_npu.py:97: ImportWarning: ************************************************************************************************************* The torch.Tensor.cuda and torch.nn.Module.cuda are replaced with torch.Tensor.npu and torch.nn.Module.npu now.. The torch.cuda.DoubleTensor is replaced with torch.npu.FloatTensor cause the double type is not supported now.. The backend in torch.distributed.init_process_group set to hccl now.. The torch.cuda.* and torch.cuda.amp.* are replaced with torch.npu.* and torch.npu.amp.* now.. The device parameters have been replaced with npu in the function below: torch.logspace, torch.randint, torch.hann_window, torch.rand, torch.full_like, torch.ones_like, torch.rand_like, torch.randperm, torch.arange, torch.frombuffer, torch.normal, torch._empty_per_channel_affine_quantized, torch.empty_strided, torch.empty_like, torch.scalar_tensor, torch.tril_indices, torch.bartlett_window, torch.ones, torch.sparse_coo_tensor, torch.randn, torch.kaiser_window, torch.tensor, torch.triu_indices, torch.as_tensor, torch.zeros, torch.randint_like, torch.full, torch.eye, torch._sparse_csr_tensor_unsafe, torch.empty, torch._sparse_coo_tensor_unsafe, torch.blackman_window, torch.zeros_like, torch.range, torch.sparse_csr_tensor, torch.randn_like, torch.from_file, torch._cudnn_init_dropout_state, torch._empty_affine_quantized, torch.linspace, torch.hamming_window, torch.empty_quantized, torch._pin_memory, torch.device, torch.Tensor.new_empty, torch.Tensor.new_empty_strided, torch.Tensor.new_full, torch.Tensor.new_ones, torch.Tensor.new_tensor, torch.Tensor.new_zeros, torch.Tensor.to, torch.nn.Module.to, torch.nn.Module.to_empty ************************************************************************************************************* warnings.warn(msg, ImportWarning) /usr/local/Ascend/ascend-toolkit/6.3.RC1/python/site-packages/tbe/tvm/contrib/ccec.py:705: DeprecationWarning: invalid escape sequence \L if not dirpath.find("AppData\Local\Temp"): Traceback (most recent call last): File "train_expert_net_via_embedding.py", line 589, in <module> inputs,label1,label2 = inputs.cuda(),label1.cuda(),label2.cuda() File "/home/HwHiAiUser/anaconda3/envs/huawei/lib/python3.7/site-packages/torch_npu/utils/device_guard.py", line 38, in wrapper return func(*args, **kwargs) File "/home/HwHiAiUser/anaconda3/envs/huawei/lib/python3.7/site-packages/torch_npu/utils/tensor_methods.py", line 66, in _npu return torch_npu._C.npu(self, *args, **kwargs) RuntimeError: Initialize:/usr1/workspace/FPTA_Daily_open_pytorchv1.11.0-5.0.rc1/CODE/torch_npu/csrc/core/npu/sys_ctrl/npu_sys_ctrl.cpp:177 NPU error, error code is 4294967295 E40020: Failed to import Python module [ModuleNotFoundError: No module named 'decorator'.]. Solution: Check that all required components are properly installed and the specified Python path matches the Python installation directory. (If the path does not match the directory, run set_env.sh in the installation package.) TraceBack (most recent call last): [GraphOpt][InitializeInner][InitTbeFunc] Failed to init tbe.[FUNC:InitializeInner][FILE:tbe_op_store_adapter.cc][LINE:1533] [SubGraphOpt][PreCompileOp][InitAdapter] InitializeAdapter adapter [tbe_op_adapter] failed! Ret [4294967295][FUNC:InitializeAdapter][FILE:op_store_adapter_manager.cc][LINE:67] [SubGraphOpt][PreCompileOp][Init] Initialize op store adapter failed, OpsStoreName[tbe-custom].[FUNC:Initialize][FILE:op_store_adapter_manager.cc][LINE:115] [FusionMngr][Init] Op store adapter manager init failed.[FUNC:Initialize][FILE:fusion_manager.cc][LINE:357] PluginManager InvokeAll failed.[FUNC:Initialize][FILE:ops_kernel_manager.cc][LINE:100] OpsManager initialize failed.[FUNC:InnerInitialize][FILE:gelib.cc][LINE:188] GELib::InnerInitialize failed.[FUNC:Initialize][FILE:gelib.cc][LINE:121] THPModule_npu_shutdown success. 请根据自己的运行环境参考以下方式搜集日志信息,如果涉及到算子开发相关的问题,建议也提供UT/ST测试和单算子集成测试相关的日志。 日志提供方式: 将日志打包后作为附件上传。若日志大小超出附件限制,则可上传至外部网盘后提供链接。 获取方法请参考wiki: https://gitee.com/ascend/modelzoo/wikis/%E5%A6%82%E4%BD%95%E8%8E%B7%E5%8F%96%E6%97%A5%E5%BF%97%E5%92%8C%E8%AE%A1%E7%AE%97%E5%9B%BE?sort_id=4097825
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