Hi, I have a modified dbpsk.py in which I use a custom block after the self.diffenc (differential encoder block). This custom C++ block outputs 1000 output_items of size 'gr_sizeof_char' for each input_item of size 'gr_sizeof_char'. I then use benchmark_tx.py to test the functioning of the modified dbpsk.py and upon doing so the flowgraph slows down incredibly. What can I do to speed up the process?
DiffEnc --> Custom Block --> Chunks2Symbols ( n ouputs) --> (n * 1000 outputs) --> (n *1000 outputs) Thanks
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