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/----------------------------------------------------------------------------\
| yosys -- Yosys Open SYnthesis Suite |
| Copyright (C) 2012 - 2026 Claire Xenia Wolf <claire@yosyshq.com> |
| Distributed under an ISC-like license, type "license" to see terms |
\----------------------------------------------------------------------------/
Yosys 0.63+222 (git sha1 a4b6a8c58-dirty, x86_64-w64-mingw32-g++ 13.2.1 -O3)
-- Executing script file `synth_folded.ys' --
1. Executing Verilog-2005 frontend: person_classifier_popcount_folded.v
Parsing Verilog input from `person_classifier_popcount_folded.v' to AST representation.
Generating RTLIL representation for module `\person_classifier_popcount_folded'.
Successfully finished Verilog frontend.
2. Executing HIERARCHY pass (managing design hierarchy).
2.1. Analyzing design hierarchy..
Top module: \person_classifier_popcount_folded
2.2. Analyzing design hierarchy..
Top module: \person_classifier_popcount_folded
Removed 0 unused modules.
3. Executing PROC pass (convert processes to netlists).
3.1. Executing PROC_CLEAN pass (remove empty switches from decision trees).
Cleaned up 0 empty switches.
3.2. Executing PROC_RMDEAD pass (remove dead branches from decision trees).
Removed a total of 0 dead cases.
3.3. Executing PROC_PRUNE pass (remove redundant assignments in processes).
Removed 0 redundant assignments.
Promoted 0 assignments to connections.
3.4. Executing PROC_INIT pass (extract init attributes).
3.5. Executing PROC_ARST pass (detect async resets in processes).
3.6. Executing PROC_ROM pass (convert switches to ROMs).
Converted 0 switches.
3.7. Executing PROC_MUX pass (convert decision trees to multiplexers).
3.8. Executing PROC_DLATCH pass (convert process syncs to latches).
3.9. Executing PROC_DFF pass (convert process syncs to FFs).
3.10. Executing PROC_MEMWR pass (convert process memory writes to cells).
3.11. Executing PROC_CLEAN pass (remove empty switches from decision trees).
Cleaned up 0 empty switches.
3.12. Executing OPT_EXPR pass (perform const folding).
Optimizing module person_classifier_popcount_folded.
4. Executing OPT pass (performing simple optimizations).
4.1. Executing OPT_EXPR pass (perform const folding).
Optimizing module person_classifier_popcount_folded.
4.2. Executing OPT_MERGE pass (detect identical cells).
Finding identical cells in module `\person_classifier_popcount_folded'.
Computing hashes of 80 cells of `\person_classifier_popcount_folded'.
Finding duplicate cells in `\person_classifier_popcount_folded'.
Removed a total of 0 cells.
4.3. Executing OPT_MUXTREE pass (detect dead branches in mux trees).
Running muxtree optimizer on module \person_classifier_popcount_folded..
Creating internal representation of mux trees.
No muxes found in this module.
Removed 0 multiplexer ports.
4.4. Executing OPT_REDUCE pass (consolidate $*mux and $reduce_* inputs).
Optimizing cells in module \person_classifier_popcount_folded.
Performed a total of 0 changes.
4.5. Executing OPT_MERGE pass (detect identical cells).
Finding identical cells in module `\person_classifier_popcount_folded'.
Computing hashes of 80 cells of `\person_classifier_popcount_folded'.
Finding duplicate cells in `\person_classifier_popcount_folded'.
Removed a total of 0 cells.
4.6. Executing OPT_DFF pass (perform DFF optimizations).
4.7. Executing OPT_CLEAN pass (remove unused cells and wires).
Finding unused cells or wires in module \person_classifier_popcount_folded..
Removed 0 unused cells and 44 unused wires.
<suppressed ~1 debug messages>
4.8. Executing OPT_EXPR pass (perform const folding).
Optimizing module person_classifier_popcount_folded.
4.9. Rerunning OPT passes. (Maybe there is more to do..)
4.10. Executing OPT_MUXTREE pass (detect dead branches in mux trees).
Running muxtree optimizer on module \person_classifier_popcount_folded..
Creating internal representation of mux trees.
No muxes found in this module.
Removed 0 multiplexer ports.
4.11. Executing OPT_REDUCE pass (consolidate $*mux and $reduce_* inputs).
Optimizing cells in module \person_classifier_popcount_folded.
Performed a total of 0 changes.
4.12. Executing OPT_MERGE pass (detect identical cells).
Finding identical cells in module `\person_classifier_popcount_folded'.
