Python提示AttributeError 或者DeprecationWarning: This module was deprecated解决方法

本文提供了解决Python中遇到的AttributeError及DeprecationWarning的方法,包括模块被废弃的相关处理技巧。通过阅读本文,你可以了解到如何避免这些警告以及如何正确地更新代码以适应新的Python版本。
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Engine loaded successfully tensorrt_detect.py:20: DeprecationWarning: Use get_tensor_name instead. name = engine.get_binding_name(i) tensorrt_detect.py:21: DeprecationWarning: Use get_tensor_dtype instead. dtype = engine.get_binding_dtype(i) tensorrt_detect.py:22: DeprecationWarning: Use get_tensor_shape instead. shape = engine.get_binding_shape(i) /usr/lib/python3.8/dist-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 "tensorrt_detect.py", line 183, in <module> main() File "tensorrt_detect.py", line 118, in main inputs, outputs, bindings, stream = allocate_buffers(engine) File "tensorrt_detect.py", line 29, in allocate_buffers dtype = trt.nptype(dtype) File "/usr/lib/python3.8/dist-packages/tensorrt/__init__.py", line 166, in nptype bool: np.bool, File "/home/jetson/miniforge3/envs/pytorch/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 [09/08/2025-14:55:26] [TRT] [E] 1: [defaultAllocator.cpp::deallocate::42] Error Code 1: Cuda Runtime (invalid argument) 段错误 (核心已转储) 什么错误
最新发布
09-09
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