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it throws the exception of AttributeError: 'NoneType' object has no attribute 'label_type' I have tried to install the torch library. In other cnn implementations, input_tensor = torch.from_numpy(x).float() print(type(input_tensor)) outputs float object, while, in this implementation input_tensor = input_tensor.view(-1,2) outputs the following There is a similar issue, here the solution is to change the function definition to: class CNN: def __init__(self, activation=nn.ReLU, kernel_size=3,padding=1,bias=True,bias_initializer='zeros',use_cudnn=True,classification=True,prediction=False,input_dim=784,data_dim=64): self.activation = activation self.kernel_size = kernel_size self.padding = padding self.bias = bias self.bias_initializer = bias_initializer self.use_cudnn = use_cudnn self.classification = classification self.prediction = prediction self.input_dim = input_dim self.data_dim = data_dim self.class_label = None self.conv1 = nn.Conv2d(self.input_dim, self.data_dim, kernel_size=3, padding=self.padding,bias=False) self.conv1.cudnn.bias.zero_() self.conv2 = nn.Conv2d(self.data_dim, self.data_dim, kernel_size=3, padding=self.

 

 

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Vuescan 9.1.17 Crack Keygen [Latest] 2022

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