How do I pass an array of tensors into the criterion/loss function in PyTorch?
My loss function gives an error:
self.loss_fn = nn.MSELoss()

#### -- Snip ####

loss = self.loss_fn(predictions, targets) # Error here: 'list' object has no attribute 'size'
loss.backward()

My predictions are an array of tensors as follows:
predictions = []
for _ in range(100):
   prediction = MyNeuralNet(inputs)
   predictions.append(prediction)

How can I pass an array of tensors into my loss criterion function without getting the above error?

By using torch.stack I could fix my issue:
predictions = torch.stack(predictions)
loss = self.loss_fn(predictions, targets)

