reset working

This commit is contained in:
alexmadison 2022-04-04 19:32:30 +02:00
parent c31248ef34
commit ab52498755
5 changed files with 85478 additions and 51 deletions

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@ -27,52 +27,13 @@
*/ */
import "../../dataflow_neuro/cell_lib_async.act";
import "../../dataflow_neuro/cell_lib_std.act";
import "../../dataflow_neuro/treegates.act";
import "../../dataflow_neuro/primitives.act";
import "../../dataflow_neuro/coders.act";
// import tmpl::dataflow_neuro;
// import tmpl::dataflow_neuro;
import std::channel;
open std::channel;
/*************************************************************************
*
* This file is part of ACT dataflow neuro library
*
* Copyright (c) 2022 University of Groningen - Ole Richter
* Copyright (c) 2022 University of Groningen - Michele Mastella
* Copyright (c) 2022 University of Groningen - Hugh Greatorex
* 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/cell_lib_async.act"; import "../../dataflow_neuro/cell_lib_async.act";
import "../../dataflow_neuro/cell_lib_std.act"; import "../../dataflow_neuro/cell_lib_std.act";
import "../../dataflow_neuro/treegates.act"; import "../../dataflow_neuro/treegates.act";
import "../../dataflow_neuro/primitives.act"; import "../../dataflow_neuro/primitives.act";
import "../../dataflow_neuro/registers.act"; import "../../dataflow_neuro/registers.act";
import "../../dataflow_neuro/coders.act"; import "../../dataflow_neuro/coders.act";
import "../../dataflow_neuro/interfaces.act";
// import tmpl::dataflow_neuro; // import tmpl::dataflow_neuro;
// import tmpl::dataflow_neuro; // import tmpl::dataflow_neuro;
import std::channel; import std::channel;
@ -81,7 +42,7 @@ open std::channel;
namespace tmpl { namespace tmpl {
namespace dataflow_neuro { namespace dataflow_neuro {
export template<N_IN, // Size of input data from outside world export template<pint N_IN, // Size of input data from outside world
N_NRN_X, N_NRN_Y, N_SYN_X, N_SYN_Y, // Number of neurons / synapses N_NRN_X, N_NRN_Y, N_SYN_X, N_SYN_Y, // Number of neurons / synapses
NC_NRN_X, NC_NRN_Y, NC_SYN_X, NC_SYN_Y, NC_NRN_X, NC_NRN_Y, NC_SYN_X, NC_SYN_Y,
N_SYN_DLY_CFG, N_SYN_DLY_CFG,
@ -100,7 +61,8 @@ defproc chip_texel (bd<N_IN> in, out;
power supply; power supply;
bool? reset_B){ bool? reset_B){
bd2qdi<N_IN, N_BD_DLY_CFG> _bd2qdi(.in = in, .supply = supply); bd2qdi<N_IN, N_BD_DLY_CFG> _bd2qdi(.in = in, .dly_cfg = bd_dly_cfg,
.reset_B = reset_B, .supply = supply);
fifo<N_IN,N_BUFFERS> fifo_in2fork(.in = _bd2qdi.out, .reset_B = reset_B, .supply = supply); fifo<N_IN,N_BUFFERS> fifo_in2fork(.in = _bd2qdi.out, .reset_B = reset_B, .supply = supply);