Computing hashes of 80 cells of `\person_classifier_popcount_folded'.
Finding duplicate cells in `\person_classifier_popcount_folded'.
Removed a total of 0 cells.
4.13. Executing OPT_DFF pass (perform DFF optimizations).
4.14. Executing OPT_CLEAN pass (remove unused cells and wires).
Finding unused cells or wires in module \person_classifier_popcount_folded..
4.15. Executing OPT_EXPR pass (perform const folding).
Optimizing module person_classifier_popcount_folded.
4.16. Finished fast OPT passes. (There is nothing left to do.)
5. Executing FLATTEN pass (flatten design).
6. Executing OPT_CLEAN pass (remove unused cells and wires).
Finding unused cells or wires in module \person_classifier_popcount_folded..
7. Executing SYNTH pass.
7.1. Executing HIERARCHY pass (managing design hierarchy).
7.1.1. Analyzing design hierarchy..
Top module: \person_classifier_popcount_folded
7.1.2. Analyzing design hierarchy..
Top module: \person_classifier_popcount_folded
Removed 0 unused modules.
7.2. Executing PROC pass (convert processes to netlists).
7.2.1. Executing PROC_CLEAN pass (remove empty switches from decision trees).
Cleaned up 0 empty switches.
7.2.2. Executing PROC_RMDEAD pass (remove dead branches from decision trees).
Removed a total of 0 dead cases.
7.2.3. Executing PROC_PRUNE pass (remove redundant assignments in processes).
Removed 0 redundant assignments.
Promoted 0 assignments to connections.
7.2.4. Executing PROC_INIT pass (extract init attributes).
7.2.5. Executing PROC_ARST pass (detect async resets in processes).
7.2.6. Executing PROC_ROM pass (convert switches to ROMs).
Converted 0 switches.
7.2.7. Executing PROC_MUX pass (convert decision trees to multiplexers).
7.2.8. Executing PROC_DLATCH pass (convert process syncs to latches).
7.2.9. Executing PROC_DFF pass (convert process syncs to FFs).
7.2.10. Executing PROC_MEMWR pass (convert process memory writes to cells).
7.2.11. Executing PROC_CLEAN pass (remove empty switches from decision trees).
Cleaned up 0 empty switches.
7.2.12. Executing OPT_EXPR pass (perform const folding).
Optimizing module person_classifier_popcount_folded.
7.3. Executing OPT_EXPR pass (perform const folding).
Optimizing module person_classifier_popcount_folded.
7.4. Executing OPT_CLEAN pass (remove unused cells and wires).
Finding unused cells or wires in module \person_classifier_popcount_folded..
7.5. Executing CHECK pass (checking for obvious problems).
Checking module person_classifier_popcount_folded...
Found and reported 0 problems.
7.6. Executing OPT pass (performing simple optimizations).
7.6.1. Executing OPT_EXPR pass (perform const folding).
Optimizing module person_classifier_popcount_folded.
7.6.2. Executing OPT_MERGE pass (detect identical cells).
Finding identical cells in module `\person_classifier_popcount_folded'.
Computing hashes of 80 cells of `\person_classifier_popcount_folded'.
Finding duplicate cells in `\person_classifier_popcount_folded'.
Removed a total of 0 cells.
7.6.3. Executing OPT_MUXTREE pass (detect dead branches in mux trees).
Running muxtree optimizer on module \person_classifier_popcount_folded..
Creating internal representation of mux trees.
No muxes found in this module.
Removed 0 multiplexer ports.
7.6.4. Executing OPT_REDUCE pass (consolidate $*mux and $reduce_* inputs).
Optimizing cells in module \person_classifier_popcount_folded.
Performed a total of 0 changes.
7.6.5. Executing OPT_MERGE pass (detect identical cells).
Finding identical cells in module `\person_classifier_popcount_folded'.
Computing hashes of 80 cells of `\person_classifier_popcount_folded'.
Finding duplicate cells in `\person_classifier_popcount_folded'.
Removed a total of 0 cells.
7.6.6. Executing OPT_DFF pass (perform DFF optimizations).
7.6.7. Executing OPT_CLEAN pass (remove unused cells and wires).
Finding unused cells or wires in module \person_classifier_popcount_folded..
7.6.8. Executing OPT_EXPR pass (perform const folding).
Optimizing module person_classifier_popcount_folded.
