/envs/resnet50/lib/python3.8/site-packages/torch/tensor.py", line 486, in __array__TypeError: can't convert CUDA tensor to numpy.Use Tensor.cpu() to copy the tensor to host memory first
但是发生了以下错误tr_logits = tr_logits.detach().cpu().numpy()tr_batch_labels = tr_label_ids.to(device).numpyInitialized model and moved it to cuda.
Initialized opti
我正在尝试使用我自己的算法找到掩码的最小和最大x和y像素的坐标。我正在尝试将元组的值转换为numpy。然而,我得到了下面的错误 TypeError: can't convert cuda:0 device type tensor to numpy.Use Tensor.cpu() to copy the tensor to host memory first.) print(xmax) 注意:T是一个p
我创建了一个函数,在pyTorch中训练一个模型,将图片分类为占位符图像和产品图像。现在,我正在尝试获取f1_score,并将这些行添加到代码中:添加以下内容后,我将得到错误
can't convert cuda:0 device type tensor to numpyUse Tensor.cpu() to copy the tensor to host memory first.