code: def assemble(self, args, ins, v_cnt, s_cnt):
      kernel_desc = {
          ".amdhsa_group_segment_fixed_size": 0,
          ".amdhsa_private_segment_fixed_size": 0,
          ".amdhsa_kernarg_size": 0,
          ".amdhsa_next_free_vgpr": v_cnt,  # this matters!
          ".amdhsa_reserve_vcc": 0,
          ".amdhsa_reserve_xnack_mask": 0,
          ".amdhsa_next_free_sgpr": s_cnt,
          ".amdhsa_float_round_mode_32": 0,
          ".amdhsa_float_round_mode_16_64": 0,
          ".amdhsa_float_denorm_mode_32": 3,
          ".amdhsa_float_denorm_mode_16_64": 3,
          ".amdhsa_dx10_clamp": 1,
          ".amdhsa_ieee_mode": 1,
          ".amdhsa_fp16_overflow": 0,
          ".amdhsa_workgroup_processor_mode": 1,
          ".amdhsa_memory_ordered": 1,
          ".amdhsa_forward_progress": 0,
          ".amdhsa_enable_private_segment": 0,
          ".amdhsa_system_sgpr_workgroup_id_x": 1,
          ".amdhsa_system_sgpr_workgroup_id_y": 1,
          ".amdhsa_system_sgpr_workgroup_id_z": 1,
          ".amdhsa_system_sgpr_workgroup_info": 0,
          ".amdhsa_system_vgpr_workitem_id": 2,  # is amdhsa_system_vgpr_workitem_id real?
          ".amdhsa_exception_fp_ieee_invalid_op": 0,
          ".amdhsa_exception_fp_denorm_src": 0,
          ".amdhsa_exception_fp_ieee_div_zero": 0,
          ".amdhsa_exception_fp_ieee_overflow": 0,
          ".amdhsa_exception_fp_ieee_underflow": 0,
          ".amdhsa_exception_fp_ieee_inexact": 0,
          ".amdhsa_exception_int_div_zero": 0,
          ".amdhsa_user_sgpr_dispatch_ptr": 0,
          ".amdhsa_user_sgpr_queue_ptr": 0,
          ".amdhsa_user_sgpr_kernarg_segment_ptr": 1,
          ".amdhsa_user_sgpr_dispatch_id": 0,
          ".amdhsa_user_sgpr_private_segment_size": 0,
          ".amdhsa_wavefront_size32": 1,
          ".amdhsa_uses_dynamic_stack": 0,
      }
  
      metadata = {
          "amdhsa.kernels": [
              {
                  ".args": args,
                  ".group_segment_fixed_size": 0,
                  ".kernarg_segment_align": 8,
                  ".kernarg_segment_size": args[-1][".offset"]
                  + args[-1][".size"],
                  ".language": "OpenCL C",
                  ".language_version": [1, 2],
                  ".max_flat_workgroup_size": 256,
                  ".name": "code",
                  ".private_segment_fixed_size": 0,
                  ".sgpr_count": s_cnt,
                  ".sgpr_spill_count": 0,
                  ".symbol": "code.kd",
                  ".uses_dynamic_stack": False,
                  ".vgpr_count": v_cnt,
                  ".vgpr_spill_count": 0,
                  ".wavefront_size": 32,
              }
          ],
          "amdhsa.target": "amdgcn-amd-amdhsa--gfx1100",
          "amdhsa.version": [1, 2],
      }
  
      code = (
          boilerplate_start
          + "\n"
          + "\n".join("%s %d" % x for x in kernel_desc.items())
          + "\n"
          + code_start
          + "\n".join(ins)
          + "\n.amdgpu_metadata\n"
          + yaml.dump(metadata)
          + ".end_amdgpu_metadata"
      )
      obj = early_exec(
          (
              [
                  ROCM_LLVM_PATH / "llvm-mc",
                  "--arch=amdgcn",
                  "--mcpu=gfx1100",
                  "--triple=amdgcn-amd-amdhsa",
                  "--filetype=obj",
                  "-",
              ],
              code.encode("utf-8"),
          )
      )
      asm = early_exec(
          (
              [
                  ROCM_LLVM_PATH / "ld.lld",
                  "/dev/stdin",
                  "-o",
                  "/dev/stdout",
                  "--pie",
              ],
              obj,
          )
      )
      return asm
  
file_path: tinygrad/extra/assembly/assembly_rdna.py
imports: import yaml
  from typing import Tuple, Set, Dict
  from tinygrad import dtypes
  from tinygrad.codegen.assembly import AssemblyCodegen, Register
  from tinygrad.codegen.linearizer import UOps
  from tinygrad.ops import BinaryOps, UnaryOps, TernaryOps
  from tinygrad.runtime.ops_gpu import ROCM_LLVM_PATH
  from extra.helpers import enable_early_exec
label_desc: Use image node_id 2 for calling the RDNACodegen obj's underlying member method code with example usage: obj.assemble(args, ins, v_cnt, s_cnt) and returns: asm