code: def bfloat16_to_float32(
      data: Union[np.int16, np.int32, np.ndarray],
      dims: Optional[Union[int, Sequence[int]]] = None,
  ) -> np.ndarray:
      """Converts ndarray of bf16 (as uint32) to f32 (as uint32).
  
      Args:
          data: A numpy array, empty dimensions are allowed if dims is
              None.
          dims: If specified, the function reshapes the results.
  
      Returns:
          A numpy array of float32 with the same dimension if dims is
          None, or reshaped to dims if specified
      """
      shift = lambda x: x << 16  # noqa: E731
      if dims is None:
          if len(data.shape) == 0:
              return shift(np.array([data]).astype(np.int32)).view(np.float32)[0]  # type: ignore[no-any-return]
          return shift(data.astype(np.int32)).view(np.float32)  # type: ignore[no-any-return]
      return shift(data.astype(np.int32)).reshape(dims).view(np.float32)
  
imports: import sys
  from typing import Any, Dict, List, Optional, Sequence, Tuple, Union
  import numpy
  from onnx import MapProto, OptionalProto, SequenceProto, TensorProto, helper, subbyte
  from onnx.external_data_helper import load_external_data_for_tensor, uses_external_data
label_desc: Use image node_id 2 for calling a global function with example usage: bfloat16_to_float32(data, dims) and returns: shift, shift, shift