![]() Ignore_index=self.ignore_index, reduction=self.reduction)įile "C:\Users\User\Anaconda3\envs\torch\lib\site-packages\torch\nn\functional.py", line 2009, in cross_entropy Pydev_imports.execfile(file, globals, locals) # execute the scriptįile "C:\Program Files\JetBrains\P圜harm Community Edition 2019.2\helpers\pydev\_pydev_imps\_pydev_execfile.py", line 18, in execfileĮxec(compile(contents "\n", file, 'exec'), glob, loc)įile "C:/Users/User/Desktop/paper_recreation/PCA_CNN/CNN_DEBUG.py", line 109, in įile "C:\Users\User\Anaconda3\envs\torch\lib\site-packages\torch\nn\modules\module.py", line 541, in _call_įile "C:\Users\User\Anaconda3\envs\torch\lib\site-packages\torch\nn\modules\loss.py", line 916, in forward Return self._exec(is_module, entry_point_fn, module_name, file, globals, locals)įile "C:\Program Files\JetBrains\P圜harm Community Edition 2019.2\helpers\pydev\pydevd.py", line 1412, in _exec Globals = n(setup, None, None, is_module)įile "C:\Program Files\JetBrains\P圜harm Community Edition 2019.2\helpers\pydev\pydevd.py", line 1405, in run Print(str(i) ': ' str(loss)) Traceback (most recent call last):įile "C:\Program Files\JetBrains\P圜harm Community Edition 2019.2\helpers\pydev\pydevd.py", line 2060, in įile "C:\Program Files\JetBrains\P圜harm Community Edition 2019.2\helpers\pydev\pydevd.py", line 2054, in main (64圆6, 64x1) n, target_size, num_epoc, learning_rate = 66, 1, 100, 0.001 model = Net() criterion = nn.CrossEntropyLoss() optimizer = (model.parameters(), lr=learning_rate) for i in range(num_epoc): (64圆6, 64x1) test_loader = (dataset=custom_dataset.MNIST_test, Shuffle=True) # outputs (sample, targets) -> Import torch import torch.nn as nn class Net(nn.Module):Ĭustom_dataset = CustomDataset() train_loader = (dataset=custom_dataset.MNIST_train, ![]()
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