The AIE to HLS Kernel block reformats a signal driven by anAI Engine Kernel block or an AI Engine graph block, so that the resulting signal matches the data type
and complexity required by the input of an HLS kernel block. For example, if the
AI Engine kernel output port is of type
cint16 and the HLS kernel is of 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 which looks as follows.
Figure 2. Block Parameters: 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 is
1.