TypeError: 'Tensor' object is not callable

[hasan-svg]

torch.manual_seed(42)

An epoch is one loop through the data...

epochs=1

Training

1. Loop through the data

for epoch in range(epochs):
# Set the model to train mode
model_0.train() # turn on gradient requires gradient

# 2. Forward pass
y_preds = model_0(x_train)

# 3. Calculate the loss
loss = loss_fn(y_preds,y_train)
print(f"Loss: {loss}")

# 4. Optimize zero grad
optimizer.zero_grad()
# 5. Perform backpropagartion on the loss with respect to the parameters of the model
loss.backward()
# 6. set the optimizer
optimizer.step()
# Testing
model_0.eval() # turn off gradient

[Bandi-Saideva-Goud]

If you can paste whole cell code and complete error, it is easy to help

[bofcarbon1]

I received this error a couple of times. Without more details difficult to pinpoint. When I got the errors most of the time the problem was with a conflicting 'type' Could be the way arguments/parameters are passed between functions. By default the objects created may have a type of 'any' which work in most cases but not in functions that are particular about a specific type. For example a transform result passed into another tool function may result in an not callable object due to the 'type' conflict in one of the parameters.