python3.8和torch1.6配置什么numpy

您可以使用以下命令安装适用于Python 3.8和Torch 1.6的numpy：

pip install numpy==1.19.3

请注意，这是当前最新版本的numpy，适用于Python 3.8和Torch 1.6。

相关问题

pytorch 1.12.0 cuda11.3 python3.8 的torch_geometric安装代码

您可以按照以下步骤安装torch_geometric：

1. 首先，请确保您的CUDA和PyTorch版本与您提供的版本匹配。

2. 安装必要的依赖项：

pip install numpy scipy torch-scatter -f https://data.pyg.org/whl/torch-1.12.0+cu113.html
pip install torch-sparse -f https://data.pyg.org/whl/torch-1.12.0+cu113.html
pip install torch-cluster -f https://data.pyg.org/whl/torch-1.12.0+cu113.html
pip install torch-spline-conv -f https://data.pyg.org/whl/torch-1.12.0+cu113.html

3. 安装torch_geometric：

pip install torch-geometric

希望这可以帮助您安装所需的软件包。

06/06/2023-16:31:47] [TRT] [I] [MemUsageChange] TensorRT-managed allocation in IExecutionContext creation: CPU +0, GPU +0, now: CPU 0, GPU 0 (MiB) /home/sniper/anaconda3/envs/labelme/lib/python3.8/site-packages/tensorrt/__init__.py:166: FutureWarning: In the future `np.bool` will be defined as the corresponding NumPy scalar. bool: np.bool, Traceback (most recent call last): File "/home/sniper/anaconda3/envs/labelme/bin/yolo", line 8, in <module> sys.exit(entrypoint()) File "/home/sniper/anaconda3/envs/labelme/lib/python3.8/site-packages/ultralytics/yolo/cfg/__init__.py", line 398, in entrypoint getattr(model, mode)(**overrides) # default args from model File "/home/sniper/anaconda3/envs/labelme/lib/python3.8/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context return func(*args, **kwargs) File "/home/sniper/anaconda3/envs/labelme/lib/python3.8/site-packages/ultralytics/yolo/engine/model.py", line 302, in val validator(model=self.model) File "/home/sniper/anaconda3/envs/labelme/lib/python3.8/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context return func(*args, **kwargs) File "/home/sniper/anaconda3/envs/labelme/lib/python3.8/site-packages/ultralytics/yolo/engine/validator.py", line 114, in __call__ model = AutoBackend(model, device=self.device, dnn=self.args.dnn, data=self.args.data, fp16=self.args.half) File "/home/sniper/anaconda3/envs/labelme/lib/python3.8/site-packages/ultralytics/nn/autobackend.py", line 174, in __init__ dtype = trt.nptype(model.get_binding_dtype(i)) File "/home/sniper/anaconda3/envs/labelme/lib/python3.8/site-packages/tensorrt/__init__.py", line 166, in nptype bool: np.bool, File "/home/sniper/anaconda3/envs/labelme/lib/python3.8/site-packages/numpy/__init__.py", line 305, in __getattr__ raise AttributeError(__former_attrs__[attr]) AttributeError: module 'numpy' has no attribute 'bool'. `np.bool` was a deprecated alias for the builtin `bool`. To avoid this error in existing code, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations 如何修复

这个错误是由于使用了在NumPy 1.20中被废弃的`np.bool`别名所引起的。可以将`np.bool`替换为`bool`来避免这个错误。可以在代码中查找`np.bool`并将其替换为`bool`。如果你确实需要使用NumPy的布尔类型，可以使用`np.bool_`。你可以查看NumPy 1.20的发布说明以获取更多详细信息和指导。