mac-pytorch报错:packages/torch/__init__.py", line 79, in <module> from torch._C import *

博主在安装pytorch时遇到报错,使用特定命令未解决。之后在mac上安装了某些包,成功实现import torch,解决了导入问题。

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Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/Users/a/Documents/develop/anaconda2/lib/python2.7/site-packages/torch/__init__.py", line 79, in <module>
    from torch._C import *
ImportError: dlopen(/Users/a/Documents/develop/anaconda2/lib/python2.7/site-packages/torch/_C.so, 9): Library not loaded: /usr/local/opt/libomp/lib/libomp.dylib
  Referenced from: /Users/a/Documents/develop/anaconda2/lib/python2.7/site-packages/torch/lib/libshm.dylib
  Reason: image not found

今天安装pytorch,报如上错误,使用的是如下命令

sudo pip install torch torchvision

后来在mac上安装了如下包就可以import torch了

pip install intel-openmp

brew install libomp

 

No sympy found Traceback (most recent call last): File "/home/wuwei/anaconda3/envs/yolov8/bin/yolo", line 5, in <module> from ultralytics.cfg import entrypoint File "/home/wuwei/anaconda3/envs/yolov8/lib/python3.8/site-packages/ultralytics/__init__.py", line 11, in <module> from ultralytics.models import NAS, RTDETR, SAM, YOLO, YOLOE, FastSAM, YOLOWorld File "/home/wuwei/anaconda3/envs/yolov8/lib/python3.8/site-packages/ultralytics/models/__init__.py", line 3, in <module> from .fastsam import FastSAM File "/home/wuwei/anaconda3/envs/yolov8/lib/python3.8/site-packages/ultralytics/models/fastsam/__init__.py", line 3, in <module> from .model import FastSAM File "/home/wuwei/anaconda3/envs/yolov8/lib/python3.8/site-packages/ultralytics/models/fastsam/model.py", line 5, in <module> from ultralytics.engine.model import Model File "/home/wuwei/anaconda3/envs/yolov8/lib/python3.8/site-packages/ultralytics/engine/model.py", line 8, in <module> import torch File "/home/wuwei/anaconda3/envs/yolov8/lib/python3.8/site-packages/torch/__init__.py", line 1465, in <module> from . import _meta_registrations File "/home/wuwei/anaconda3/envs/yolov8/lib/python3.8/site-packages/torch/_meta_registrations.py", line 7, in <module> from torch._decomp import _add_op_to_registry, global_decomposition_table, meta_table File "/home/wuwei/anaconda3/envs/yolov8/lib/python3.8/site-packages/torch/_decomp/__init__.py", line 169, in <module> import torch._decomp.decompositions File "/home/wuwei/anaconda3/envs/yolov8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 10, in <module> import torch._prims as prims File "/home/wuwei/anaconda3/envs/yolov8/lib/python3.8/site-packages/torch/_prims/__init__.py", line 33, in <module> from torch._subclasses.fake_tensor import FakeTensor, FakeTensorMode File "/home/wuwei/anaconda3/envs/yolov8/lib/python3.8/site-packages/torch/_subclasses/__init__.py", line 3, in <module> from torch._subclasses.fake_tensor import ( File "/home/wuwei/anaconda3/envs/yolov8/lib/python3.8/site-packages/torch/_subclasses/fake_tensor.py", line 13, in <module> from torch._guards import Source File "/home/wuwei/anaconda3/envs/yolov8/lib/python3.8/site-packages/torch/_guards.py", line 78, in <module> class ShapeGuard(NamedTuple): File "/home/wuwei/anaconda3/envs/yolov8/lib/python3.8/site-packages/torch/_guards.py", line 79, in ShapeGuard expr: sympy.Expr NameError: name 'sympy' is not defined
06-03