7.6.9. Finished fast OPT passes. (There is nothing left to do.)
7.7. Executing FSM pass (extract and optimize FSM).
7.7.1. Executing FSM_DETECT pass (finding FSMs in design).
7.7.2. Executing FSM_EXTRACT pass (extracting FSM from design).
7.7.3. Executing FSM_OPT pass (simple optimizations of FSMs).
7.7.4. Executing OPT_CLEAN pass (remove unused cells and wires).
Finding unused cells or wires in module \person_classifier_popcount_folded..
7.7.5. Executing FSM_OPT pass (simple optimizations of FSMs).
7.7.6. Executing FSM_RECODE pass (re-assigning FSM state encoding).
7.7.7. Executing FSM_INFO pass (dumping all available information on FSM cells).
7.7.8. Executing FSM_MAP pass (mapping FSMs to basic logic).
7.8. Executing OPT pass (performing simple optimizations).
7.8.1. Executing OPT_EXPR pass (perform const folding).
Optimizing module person_classifier_popcount_folded.
7.8.2. Executing OPT_MERGE pass (detect identical cells).
Finding identical cells in module `\person_classifier_popcount_folded'.
Computing hashes of 80 cells of `\person_classifier_popcount_folded'.
Finding duplicate cells in `\person_classifier_popcount_folded'.
Removed a total of 0 cells.
7.8.3. Executing OPT_MUXTREE pass (detect dead branches in mux trees).
Running muxtree optimizer on module \person_classifier_popcount_folded..
Creating internal representation of mux trees.
No muxes found in this module.
Removed 0 multiplexer ports.
7.8.4. Executing OPT_REDUCE pass (consolidate $*mux and $reduce_* inputs).
Optimizing cells in module \person_classifier_popcount_folded.
Performed a total of 0 changes.
7.8.5. Executing OPT_MERGE pass (detect identical cells).
Finding identical cells in module `\person_classifier_popcount_folded'.
Computing hashes of 80 cells of `\person_classifier_popcount_folded'.
Finding duplicate cells in `\person_classifier_popcount_folded'.
Removed a total of 0 cells.
7.8.6. Executing OPT_DFF pass (perform DFF optimizations).
7.8.7. Executing OPT_CLEAN pass (remove unused cells and wires).
Finding unused cells or wires in module \person_classifier_popcount_folded..
7.8.8. Executing OPT_EXPR pass (perform const folding).
Optimizing module person_classifier_popcount_folded.
7.8.9. Finished fast OPT passes. (There is nothing left to do.)
7.9. Executing WREDUCE pass (reducing word size of cells).
Removed top 1 bits (of 8) from port B of cell person_classifier_popcount_folded.$gt$person_classifier_popcount_folded.v:25$1 ($gt).
Removed top 1 bits (of 8) from port B of cell person_classifier_popcount_folded.$gt$person_classifier_popcount_folded.v:25$2 ($gt).
Removed top 2 bits (of 8) from port B of cell person_classifier_popcount_folded.$gt$person_classifier_popcount_folded.v:26$3 ($gt).
Removed top 1 bits (of 8) from port B of cell person_classifier_popcount_folded.$gt$person_classifier_popcount_folded.v:26$4 ($gt).
Removed top 2 bits (of 8) from port B of cell person_classifier_popcount_folded.$gt$person_classifier_popcount_folded.v:27$5 ($gt).
Removed top 3 bits (of 8) from port B of cell person_classifier_popcount_folded.$gt$person_classifier_popcount_folded.v:27$6 ($gt).
Removed top 2 bits (of 8) from port B of cell person_classifier_popcount_folded.$gt$person_classifier_popcount_folded.v:28$7 ($gt).
Removed top 6 bits (of 8) from port B of cell person_classifier_popcount_folded.$gt$person_classifier_popcount_folded.v:28$8 ($gt).
Removed top 4 bits (of 8) from port B of cell person_classifier_popcount_folded.$gt$person_classifier_popcount_folded.v:29$9 ($gt).
Removed top 3 bits (of 8) from port B of cell person_classifier_popcount_folded.$gt$person_classifier_popcount_folded.v:29$10 ($gt).
Removed top 4 bits (of 8) from port B of cell person_classifier_popcount_folded.$gt$person_classifier_popcount_folded.v:30$11 ($gt).
Removed top 4 bits (of 8) from port B of cell person_classifier_popcount_folded.$gt$person_classifier_popcount_folded.v:30$12 ($gt).
Removed top 4 bits (of 8) from port B of cell person_classifier_popcount_folded.$gt$person_classifier_popcount_folded.v:31$13 ($gt).
