code: def main(argv):
      max_depth = 2
      if len(argv) > 1:
          if (
              len(argv) == 2
              and argv[1].isdigit()
              and int(argv[1]) >= 1
              and int(argv[1]) <= 8
          ):
              max_depth = int(argv[1])
          else:
              print(
                  "Usage: %s <max_depth>\t(where max_depth is a value between 1 and 8)."
                  % argv[0]
              )
              sys.exit(0)
  
      print("starting Simple Print (CUDA Dynamic Parallelism)")
  
      mod = DynamicSourceModule(cdpSimplePrint_cu)
      cdp_kernel = (
          mod.get_function("cdp_kernel").prepare("iiii").prepared_call
      )
  
      print(
          "***************************************************************************"
      )
      print(
          "The CPU launches 2 blocks of 2 threads each. On the device each thread will"
      )
      print(
          "launch 2 blocks of 2 threads each. The GPU we will do that recursively"
      )
      print("until it reaches max_depth=%d\n" % max_depth)
      print("In total 2")
      num_blocks, sum = 2, 2
      for i in range(1, max_depth):
          num_blocks *= 4
          print("+%d" % num_blocks)
          sum += num_blocks
      print(
          "=%d blocks are launched!!! (%d from the GPU)"
          % (sum, sum - 2)
      )
      print(
          "***************************************************************************\n"
      )
  
      pycuda.autoinit.context.set_limit(
          cuda.limit.PRINTF_FIFO_SIZE, 11 << 20
      )  # make this work at depth=8
      pycuda.autoinit.context.set_limit(
          cuda.limit.DEV_RUNTIME_SYNC_DEPTH, max_depth
      )
  
      print("Launching cdp_kernel() with CUDA Dynamic Parallelism:\n")
      cdp_kernel((2, 1), (2, 1, 1), max_depth, 0, 0, -1)
  
imports: import sys, os
  import pycuda.autoinit
  import pycuda.driver
  from pycuda.compiler import DynamicSourceModule
label_desc: Use image node_id 1 for calling a global function with example usage: main(argv) without return types