I’m a newbie in tvm, and I create a tvm.te.tensor.Tensor output0:
compute(output0, body=[(input0[(N + 1), M, K] - input0[N, M, K])], axis=[iter_var(N, range(min=0, ext=67)), iter_var(M, range(min=0, ext=67)), iter_var(K, range(min=0, ext=60))], reduce_axis=[], tag=, attrs={})
However, the area I want to calculate is not equal to the shape area of the output0, so I want to change the axis in output0 so that the min parameter is not equal to 0. Is there any way to do this？ Any help to solve this problem is appreciated!!!