scores = outputs['bbox'][:, 1].numpy() 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 d4 memory's size is 0. [Hint: Expected numel() * SizeOfType(type()) <= memory_size(), but received numel() * SizeOfType(type()):4 > memory_size():0.] (at ..\paddle\fluid\framework\tensor.cc:39)

[3244we]

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scores = outputs['bbox'][:, 1].numpy() 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 d4 memory's size is 0. [Hint: Expected numel() * SizeOfType(type()) <= memory_size(), but received numel() * SizeOfType(type()):4 > memory_size():0.] (at ..\paddle\fluid\framework\tensor.cc:39)

在用pp-yolo做目标检测的时候遇到了这个报错，不知道要怎么改动去解决

[lyuwenyu]

1. 训练还是预测 2. paddle和ppdet版本 3. 自己的数据还是COCO

[3244we]

1. 训练还是预测 2. paddle和ppdet版本 3. 自己的数据还是COCO 训练的时候，在ppdet.metrics.metrics里面报错的 paddle是2.2.1.post101 ppdet是2.1 自己的数据集，大概有600个样本。