code: def reshape_and_sum(tensor: tf.Tensor) -> tf.Tensor:
      """Reshapes and sums along non-batch dims to get the shape [None, 1]."""
      reshaped_2d = tf.reshape(tensor, [tf.shape(tensor)[0], -1])
      return tf.reduce_sum(reshaped_2d, axis=-1, keepdims=True)
  
imports: from collections.abc import Callable, MutableSequence, Sequence
  from typing import Optional
  import numpy
  import tensorflow
  import tensorflow.compat.v2
  from tensorflow_privacy.privacy.fast_gradient_clipping import clip_grads
  from tensorflow_privacy.privacy.fast_gradient_clipping import layer_registry
  from tensorflow_privacy.privacy.fast_gradient_clipping import type_aliases
label_desc: Use image node_id 9 for calling a global function with example usage: reshape_and_sum(tensor) and returns: tf