code: def dequantize_compute(tensor_A, scale_A, zero_point_A):
      return te.compute(
          tensor_A.shape,
          lambda *indices: (
              scale_A * (tensor_A[indices] - zero_point_A)
          ).astype("float32"),
          name="dequantize",
      )
  
imports: from tvm import te
  from tvm import tir
  from ..utils import get_layout_transform_fn
label_desc: Use image node_id 1 for calling a global function with example usage: dequantize_compute(tensor_A, scale_A, zero_point_A) and returns: te