72 lines
2.5 KiB
Plaintext
72 lines
2.5 KiB
Plaintext
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/*************************************************************************
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*
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* This file is part of ACT dataflow neuro library.
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* It's the testing facility for cell_lib_std.act
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*
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* Copyright (c) 2022 University of Groningen - Ole Richter
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* Copyright (c) 2022 University of Groningen - Hugh Greatorex
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* Copyright (c) 2022 University of Groningen - Michele Mastella
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* Copyright (c) 2022 University of Groningen - Madison Cotteret
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*
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* This source describes Open Hardware and is licensed under the CERN-OHL-W v2 or later
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*
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* You may redistribute and modify this documentation and make products
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* using it under the terms of the CERN-OHL-W v2 (https:/cern.ch/cern-ohl).
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* This documentation is distributed WITHOUT ANY EXPRESS OR IMPLIED
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* WARRANTY, INCLUDING OF MERCHANTABILITY, SATISFACTORY QUALITY
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* AND FITNESS FOR A PARTICULAR PURPOSE. Please see the CERN-OHL-W v2
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* for applicable conditions.
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*
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* Source location: https://git.web.rug.nl/bics/actlib_dataflow_neuro
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*
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* As per CERN-OHL-W v2 section 4.1, should You produce hardware based on
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* these sources, You must maintain the Source Location visible in its
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* documentation.
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*
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**************************************************************************
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*/
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import "../../dataflow_neuro/coders.act";
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import "../../dataflow_neuro/primitives.act";
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import globals;
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import std::data;
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open std::data;
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open tmpl::dataflow_neuro;
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defproc fifo_decoder_neurons_encoder_fifo (avMx1of2<7> in; avMx1of2<7> out){
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bool _reset_B;
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prs {
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Reset => _reset_B-
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}
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power supply;
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supply.vdd = Vdd;
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supply.vss = GND;
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pint NxC,NyC,Nx,Ny;
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NxC = 4;
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NyC = 3;
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Nx = 1<<NxC;
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Ny = 1<<NyC;
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fifo<NxC + NyC,5> fifo_pre(.in = in, .reset_B = _reset_B, .supply = supply);
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decoder_2d_hs<NxC,NyC,Nx,Ny> decoder(.in = fifo_pre.out, .reset_B = _reset_B, .supply = supply);
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// Pretend that each "synapse" immediately makes its one neuron "spike".
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// that is, connect the output of each encoder target to the decoder input.
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nrn_hs_2D_array<Nx,Ny,10> neuron_grid(.reset_B = _reset_B, .supply = supply);
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(i:Nx*Ny:
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neuron_grid.in[i].r = decoder.out[i].r;
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neuron_grid.in[i].a = decoder.out[i].a;
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)
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encoder2D<NxC,NyC,Nx,Ny,4> encoder(.inx = neuron_grid.outx, .iny = neuron_grid.outy,
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.reset_B = _reset_B, .supply = supply);
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fifo<NxC + NyC,5> fifo_post(.in = encoder.out, .out = out, .reset_B = _reset_B, .supply = supply);
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}
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// fifo_decoder_neurons_encoder_fifo e;
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fifo_decoder_neurons_encoder_fifo e;
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