/************************************************************************* * * 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 "../../dataflow_neuro/coders.act"; import globals; open tmpl::dataflow_neuro; defproc arbiter_treee (a1of1 in[5]; a1of1 out) { //Low active Reset bool _reset_B; prs { Reset => _reset_B- } power _supply; _supply.vdd = Vdd; _supply.vss = GND; arbtree<5> at_cell(.in=in, .out = out); at_cell.supply = _supply; } arbiter_treee my_tree;