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qaztronic |
//////////////////////////////////////////////////////////////////////
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//// ////
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//// Copyright (C) 2019 Authors and OPENCORES.ORG ////
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//// ////
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//// This source file may be used and distributed without ////
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//// restriction provided that this copyright statement is not ////
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//// removed from the file and that any derivative work contains ////
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//// the original copyright notice and the associated disclaimer. ////
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//// ////
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//// This source file is free software; you can redistribute it ////
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//// and/or modify it under the terms of the GNU Lesser General ////
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//// Public License as published by the Free Software Foundation; ////
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//// either version 2.1 of the License, or (at your option) any ////
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//// later version. ////
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//// ////
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//// This source is distributed in the hope that it will be ////
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//// useful, but WITHOUT ANY WARRANTY; without even the implied ////
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//// warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR ////
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//// PURPOSE. See the GNU Lesser General Public License for more ////
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//// details. ////
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//// ////
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//// You should have received a copy of the GNU Lesser General ////
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//// Public License along with this source; if not, download it ////
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//// from http://www.opencores.org/lgpl.shtml ////
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//// ////
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//////////////////////////////////////////////////////////////////////
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module
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axis_dense
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#(
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int N,
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int SHAPE[],
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string LAYER,
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string DIR,
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string ACTIVATION
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)
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(
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axis_if axis_in,
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axis_if axis_out,
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wire error,
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input aclk,
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input aresetn
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);
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// --------------------------------------------------------------------
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initial
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$display("### layer: %s SHAPE = (%0.d, %0.d) | (inputs, neurons) | %s", LAYER, SHAPE[0], SHAPE[1], ACTIVATION);
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// --------------------------------------------------------------------
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localparam A = $clog2(SHAPE[0]+1);
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localparam ROM_SIZE = 2**A;
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localparam START = 0;
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localparam STOP = SHAPE[0]+1;
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localparam MA = $clog2(SHAPE[1]); // fixme
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// --------------------------------------------------------------------
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axis_if #(N) axis_neuron[(2**MA)-1:0](.*);
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wire [SHAPE[1]-1:0] neuron_error;
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generate
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for(genvar j = 0; j < 2**MA; j++)
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if(j < SHAPE[1])
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begin: neuron_gen
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localparam FILE_NAME = $sformatf("%s/%s_%0.d.txt", DIR, LAYER, j);
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axis_dense_neuron #(N, A, FILE_NAME, START, STOP, ACTIVATION)
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neuron_i(.axis_out(axis_neuron[j]), .error(neuron_error[j]), .*);
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end
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else
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begin: dummy_gen
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assign axis_neuron[j].tvalid = 1;
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assign axis_neuron[j].tdata = 0;
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assign axis_neuron[j].tlast = 1;
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end
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endgenerate
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// --------------------------------------------------------------------
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generate
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begin: catenate_gen
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if(SHAPE[1] > 1)
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recursive_axis_catenate #(.N(N), .MA(MA))
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recursive_axis_catenate_i(.axis_in(axis_neuron), .*);
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else
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axis_alias axis_alias_in(axis_neuron[0], axis_out);
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end
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endgenerate
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// --------------------------------------------------------------------
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assign error = |neuron_error;
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// --------------------------------------------------------------------
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endmodule
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