code: def flatten_batch_dict(d, name="flatten_batch_dict"):
      """Flatten a batch of observations represented as a dict.
  
      Args:
          d (dict[tf.Tensor]): A dict of Tensors to flatten.
          name (string): The name of the operation (None by default).
  
      Returns:
          dict[tf.Tensor]: A dict with flattened tensors.
      """
      with tf.name_scope(name):
          return {k: flatten_batch(v) for k, v in d.items()}
  
imports: import collections
  import numpy
  import tensorflow
label_desc: Use image node_id 4 for calling a global function with example usage: flatten_batch_dict(d, name) and returns: unknown