code: def generate_sm50_simt(
      out_dtype,
      arg0_dtype,
      arg1_dtype,
      op_creator,
      accumulator_dtype="float32",
  ):
      """Gemerate GEMM or Conv2D SIMT kernels"""
      # pylint: disable=unused-argument
      min_cc = 50
      max_cc = 1024
      if arg0_dtype == "float32" and arg1_dtype == "float32":
          assert (
              out_dtype == "float32" and accumulator_dtype == "float32"
          )
          math_instructions = [
              MathInstruction(
                  [1, 1, 1],
                  DataType.f32,
                  DataType.f32,
                  DataType.f32,
                  OpcodeClass.Simt,
                  MathOperation.multiply_add,
              )
          ]
          alignment_constraints = [1]
          tile_descriptions = [
              ([128, 128, 8], 2, [4, 2, 1], min_cc, max_cc),
              ([128, 64, 8], 2, [2, 2, 1], min_cc, max_cc),
              ([64, 128, 8], 2, [2, 2, 1], min_cc, max_cc),
              ([64, 64, 8], 2, [2, 1, 1], min_cc, max_cc),
              ([128, 32, 8], 2, [2, 1, 1], min_cc, max_cc),
              ([32, 128, 8], 2, [1, 2, 1], min_cc, max_cc),
          ]
  
          def get_tile_descriptions(math_inst):
              return [
                  TileDescription(
                      threadblock_shape,
                      stages,
                      warp_count,
                      math_inst,
                      min_cc,
                      max_cc,
                  )
                  for threadblock_shape, stages, warp_count, min_cc, max_cc in tile_descriptions
              ]
  
          return generate_tensor_op_common(
              math_instructions,
              alignment_constraints,
              get_tile_descriptions,
              op_creator,
          )
      else:
          raise NotImplementedError()
  
imports: import logging
  import os
  import re
  import tempfile
  import subprocess
  import multiprocessing
  import tvm._ffi
  from tvm.tir import IntImm
  from tvm.runtime import Object
  from .None import _ffi_api
  from .library import MathInstruction, DataType, DataTypeTag, OpcodeClass, MathOperation, TileDescription, EpilogueFunctor
  from .gemm_operation import instantiate_gemm_template
  from .conv2d_operation import instantiate_conv2d_template
label_desc: Use image node_id 2 for calling a global function with example usage: generate_sm50_simt(out_dtype, arg0_dtype, arg1_dtype, op_creator, accumulator_dtype) and returns: generate_tensor_op_common, unknown