A module that was compiled using NumPy 1.x cannot be run in NumPy 2.0.2 as it may crash. To support both 1.x and 2.x versions of NumPy, modules must be compiled with NumPy 2.0. Some module may need to rebuild instead e.g. with 'pybind11>=2.12'. If you are a user of the module, the easiest solution will be to downgrade to 'numpy<2' or try to upgrade the affected module. We expect that some modules will need time to support NumPy 2. Traceback (most recent call last): File "/emotion-recogniton-pytorch-orangepiaipro-main/train_emotion_classifier.py", line 2, in <module> import torch File "/usr/local/miniconda3/lib/python3.9/site-packages/torch/__init__.py", line 1382, in <module> from .functional import * # noqa: F403 File "/usr/local/miniconda3/lib/python3.9/site-packages/torch/functional.py", line 7, in <module> import torch.nn.functional as F File "/usr/local/miniconda3/lib/python3.9/site-packages/torch/nn/__init__.py", line 1, in <module> from .modules import * # noqa: F403 File "/usr/local/miniconda3/lib/python3.9/site-packages/torch/nn/modules/__init__.py", line 35, in <module> from .transformer import TransformerEncoder, TransformerDecoder, \ File "/usr/local/miniconda3/lib/python3.9/site-packages/torch/nn/modules/transformer.py", line 20, in <module> device: torch.device = torch.device(torch._C._get_default_device()), # torch.device('cpu'), /usr/local/miniconda3/lib/python3.9/site-packages/torch/nn/modules/transformer.py:20: UserWarning: Failed to initialize NumPy: _ARRAY_API not found (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:84.) device: torch.device = torch.device(torch._C._get_default_device()), # torch.device('cpu'), Traceback (most recent call last): File "/emotion-recogniton-pytorch-orangepiaipro-main/train_emotion_classifier.py", line 6, in <module> from torchvision import transforms File "/usr/local/miniconda3/lib/python3.9/site-packages/torchvision/__init__.py", line 6, in <module> from torchvision import _meta_registrations, datasets, io, models, ops, transforms, utils File "/usr/local/miniconda3/lib/python3.9/site-packages/torchvision/models/__init__.py", line 2, in <module> from .convnext import * File "/usr/local/miniconda3/lib/python3.9/site-packages/torchvision/models/convnext.py", line 8, in <module> from ..ops.misc import Conv2dNormActivation, Permute File "/usr/local/miniconda3/lib/python3.9/site-packages/torchvision/ops/__init__.py", line 1, in <module> from ._register_onnx_ops import _register_custom_op File "/usr/local/miniconda3/lib/python3.9/site-packages/torchvision/ops/_register_onnx_ops.py", line 5, in <module> from torch.onnx import symbolic_opset11 as opset11 File "/usr/local/miniconda3/lib/python3.9/site-packages/torch/onnx/__init__.py", line 57, in <module> from ._internal.onnxruntime import ( File "/usr/local/miniconda3/lib/python3.9/site-packages/torch/onnx/_internal/onnxruntime.py", line 34, in <module> import onnx File "/home/HwHiAiUser/.local/lib/python3.9/site-packages/onnx/__init__.py", line 11, in <module> from onnx.external_data_helper import load_external_data_for_model, write_external_data_tensors, convert_model_to_external_data File "/home/HwHiAiUser/.local/lib/python3.9/site-packages/onnx/external_data_helper.py", line 14, in <module> from .onnx_pb import TensorProto, ModelProto File "/home/HwHiAiUser/.local/lib/python3.9/site-packages/onnx/onnx_pb.py", line 8, in <module> from .onnx_ml_pb2 import * # noqa File "/home/HwHiAiUser/.local/lib/python3.9/site-packages/onnx/onnx_ml_pb2.py", line 33, in <module> _descriptor.EnumValueDescriptor( File "/usr/local/miniconda3/lib/python3.9/site-packages/google/protobuf/descriptor.py", line 789, in __new__ _message.Message._CheckCalledFromGeneratedFile() TypeError: Descriptors cannot be created directly. If this call came from a _pb2.py file, your generated code is out of date and must be regenerated with protoc >= 3.19.0. If you cannot immediately regenerate your protos, some other possible workarounds are: 1. Downgrade the protobuf package to 3.20.x or lower. 2. Set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python (but this will use pure-Python parsing and will be much slower). More information: https://developers.google.com/protocol-buffers/docs/news/2022-05-06#python-updates
05-15
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