fork<N_IN> _fork(.in = fifo_in2fork.out, .reset_B = reset_B, .supply = supply); fork<N_IN> _fork(.in = fifo_in2fork.out, .reset_B = reset_B, .supply = supply);
@ -112,7 +74,7 @@ defproc chip_texel (bd<N_IN> in, out;
// Onwards // Onwards
fifo<N_IN,N_BUFFERS> fifo_fork2dmx(.in = _fork.out2, .reset_B = reset_B, .supply = supply); fifo<N_IN,N_BUFFERS> fifo_fork2dmx(.in = _fork.out2, .reset_B = reset_B, .supply = supply);
demux_msb<N_IN-1> _demux(.in = fifo_fork2dmx.out, .reset_B = reset_B, .supply = supply); demux_bit_msb<N_IN-1> _demux(.in = fifo_fork2dmx.out, .reset_B = reset_B, .supply = supply);
// Register // Register
fifo<N_IN-1,N_BUFFERS> fifo_dmx2reg(.in = _demux.out2, .reset_B = reset_B, .supply = supply); fifo<N_IN-1,N_BUFFERS> fifo_dmx2reg(.in = _demux.out2, .reset_B = reset_B, .supply = supply);
@ -123,17 +85,18 @@ defproc chip_texel (bd<N_IN> in, out;
// TO ADD: nrn/syn mon decoders // TO ADD: nrn/syn mon decoders
// Decoder // Decoder
// slice_data<N_IN-1> pint NC_SYN;
fifo<N_IN-1,N_BUFFERS> fifo_dmx2dec(.in = _demux.out, .reset_B = reset_B, .supply = supply); NC_SYN = NC_SYN_X + NC_SYN_Y;
slice_data<N_IN-1, 0, NC_SYN> slice_pre_dec(.in = _demux.out1, .supply = supply);
fifo<NC_SYN,N_BUFFERS> fifo_dmx2dec(.in = slice_pre_dec.out, .reset_B = reset_B, .supply = supply);
decoder_2d_hybrid<NC_SYN_X, NC_SYN_Y, N_SYN_X, N_SYN_Y, N_SYN_DLY_CFG> decoder(.in = fifo_dmx2dec.in, decoder_2d_hybrid<NC_SYN_X, NC_SYN_Y, N_SYN_X, N_SYN_Y, N_SYN_DLY_CFG> decoder(.in = fifo_dmx2dec.in,
.out = synapses, .out = synapses,
.hs_en = register.data[0].d[0].f, // Defaults to handshake disable .hs_en = register.data[0].d[0].f, // Defaults to handshake disable
.supply = supply, .reset_B = reset_B); .supply = supply, .reset_B = reset_B);
(i:N_SYN_DLY_CFG: decoder.dly_cfg[i] = register.data[0].d[1 + i].t); // Defaults to max delay (i:N_SYN_DLY_CFG: decoder.dly_cfg[i] = register.data[0].d[1 + i].t;) // Defaults to max delay
// Neurons + encoder // Neurons + encoder
pbool NC_NRN; pint NC_NRN;
NC_NRN = NC_NRN_X + NC_NRN_Y; NC_NRN = NC_NRN_X + NC_NRN_Y;
nrn_hs_2D_array<N_NRN_X,N_NRN_Y,N_LINE_PD_DLY> nrn_grid(.in = neurons, nrn_hs_2D_array<N_NRN_X,N_NRN_Y,N_LINE_PD_DLY> nrn_grid(.in = neurons,
.supply = supply, .reset_B = reset_B); .supply = supply, .reset_B = reset_B);
@ -141,15 +104,25 @@ defproc chip_texel (bd<N_IN> in, out;
.inx = nrn_grid.outx, .inx = nrn_grid.outx,
.iny = nrn_grid.outy, .iny = nrn_grid.outy,
.reset_B = reset_B, .supply = supply .reset_B = reset_B, .supply = supply
) );
fifo<NC_NRN, N_BUFFERS> fifo_enc2mrg(.in = encoder.out, fifo<NC_NRN, N_BUFFERS> fifo_enc2mrg(.in = encoder.out,
.reset_B = reset_B, .supply = supply); .reset_B = reset_B, .supply = supply);
