code: def dot(inputs, axes=-1, **kwargs):
      """Functional interface to the `Dot` layer.
  
      Args:
          inputs: A list of input tensors (at least 2).
          axes: Integer or tuple of integers,
              axis or axes along which to take the dot product.
          normalize: Whether to L2-normalize samples along the
              dot product axis before taking the dot product.
              If set to True, then the output of the dot product
              is the cosine proximity between the two samples.
          **kwargs: Standard layer keyword arguments.
  
      Returns:
          A tensor, the dot product of the samples from the inputs.
      """
      return Dot(axes=axes, **kwargs)(inputs)
  
file_path: keras/keras/layers/merging/dot.py
imports: from keras import ops
  from keras.api_export import keras_export
  from keras.layers.merging.base_merge import Merge
  from keras.utils.numerical_utils import normalize
label_desc: Use image node_id 2 for calling a global function with example usage: dot(inputs, axes) and returns: Dot