code: def schedule(
      self,
      logical_shape,
      dtype,
      transform_A,
      transform_B,
      after_transform,
  ):
      A = te.placeholder(shape=logical_shape, dtype=dtype, name="A")
      B = te.compute(
          shape=A.shape, fcompute=lambda i, j, k: A[i, j, k], name="B"
      )
  
      s = te.create_schedule(B.op)
  
      if transform_A:
          s[A].transform_layout(
              self.make_transform(logical_shape, transform_A)
          )
  
      iter_vars = s[B].transform_layout(
          self.make_transform(logical_shape, transform_B)
      )
      iter_vars = list(iter_vars)
  
      if after_transform == "reorder":
          s[B].reorder(*iter_vars[::-1])
  
      elif after_transform == "split":
          s[B].split(iter_vars[-1], nparts=2)
  
      elif after_transform == "fuse":
          to_fuse = iter_vars[:2]
          s[B].fuse(*iter_vars[:2])
  
      return {
          "schedule": s,
          "tensors": [A, B],
          "iter_vars": iter_vars,
      }
  
imports: import functools
  import sys
  import pytest
  import numpy
  import tvm
  import tvm.testing
  from tvm import te
  from tvm.tir.stmt_functor import post_order_visit
  from tvm.driver.build_module import schedule_to_module
label_desc: Use image node_id 4 for calling the TestTransformedSchedules obj's underlying member method code with example usage: obj.schedule(logical_shape, dtype, transform_A, transform_B, after_transform) and returns: dict