code: def launch_downcast_emulated(
      src,
      src_dtype,
      dst_dtype,
      rounding,
      exponent_bits,
      mantissa_bits,
      exponent_bias,
      BLOCK_SIZE=4096,
  ):
      dst = torch.empty(
          src.shape, dtype=matching_int(dst_dtype), device="cuda"
      )
      downcast_emulated[(src.shape[0] // BLOCK_SIZE,)](
          triton.reinterpret(src, src_dtype),
          triton.reinterpret(dst, dst_dtype),
          rounding,
          BLOCK_SIZE,
          exponent_bits,
          mantissa_bits,
          exponent_bias,
      )
      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 8 for calling a global function with example usage: launch_downcast_emulated(src, src_dtype, dst_dtype, rounding, exponent_bits, mantissa_bits, exponent_bias, BLOCK_SIZE) and returns: dst