}];

  let description = [{
In signal processing, cross-correlation is a measure of similarity of
two waveforms as a function of a time-lag applied to one of them. This
is also known as a sliding dot product or sliding inner-product.

Our Conv3D implements a form of cross-correlation.
  }];

  let arguments = (ins
    Arg<TF_FloatTensor, [{Shape `[batch, in_depth, in_height, in_width, in_channels]`.}]>:$input,

        arbitrary.
    *   Added `tf.train.Checkpoint` for reading/writing object-based
        checkpoints.
    *   Added LinearOperatorKronecker, a dense-free implementation of the
        Kronecker Product.
    *   Allow LinearOperator to broadcast.
    *   SavedModelBuilder will now deduplicate asset names that point to files
        with the same basename and the same contents. Note that this may result