104 lines
3.3 KiB
Plaintext
104 lines
3.3 KiB
Plaintext
/*************************************************************************
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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 "../../dataflow_neuro/cell_lib_async.act";
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import "../../dataflow_neuro/cell_lib_std.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 decoder_2d_hybrid_2x4 (avMx1of2<3> in; a1of1 out[8]; bool? dly_cfg[4], hs_en, ack_disable){
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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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decoder_2d_hybrid<1,2,2,4,4> decoder(.in = in, .dly_cfg = dly_cfg, .hs_en = hs_en, .ack_disable = ack_disable,
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.reset_B = _reset_B, .supply = supply);
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// Dummy synapses to perform the handshaking.
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// They consist of a grid of ANDs and pulldowns, and have the "synapses" exposed,\
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// which would be the pulse extenders (which we thus short here)
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decoder_2d_synapse_hs<2,4> syn_hs(.in_req_x = decoder.out_req_x, .in_req_y = decoder.out_req_y,
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.out_ackB_decoder = decoder.in_ackB_decoder,
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.to_pu = decoder.to_pu,
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.synapses = out,
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.supply = supply);
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// (i:8: syn_hs.synapses[i].a = syn_hs.synapses[i].r;)
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// // model the synapse as having automatic pulldown of ack.
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// INV_X1 synapses[8];
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// AND2_X1 req_and2s[8];
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// pint index;
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// PULLDOWN_X4 synapses2[8];
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// (i:4:
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// (j:2:
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// index = i + 4*j;
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// req_and2s[index].a = decoder.out_req_x[index];
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// req_and2s[index].b = decoder.out_req_y[index];
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// // synapses[index].a = decoder.out[index].r;
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// synapses[index].a = req_and2s[index].y;
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// synapses2[index].a = synapses[index].y;
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// synapses2[index].y = decoder.out[index].a;
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// synapses[index].vss = supply.vss;
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// synapses[index].vdd = supply.vdd;
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// synapses2[index].vss = supply.vss;
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// synapses2[index].vdd = supply.vdd;
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// req_and2s[index].vss = supply.vss;
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// req_and2s[index].vdd = supply.vdd;
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// )
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// )
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}
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// fifo_decoder_neurons_encoder_fifo e;
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decoder_2d_hybrid_2x4 e; |