python3.8和torch1.6配置什么numpy
时间: 2023-05-12 14:04:45 浏览: 201
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
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。
Traceback (most recent call last): File "c:\Users\裴沐阳\Desktop\裴沐阳毕设相关\毕设--图像分割\UNet\U-Net.py", line 347, in <module> history = fit(epoch, model, train_loader, val_loader, criterion, optimizer, sched) File "c:\Users\裴沐阳\Desktop\裴沐阳毕设相关\毕设--图像分割\UNet\U-Net.py", line 214, in fit for i, data in enumerate(tqdm(train_loader)): File "D:\python\python3.8\envs\pmyixq\lib\site-packages\tqdm\notebook.py", line 254, in __iter__ for obj in it: File "D:\python\python3.8\envs\pmyixq\lib\site-packages\tqdm\std.py", line 1178, in __iter__ for obj in iterable: File "D:\python\python3.8\envs\pmyixq\lib\site-packages\torch\utils\data\dataloader.py", line 681, in __next__ data = self._next_data() File "D:\python\python3.8\envs\pmyixq\lib\site-packages\torch\utils\data\dataloader.py", line 721, in _next_data data = self._dataset_fetcher.fetch(index) # may raise StopIteration File "D:\python\python3.8\envs\pmyixq\lib\site-packages\torch\utils\data\_utils\fetch.py", line 49, in fetch data = [self.dataset[idx] for idx in possibly_batched_index] File "D:\python\python3.8\envs\pmyixq\lib\site-packages\torch\utils\data\_utils\fetch.py", line 49, in <listcomp> data = [self.dataset[idx] for idx in possibly_batched_index] File "c:\Users\裴沐阳\Desktop\裴沐阳毕设相关\毕设--图像分割\UNet\U-Net.py", line 78, in __getitem__ aug = self.transform(image=img, mask=mask) File "D:\python\python3.8\envs\pmyixq\lib\site-packages\albumentations\core\composition.py", line 195, in __call__ self._check_args(**data) File "D:\python\python3.8\envs\pmyixq\lib\site-packages\albumentations\core\composition.py", line 275, in _check_args raise TypeError("{} must be numpy array type".format(data_name)) TypeError: mask must be numpy array type
根据您提供的错误信息,看起来出现了一个类型错误。错误消息指出了问题所在:遮罩(mask)必须是NumPy数组类型。这意味着在您的代码中,遮罩(mask)的数据类型不正确。
要解决这个问题,您可以尝试使用`np.array()`将遮罩数据转换为NumPy数组类型。例如,在加载数据时,您可以检查遮罩(mask)是否已经是NumPy数组类型,如果不是,则将其转换为NumPy数组类型。以下是一种可能的解决方案:
```python
import numpy as np
# 在加载数据时,确保遮罩(mask)是NumPy数组类型
mask = np.array(mask)
# 继续进行后续操作
```
请确保在转换遮罩(mask)之前,您已经正确加载了图像和遮罩数据。希望这能帮助您解决问题!如果您有任何其他问题,请随时提问。