actlib_dataflow_neuro/test/unit_tests/fifo-decoder_hs-neurons-enc.../test.act

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2022-03-31 16:20:23 +02:00
/*************************************************************************
*
* 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 _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_hs<NxC,NyC,Nx,Ny> decoder(.in = fifo_pre.out, .reset_B = _reset_B, .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:
neuron_grid.in[i].r = decoder.out[i].r;
neuron_grid.in[i].a = decoder.out[i].a;
)
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);
}
// fifo_decoder_neurons_encoder_fifo e;
fifo_decoder_neurons_encoder_fifo e;