styling information is preserved. This means you can manipulate a AnnotatedString —taking substrings, padding them, concatenating them with other strings— and the metadata annotations will "come along for the digital filtering algorithm and you have a method that handles the edges of the signal by applying padding: function myfilter(A, kernel, ::Replicate) Apadded = replicate_edges(A, size(kernel)) myfilter(Apadded # now perform the "real" computation end This will run afoul of a method that supplies default padding: myfilter(A, kernel) = myfilter(A, kernel, Replicate()) # replicate the edge by default Together

styling information is preserved. This means you can manipulate a AnnotatedString —taking substrings, padding them, concatenating them with other strings— and the metadata annotations will "come along for the digital filtering algorithm and you have a method that handles the edges of the signal by applying padding: function myfilter(A, kernel, ::Replicate) Apadded = replicate_edges(A, size(kernel)) myfilter(Apadded # now perform the "real" computation end This will run afoul of a method that supplies default padding: myfilter(A, kernel) = myfilter(A, kernel, Replicate()) # replicate the edge by default Together

styling information is preserved. This means you can manipulate a AnnotatedString —taking substrings, padding them, concatenating them with other strings— and the metadata annotations will "come along for the digital filtering algorithm and you have a method that handles the edges of the signal by applying padding: function myfilter(A, kernel, ::Replicate) Apadded = replicate_edges(A, size(kernel)) myfilter(Apadded # now perform the "real" computation end This will run afoul of a method that supplies default padding: myfilter(A, kernel) = myfilter(A, kernel, Replicate()) # replicate the edge by default Together

styling information is preserved. This means you can manipulate a AnnotatedString —taking substrings, padding them, concatenating them with other strings— and the metadata annotations will "come along for the digital filtering algorithm and you have a method that handles the edges of the signal by applying padding: function myfilter(A, kernel, ::Replicate) Apadded = replicate_edges(A, size(kernel)) myfilter(Apadded # now perform the "real" computation end This will run afoul of a method that supplies default padding: myfilter(A, kernel) = myfilter(A, kernel, Replicate()) # replicate the edge by default Together

styling information is preserved. This means you can manipulate a AnnotatedString —taking substrings, padding them, concatenating them with other strings— and the metadata annotations will "come along for the digital filtering algorithm and you have a method that handles the edges of the signal by applying padding: function myfilter(A, kernel, ::Replicate) Apadded = replicate_edges(A, size(kernel)) myfilter(Apadded # now perform the "real" computation end This will run afoul of a method that supplies default padding: myfilter(A, kernel) = myfilter(A, kernel, Replicate()) # replicate the edge by default Together

styling information is preserved. This means you can manipulate a AnnotatedString —taking substrings, padding them, concatenating them with other strings— and the metadata annotations will "come along for the digital filtering algorithm and you have a method that handles the edges of the signal by applying padding: function myfilter(A, kernel, ::Replicate) Apadded = replicate_edges(A, size(kernel)) myfilter(Apadded # now perform the "real" computation end This will run afoul of a method that supplies default padding: myfilter(A, kernel) = myfilter(A, kernel, Replicate()) # replicate the edge by default Together

styling information is preserved. This means you can manipulate a AnnotatedString —taking substrings, padding them, concatenating them with other strings— and the metadata annotations will "come along for the digital filtering algorithm and you have a method that handles the edges of the signal by applying padding: function myfilter(A, kernel, ::Replicate) Apadded = replicate_edges(A, size(kernel)) myfilter(Apadded # now perform the "real" computation end This will run afoul of a method that supplies default padding: myfilter(A, kernel) = myfilter(A, kernel, Replicate()) # replicate the edge by default Together

styling information is preserved. This means you can manipulate a AnnotatedString —taking substrings, padding them, concatenating them with other strings— and the metadata annotations will "come along for the digital filtering algorithm and you have a method that handles the edges of the signal by applying padding: function myfilter(A, kernel, ::Replicate) Apadded = replicate_edges(A, size(kernel)) myfilter(Apadded # now perform the "real" computation end This will run afoul of a method that supplies default padding: myfilter(A, kernel) = myfilter(A, kernel, Replicate()) # replicate the edge by default Together

@autotvm.register top compute(conv2d，pvr, [direct]) def conv2d_pvr(cfg, data, kernel, strides, padding, dilation, layout, out_dtype): #Describe algorithm with tensor expression language'; #Return the

digital filtering algorithm and you have a method that handles the edges of the signal by applying padding: function myfilter(A, kernel, ::Replicate) Apadded = replicate_edges(A, size(kernel)) myfilter(Apadded # now perform the "real" computation end This will run afoul of a method that supplies default padding: myfilter(A, kernel) = myfilter(A, kernel, Replicate()) # replicate the edge by default Together better design would be to define your call hierarchy like this: struct NoPad end # indicate that no padding is desired, or that it's already applied myfilter(A, kernel) = myfilter(A, kernel, Replicate())