}];

  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,

fter{display:block;clear:both;content:""}.products-list .product-img{float:left}.products-list .product-img img{height:50px;width:50px}.products-list .product-info{margin-left:60px}.products-list .product-title{font-weight:600}.products-list .product-description{color:#6c757d;display:block;overflow:hidden;text-overflow:ellipsis;white-space:nowrap}.product-list-in-card>.item{border-radius:0;border-bottom:1px solid rgba(0,0,0,.125)}.product-list-in-card>.item:last-of-type{border-bottom-width:0}.direct-chat...

        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