@key_crushe Hello , I have question for you related to this if it is possible.
Why you did not specify baselines.
I have some code same, takes sequence of 341 and give one classes from {1,2,3} the model take batch of data tensor of shape  [16,341] and return vector of length 16. I am new o capium but the following code did not work
ig = IntegratedGradients(model)
test_input_tensor, targets = next(iter(testloader))
test_input_tensor =test_input_tensor.requires_grad_()
attr = ig.attribute(test_input_tensor,  target = 0 , return_convergence_delta=False)
attr = attr.detach().numpy()
the error is related to baseline i tried to specify basline of the same shape of input but it doest work
did i wrote somethong wrong here ?
any suggestion?
I