«IndexError: Цель 1 выходит за пределы» от CrossEntropyLoss ⇐ Python

[Anonymous]

Когда я запускаю приведенную ниже программу, она выдает ошибку. Кажется, проблема в функции потерь, но я не могу ее найти. Я прочитал документацию Pytorch для nn.CrossEntropyLoss, но до сих пор не могу найти проблему.
Размер изображения (1 x 256 x 256),
Размер пакета — 1.
import torch
import torch.nn as nn
from PIL import Image
import numpy as np
torch.manual_seed(0)

x = np.array(Image.open("cat.jpg"))
x = np.expand_dims(x, axis = 0)
x = np.expand_dims(x, axis = 0)
x = torch.from_numpy(x)
x = x.type(torch.FloatTensor) # shape = (1, 1, 256, 256)

def Conv(in_channels, out_channels, kernel=3, stride=1, padding=0):
return nn.Conv2d(in_channels, out_channels, kernel, stride, padding)

class model(nn.Module):
def __init__(self):
super(model, self).__init__()

self.sequential = nn.Sequential(
Conv(1, 3),
Conv(3, 5),
nn.Flatten(),
nn.Linear(317520, 1),
nn.Sigmoid()
)

def forward(self, x):
y = self.sequential(x)
return y

def compute_loss(y_hat, y):
return nn.CrossEntropyLoss()(y_hat, y)

model = model()
y_hat = model(x)

loss = compute_loss(y_hat, torch.tensor([1]))

Ошибка:
Traceback (most recent call last):
File "D:/Me/AI/Models/test.py", line 38, in
loss = compute_loss(y, torch.tensor([1]))
File "D:/Me/AI/Models/test.py", line 33, in compute_loss
return nn.CrossEntropyLoss()(y_hat, y)
File "D:\Softwares\Anaconda\envs\deeplearning\lib\site-packages\torch\nn\modules\module.py", line 1054, in _call_impl
return forward_call(*input, **kwargs)
File "D:\Softwares\Anaconda\envs\deeplearning\lib\site-packages\torch\nn\modules\loss.py", line 1120, in forward
return F.cross_entropy(input, target, weight=self.weight,
File "D:\Softwares\Anaconda\envs\deeplearning\lib\site-packages\torch\nn\functional.py", line 2824, in cross_entropy
return torch._C._nn.cross_entropy_loss(input, target, weight, _Reduction.get_enum(reduction), ignore_index)
IndexError: Target 1 is out of bounds.

Process finished with exit code 1


Подробнее здесь: https://stackoverflow.com/questions/678 ... ntropyloss