code: def serialize_keras_model(model):
      import keras
  
      if keras.__version__ < "1.2.0":
          raise ImportError(
              "Need Keras >= 1.2.0. Try python -m pip install keras --upgrade --no-deps"
          )
  
      header = model._updated_config()
      weights = model.get_weights()
      headers, frames = list(zip(*map(serialize, weights)))
      header["headers"] = headers
      header["nframes"] = [len(L) for L in frames]
      frames = [frame for L in frames for frame in L]
      return header, frames
  
imports: from __future__ import annotations
  import keras
  from distributed.protocol.serialize import dask_deserialize, dask_serialize, deserialize, serialize
label_desc: Use image node_id 1 for calling a global function with example usage: serialize_keras_model(model) and returns: header,  frames