code: def set_float32_precision(precision: str = "high") -> None:
      """Sets the precision of float32 matrix multiplications and convolution operations.
  
      For more information, see the PyTorch docs:
      - https://pytorch.org/docs/stable/generated/torch.set_float32_matmul_precision.html
      - https://pytorch.org/docs/stable/backends.html#torch.backends.cudnn.allow_tf32
  
      Args:
          precision: The setting to determine which datatypes to use for matrix multiplication and convolution operations.
      """
      if not (
          torch.cuda.is_available()  # Not relevant for non-CUDA devices
          and is_torch_version_geq_1_12()  # API exposed from PyTorch 1.12 onward
      ):
          return
      # set precision for matrix multiplications
      torch.set_float32_matmul_precision(precision)
      # set precision for convolution operations
      if precision == "highest":
          torch.backends.cudnn.allow_tf32 = False
      else:
          torch.backends.cudnn.allow_tf32 = True
  
imports: import logging
  import os
  import shutil
  import subprocess
  from collections import defaultdict
  from dataclasses import fields, is_dataclass
  from typing import Any, Dict, Mapping, TypeVar
  import torch
  from torchtnt.utils.version import is_torch_version_geq_1_12
  from typing_extensions import Protocol, runtime_checkable, TypedDict
label_desc: Use image node_id 8 for calling a global function with example usage: set_float32_precision(precision) without return types