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Author SHA1 Message Date
alexmadison
96042d3bea fixed test 2023-11-21 14:49:07 +01:00
alexmadison
023da63c73 removed test because its a stupid component 2023-11-21 14:33:12 +01:00
4 changed files with 47 additions and 83 deletions

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@ -1,48 +0,0 @@
/*************************************************************************
*
* 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/primitives.act";
import globals;
open tmpl::dataflow_neuro;
defproc lepu (a1of1 in; bool! out){
line_end_pull_up lepu(.in=in, .out=out);
//Low active Reset
bool _reset_B;
prs {
Reset => _reset_B-
}
lepu.supply.vss = GND;
lepu.supply.vdd = Vdd;
lepu.reset_B = _reset_B;
}
lepu t;

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@ -1,15 +0,0 @@
watchall
set t.in.a 0
cycle
system "echo 'yo man'"
set Reset 0
cycle
set t.in.a 1
cycle
assert t.out 1

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@ -31,16 +31,43 @@ import globals;
open tmpl::dataflow_neuro;
defproc nrn_hs_2D_array_3x5(a1of1 in[15]; a1of1 outx[3], outy[5])
pint Nx = 3;
pint Ny = 5;
defproc nrn_hs_2d_array_3x5(a1of1 in[15]; a1of1 outx[3], outy[5])
{
bool _reset_B;
prs {
Reset => _reset_B-
}
nrn_hs_2D_array<3,5,5> b(.in = in, .outx = outx, .outy = outy);
b.supply.vdd = Vdd;
b.supply.vss = GND;
b.reset_B = _reset_B;
power supply;
supply.vdd = Vdd;
supply.vss = GND;
bool _reset_B;
prs {
Reset => _reset_B-
}
nrn_hs_2d_array<3,5> b(.in = in, .outx = outx, .outy = outy);
b.supply = supply;
b.reset_B = _reset_B;
nrn_line_end_pull_down pd_x[Nx], pd_y[Ny];
(i:Nx:
pd_x[i].in = b.to_pd_x[i].a;
pd_x[i].out = b.to_pd_x[i].r;
pd_x[i].supply = supply;
pd_x[i].reset_B = _reset_B;
)
(i:Ny:
pd_y[i].in = b.to_pd_y[i].a;
pd_y[i].out = b.to_pd_y[i].r;
pd_y[i].supply = supply;
pd_y[i].reset_B = _reset_B;
)
}
nrn_hs_2D_array_3x5 b;
nrn_hs_2d_array_3x5 b;

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@ -26,18 +26,18 @@ set b.outy[2].a 0
set b.outy[3].a 0
set b.outy[4].a 0
set b.outx[0].r 1
set b.outx[1].r 1
set b.outx[2].r 1
# set b.outx[0].r 1
# set b.outx[1].r 1
# set b.outx[2].r 1
set b.outy[0].r 1
set b.outy[1].r 1
set b.outy[2].r 1
set b.outy[3].r 1
set b.outy[4].r 0
# set b.outy[0].r 1
# set b.outy[1].r 1
# set b.outy[2].r 1
# set b.outy[3].r 1
# set b.outy[4].r 0
set b.b.neurons[0]._en 0
set b.b.neurons[0]._req 1
# set b.b.neurons[0]._en 0
# set b.b.neurons[0]._req 1
# set Reset 0
cycle