The AIE to HLS Kernel block reformats a signal driven by an AI Engine Kernel block or an AI Engine kernel output port is of type
cint16
and the HLS kernel is of type graph block, so that the resulting
signal matches the data type ap_axis<64>
, you would use an AIE to
HLS kernel block with parameter output type set to ap_axis<64>
. This block reads cint16
samples from its input and then packs pairs of subsequent cint16
samples into ap_axis<64>
samples to its output.Figure 1. AIE to HLS Kernel Block
Double-click the block symbol to see the parameters of the AIE to HLS Kernel block. For more information refer to AIE to HLS.
- Output Type
- Possible values are: ap_axis<32>, ap_axis<64>, ap_axis<128>, ap_axiu<32>, ap_axiu<64>, ap_axiu<128>, ap_int<32>, ap_int<64>, ap_uint<32>, ap_uint<64>,int, long long, unsigned, unsigned long long.
- Output Size
- The size of the output port. The output port is a variable sized signal
whose maximum size is specified by the
OutputSize
parameter. Default Output Size is1
.