PaddlePaddle
rtdetr模型在部署推理时报错，而其他模型不会，报错如下:
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使用官方给出的deploy\python\infer.py进行推理，其他模型都没有问题，但redert有问题，加载模型时报错内存未分配。
File "D:\python\PaddleDetection-v2.7.0\deploy\python\infer.py", line 107, in init self.predictor, self.config = load_predictor( ^^^^^^^^^^^^^^^ File "D:\python\PaddleDetection-v2.7.0\deploy\python\infer.py", line 1060, in load_predictor predictor = create_predictor(config) ^^^^^^^^^^^^^^^^^^^^^^^^ RuntimeError: (PreconditionNotMet) Tensor's dimension is out of bound.Tensor's dimension must be equal or less than the size of its memory.But received Tensor's dimension is 8, memory's size is 0. [Hint: Expected numel() * SizeOf(dtype()) <= memory_size(), but received numel() * SizeOf(dtype()):8 > memory_size():0.] (at ..\paddle\phi\core\dense_tensor_impl.cc:55) [operator < cast > error]
目前PaddleX支持了RT-DETR系列模型的训练、推理、部署等功能，推荐尝试PaddleX使用，具体可参考文档，如遇到任何问题，欢迎继续提问~
https://github.com/PaddlePaddle/PaddleX/blob/release/3.0-beta1/docs/module_usage/tutorials/cv_modules/object_detection.md
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