1.pytorch报错:ValueError: Expected more than 1 value per channel when training, got input size torch.Size([1,512,1,1]) 2.网上查找的原因为模型中用了batchnomolization,训练中用batch训练的时候当前batch恰好只含一个sample,而由于BatchNorm操作需要多于一个数据计算平均值,因此造成该错误. 3.解决方法:在torch.utils.data.Data…
报错代码: new_x = 84610 pre_y = model.predict(new_x) print(pre_y) 报错结果: ValueError: Expected 2D array, got scalar array instead: array=84610. Reshape your data either using array.reshape(-1, 1) if your data has a single feature or array.reshape(1, -1) if…