|TensorFlow 2.0 version||View source on GitHub|
Layer that computes a dot product between samples in two tensors.
E.g. if applied to a list of two tensors
b of shape
(batch_size, n), the output will be a tensor of shape
where each entry
i will be the dot product between
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.
__init__( axes, normalize=False, **kwargs )