一些报错以及解决办法_1

1.报错信息：TYPEERROR: MAX() RECEIVED AN INVALID COMBINATION OF ARGUMENTS - GOT (AXIS=INT, OUT=NONETYPE, ), BUT EXPECTED ONE OF:
报错代码为：

def f1_overall_1sec(O, T, block_size):
    if len(O.shape) == 3:
        O, T = utils.reshape_3Dto2D(O), utils.reshape_3Dto2D(T) #[4096, 6]
    new_size = int(np.ceil(O.shape[0] / block_size))
    O_block = np.zeros((new_size, O.shape[1]))
    T_block = np.zeros((new_size, O.shape[1]))
    for i in range(0, new_size):
        O_block[i, :] = np.max(O[int(i * block_size):int(i * block_size + block_size - 1), ], axis=0) #报错行
        T_block[i, :] = np.max(T[int(i * block_size):int(i * block_size + block_size - 1), ], axis=0)
    return f1_overall_framewise(O_block, T_block)

我出现该错误的原因是传入的参数O和T是tensor，需要转换为numpy
报错代码行修改为：

O_block[i, :] = np.max(O[int(i * block_size):int(i * block_size + block_size - 1), ].cpu().numpy(), axis=0)

参考网址：TYPEERROR: MAX() RECEIVED AN INVALID COMBINATION OF ARGUMENTS - GOT (AXIS=INT, OUT=NONETYPE, ), BUT EXPECTED ONE OF:

2.报错信息：TypeError: can't convert cuda:0 device type tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory first.
报错代码行为：

plt.plot(range(nb_epoch), val_loss, label='val loss')

按照报错信息添加.cpu()依然会报错list元素不支持.cpu()
报错代码修改为：

val_loss = torch.tensor(val_loss, device='cpu')
plt.plot(range(nb_epoch), val_loss, label='val loss')