actlib_dataflow_neuro/test/unit_tests/decoder_2d_hybrid/test.act

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/*************************************************************************
*
* 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 "../../dataflow_neuro/cell_lib_async.act";
import "../../dataflow_neuro/cell_lib_std.act";
import globals;
import std::data;
open std::data;
open tmpl::dataflow_neuro;
defproc decoder_2d_hybrid_2x4 (avMx1of2<3> in; a1of1 out[8]; bool? dly_cfg[4], hs_en){
bool _reset_B;
prs {
Reset => _reset_B-
}
power supply;
supply.vdd = Vdd;
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,
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.reset_B = _reset_B, .supply = supply);
// model the synapse as having automatic pulldown of ack.
INV_X1 synapses[8];
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AND2_X1 req_and2s[8];
pint index;
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PULLDOWN_X4 synapses2[8];
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(i:4:
(j:2:
index = i + 4*j;
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req_and2s[index].a = decoder.out_req_x[index];
req_and2s[index].b = decoder.out_req_y[index];
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// synapses[index].a = decoder.out[index].r;
synapses[index].a = req_and2s[index].y;
synapses2[index].a = synapses[index].y;
synapses2[index].y = decoder.out[index].a;
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synapses[index].vss = supply.vss;
synapses[index].vdd = supply.vdd;
synapses2[index].vss = supply.vss;
synapses2[index].vdd = supply.vdd;
req_and2s[index].vss = supply.vss;
req_and2s[index].vdd = supply.vdd;
)
)
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}
// fifo_decoder_neurons_encoder_fifo e;
decoder_2d_hybrid_2x4 e;