actlib_dataflow_neuro/test/unit_tests/fifo-decoder-neurons-encoder-fifo/test.act

/*************************************************************************
 *
 *  This file is part of ACT dataflow neuro library.
 * It's the testing facility for cell_lib_std.act
 *
 *  Copyright (c) 2022 University of Groningen - Ole Richter  
 *  Copyright (c) 2022 University of Groningen - Hugh Greatorex
 *  Copyright (c) 2022 University of Groningen - Michele Mastella
 *  Copyright (c) 2022 University of Groningen - Madison Cotteret
 *
 *  This source describes Open Hardware and is licensed under the CERN-OHL-W v2 or later
 *
 *  You may redistribute and modify this documentation and make products
 *  using it under the terms of the CERN-OHL-W v2 (https:/cern.ch/cern-ohl).
 *  This documentation is distributed WITHOUT ANY EXPRESS OR IMPLIED
 *  WARRANTY, INCLUDING OF MERCHANTABILITY, SATISFACTORY QUALITY
 *  AND FITNESS FOR A PARTICULAR PURPOSE. Please see the CERN-OHL-W v2
 *  for applicable conditions.
 *
 *  Source location: https://git.web.rug.nl/bics/actlib_dataflow_neuro
 *
 *  As per CERN-OHL-W v2 section 4.1, should You produce hardware based on
 *  these sources, You must maintain the Source Location visible in its
 *  documentation.
 *
 **************************************************************************
 */

import "../../dataflow_neuro/coders.act";
import "../../dataflow_neuro/primitives.act";

import globals;
import std::data;

open std::data;

open tmpl::dataflow_neuro;

defproc fifo_decoder_neurons_encoder_fifo (avMx1of2<7> in; avMx1of2<7> out; bool? dly_cfg[6]){
    bool _reset_B; 
    prs {
        Reset => _reset_B-
    }
    power supply;
    supply.vdd = Vdd;
    supply.vss = GND;

    pint NxC,NyC,Nx,Ny;
    NxC = 4;
    NyC = 3;
    Nx = 1<<NxC;
    Ny = 1<<NyC;

    fifo<NxC + NyC,5> fifo_pre(.in = in, .reset_B = _reset_B, .supply = supply);
    decoder_2d_dly<NxC,NyC,Nx,Ny,6> decoder(.in = fifo_pre.out, .dly_cfg = dly_cfg, 
        .reset_B = _reset_B, .supply = supply);
    and_grid<Nx, Ny> _and_grid(.inx = decoder.outx, .iny = decoder.outy, .supply = supply);
    // Pretend that each "synapse" immediately makes its one neuron "spike".
    // that is, connect the output of each encoder target to the decoder input.
    nrn_hs_2D_array<Nx,Ny,10> neuron_grid(.reset_B = _reset_B, .supply = supply);
    (i:Nx*Ny:
        // Connect the output bool to the input req of each neuron handshaker
        // Leave ack dangling.
        neuron_grid.in[i].r = _and_grid.out[i];
    )

    encoder2D<NxC,NyC,Nx,Ny,4> encoder(.inx = neuron_grid.outx, .iny = neuron_grid.outy,
        .reset_B = _reset_B, .supply = supply);
    fifo<NxC + NyC,5> fifo_post(.in = encoder.out, .out = out, .reset_B = _reset_B, .supply = supply);

}



// defproc fifo_decoder_and (avMx1of2<7> in; bool! out[8*16]; bool? dly_cfg[6]){
//     bool _reset_B; 
//     prs {
//         Reset => _reset_B-
//     }
//     power supply;
//     supply.vdd = Vdd;
//     supply.vss = GND;

//     pint NxC,NyC,Nx,Ny;
//     NxC = 4;
//     NyC = 3;
//     Nx = 1<<NxC;
//     Ny = 1<<NyC;

//     fifo<NxC + NyC,5> fifo_pre(.in = in, .reset_B = _reset_B, .supply = supply);
//     decoder_2d_dly<NxC,NyC,Nx,Ny,6> decoder(.in = fifo_pre.out, .dly_cfg = dly_cfg, 
//         .reset_B = _reset_B, .supply = supply);
//     and_grid<Nx, Ny> _and_grid(.inx = decoder.outx, .iny = decoder.outy, .out = out, .supply = supply);
//     nrn_hs_2D_array<Nx,Ny,16> nrn_array(.reset_B = _reset_B, .supply = supply);
// }

// fifo_decoder_neurons_encoder_fifo e;
fifo_decoder_neurons_encoder_fifo e;