append<NC_NRN, N_IN-NC_NRN,0> append_enc(.in = fifo_enc2mrg.in, )
// Merge // Merge
append<NC_NRN, N_IN-NC_NRN, 0> append_enc(.in = fifo_enc2mrg.out, .supply = supply);
append<N_IN-2, 2, 0> append_reg(.in = fifo_reg2mrg.out, .supply = supply);
merge<N_IN> merge_enc8reg(.in1 = append_enc.out, .in2 = append_reg.out,
.supply = supply, .reset_B = reset_B);
merge<> merge_enc8reg merge<N_IN> merge_loop8mrg(.in1 = merge_enc8reg.out, .in2 = _loopback_dropper.out,
.reset_B = reset_B, .supply = supply);
// qdi2bd
fifo<N_IN, N_BUFFERS> fifo_mrg2bd(.in = merge_loop8mrg.out,
.reset_B = reset_B, .supply = supply);
qdi2bd<N_IN, N_BD_DLY_CFG> _qdi2b(.in = fifo_mrg2bd.out, .out = out, .dly_cfg = bd_dly_cfg,
.reset_B = reset_B, .supply = supply);
} }
} }

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@ -0,0 +1,102 @@
/*************************************************************************
*
* 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/chips.act";
import globals;
import std::data;
open std::data;
open tmpl::dataflow_neuro;
defproc chip_texel_test (bd<14> in; bd<14> out; Mx1of2<8> reg_data[16];
bool? bd_dly_cfg[4], loopback_en){
bool _reset_B;
prs {
Reset => _reset_B-
}
power supply;
supply.vdd = Vdd;
supply.vss = GND;
pint N_IN = 14;
pint N_NRN_X = 2;
pint N_NRN_Y = 4;
// pint NC_NRN_X = std:ceil_log2(N_NRN_X);
// pint NC_NRN_Y = std:ceil_log2(N_NRN_Y);
pint NC_NRN_X = 1;
pint NC_NRN_Y = 2;
pint N_SYN_X = 2;
pint N_SYN_Y = 4;
// pint NC_SYN_X = std:ceil_log2(N_SYN_X);
// pint NC_SYN_Y = std:ceil_log2(N_SYN_Y);
pint NC_SYN_X = 1;
pint NC_SYN_Y = 2;
pint N_SYN_DLY_CFG = 4;
pint N_BD_DLY_CFG = 4;
pint N_NRN_MON_X = 2;
pint N_NRN_MON_Y = 4;
pint N_SYN_MON_X = 2;
pint N_SYN_MON_Y = 4;
pint N_BUFFERS = 3;
pint N_LINE_PD_DLY = 3;
pint REG_NCA = 4;
pint REG_M = 1<<REG_NCA;
pint REG_NCW = 8;
chip_texel<N_IN,
N_NRN_X, N_NRN_Y, N_SYN_X, N_SYN_Y,
NC_NRN_X, NC_NRN_Y, NC_SYN_X, NC_SYN_Y,
N_SYN_DLY_CFG,
N_NRN_MON_X, N_NRN_MON_Y, N_SYN_MON_X, N_SYN_MON_Y,
N_BUFFERS,
N_LINE_PD_DLY,
N_BD_DLY_CFG,
REG_NCA, REG_NCW, REG_M> c(.in = in, .out = out, .reg_data = reg_data,
.bd_dly_cfg = bd_dly_cfg, .loopback_en = loopback_en,
.reset_B = _reset_B, .supply = supply);
c.synapses = c.neurons; // Connect each synapse hs to a neuron hs
}
// fifo_decoder_neurons_encoder_fifo e;
chip_texel_test c;

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@ -0,0 +1,22 @@
watchall
# set-bool-array "c.bd_dly_cfg" 4 15
set c.bd_dly_cfg[0] 1
set c.bd_dly_cfg[1] 1
set c.bd_dly_cfg[2] 1
set c.bd_dly_cfg[3] 1
set-bd-channel-neutral "c.in" 14
set-bd-channel-neutral "c.out" 14
set c.loopback_en 1
set Reset 1
cycle
mode run
system "echo '[] Set reset 0'"
status X
set Reset 0
cycle