class_docstr: class holds all the feature info about the TPU.
docstr: Number of embedding accelerator devices per chip.
  
  Returns:
    Number of embedding devices per chip.
code: def num_embedding_devices_per_chip(self):
      """Number of embedding accelerator devices per chip.
  
      Returns:
        Number of embedding devices per chip.
      """
      return (
          self.tpu_hardware_feature_proto.num_embedding_devices_per_chip
      )
  
file_path: tensorflow-upstream/tensorflow/python/tpu/tpu_hardware_feature.py
imports: import enum
  from tensorflow.core.protobuf.tpu import topology_pb2
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 4 for calling the HardwareFeature obj's underlying member method code with example usage: obj.num_embedding_devices_per_chip() and returns: self