code: def schedule_args(
      self,
      target,
      A_size,
      transform_A,
      transform_B,
      cache_A,
      cache_B,
      dtype,
  ):
      A = te.placeholder(shape=[A_size], dtype=dtype, name="A")
      B = te.compute(A.shape, lambda i: A[i], name="B")
      s = te.create_schedule(B.op)
  
      requires_thread_bind = "gpu" in tvm.target.Target(target).keys
      thread_x = te.thread_axis("threadIdx.x")
      thread_y = te.thread_axis("threadIdx.y")
      thread_z = te.thread_axis("threadIdx.z")
  
      if cache_A:
          AA = s.cache_read(A, "shared", [B])
          if requires_thread_bind:
              s[AA].bind(AA.op.axis[0], thread_x)
  
      if cache_B:
          BB = s.cache_write(B, "shared")
          if requires_thread_bind:
              s[BB].bind(BB.op.axis[0], thread_y)
  
      if transform_A:
          A_axis = s[A].transform_layout(lambda i: [i // 4, i % 4])
  
      if transform_B:
          B_axis = s[B].transform_layout(lambda i: [i // 4, i % 4])
      else:
          B_axis = B.op.axis
  
      if requires_thread_bind:
          s[B].bind(B_axis[0], thread_z)
  
      return [s, [A, B]]
  
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 1 for calling the TestTransformCache obj's underlying member method code with example usage: obj.schedule_args(target, A_size, transform_A, transform_B, cache_A, cache_B, dtype) and returns: list