Hi,@AndrewZhaoLuo ,I also have a problem about relay.take
I have to both do argmax and max to the same tensor as following
tensor1 = relay.op.argmax(prob, axis=2, keepdims=True)
tensor2 = relay.op.max(prob, axis=2, keepdims=True)
And they cost too much time since the prob tensor is very large.
Can I use relay.take() and tensor1 to get tensor2 from prob? Or Can I get both tensor1/tensor2 from a single function?