code: def launch_exhaustive_populate(
      dst_dtype,
      offset,
      numel,
      force_odd,
      output_bits,
      max_repr,
      BLOCK_SIZE=4096,
  ):
      assert numel % BLOCK_SIZE == 0
      dst = torch.empty(
          (numel,), dtype=matching_int(dst_dtype), device="cuda"
      )
      exhaustive_populate[(numel // BLOCK_SIZE,)](
          triton.reinterpret(dst, dst_dtype),
          offset,
          BLOCK_SIZE,
          force_odd,
          output_bits,
          max_repr,
      )
      return dst
  
file_path: triton/python/test/unit/language/test_conversions.py
imports: import numpy
  import torch
  import pytest
  import triton
  import triton.language
label_desc: Use image node_id 5 for calling a global function with example usage: launch_exhaustive_populate(dst_dtype, offset, numel, force_odd, output_bits, max_repr, BLOCK_SIZE) and returns: dst