Removed top 3 bits (of 8) from port B of cell person_classifier_popcount_folded.$gt$person_classifier_popcount_folded.v:31$14 ($gt).
Removed top 3 bits (of 8) from port B of cell person_classifier_popcount_folded.$gt$person_classifier_popcount_folded.v:32$15 ($gt).
Removed top 2 bits (of 8) from port B of cell person_classifier_popcount_folded.$gt$person_classifier_popcount_folded.v:32$16 ($gt).
Removed top 4 bits (of 8) from port B of cell person_classifier_popcount_folded.$gt$person_classifier_popcount_folded.v:33$17 ($gt).
Removed top 4 bits (of 8) from port B of cell person_classifier_popcount_folded.$gt$person_classifier_popcount_folded.v:33$18 ($gt).
Removed top 4 bits (of 8) from port B of cell person_classifier_popcount_folded.$gt$person_classifier_popcount_folded.v:34$19 ($gt).
Removed top 3 bits (of 8) from port B of cell person_classifier_popcount_folded.$gt$person_classifier_popcount_folded.v:34$20 ($gt).
Removed top 1 bits (of 8) from port B of cell person_classifier_popcount_folded.$gt$person_classifier_popcount_folded.v:37$21 ($gt).
Removed top 1 bits (of 8) from port B of cell person_classifier_popcount_folded.$gt$person_classifier_popcount_folded.v:37$22 ($gt).
Removed top 2 bits (of 8) from port B of cell person_classifier_popcount_folded.$gt$person_classifier_popcount_folded.v:38$23 ($gt).
Removed top 3 bits (of 8) from port B of cell person_classifier_popcount_folded.$gt$person_classifier_popcount_folded.v:38$24 ($gt).
Removed top 3 bits (of 8) from port B of cell person_classifier_popcount_folded.$gt$person_classifier_popcount_folded.v:39$25 ($gt).
Removed top 1 bits (of 8) from port B of cell person_classifier_popcount_folded.$gt$person_classifier_popcount_folded.v:39$26 ($gt).
Removed top 2 bits (of 8) from port B of cell person_classifier_popcount_folded.$gt$person_classifier_popcount_folded.v:40$27 ($gt).
Removed top 1 bits (of 8) from port B of cell person_classifier_popcount_folded.$gt$person_classifier_popcount_folded.v:40$28 ($gt).
Removed top 2 bits (of 8) from port B of cell person_classifier_popcount_folded.$gt$person_classifier_popcount_folded.v:41$29 ($gt).
Removed top 2 bits (of 8) from port B of cell person_classifier_popcount_folded.$gt$person_classifier_popcount_folded.v:41$30 ($gt).
Removed top 2 bits (of 8) from port B of cell person_classifier_popcount_folded.$gt$person_classifier_popcount_folded.v:42$31 ($gt).
Removed top 2 bits (of 8) from port B of cell person_classifier_popcount_folded.$gt$person_classifier_popcount_folded.v:42$32 ($gt).
Removed top 3 bits (of 8) from port B of cell person_classifier_popcount_folded.$gt$person_classifier_popcount_folded.v:43$33 ($gt).
Removed top 2 bits (of 8) from port B of cell person_classifier_popcount_folded.$gt$person_classifier_popcount_folded.v:43$34 ($gt).
Removed top 2 bits (of 8) from port B of cell person_classifier_popcount_folded.$gt$person_classifier_popcount_folded.v:44$35 ($gt).
Removed top 3 bits (of 8) from port B of cell person_classifier_popcount_folded.$gt$person_classifier_popcount_folded.v:44$36 ($gt).
Removed top 2 bits (of 8) from port B of cell person_classifier_popcount_folded.$gt$person_classifier_popcount_folded.v:45$37 ($gt).
Removed top 2 bits (of 8) from port B of cell person_classifier_popcount_folded.$gt$person_classifier_popcount_folded.v:45$38 ($gt).
Removed top 2 bits (of 8) from port B of cell person_classifier_popcount_folded.$gt$person_classifier_popcount_folded.v:46$39 ($gt).
Removed top 3 bits (of 8) from port B of cell person_classifier_popcount_folded.$gt$person_classifier_popcount_folded.v:46$40 ($gt).
Removed top 4 bits (of 6) from port Y of cell person_classifier_popcount_folded.$add$person_classifier_popcount_folded.v:49$41 ($add).
Removed top 4 bits (of 6) from port A of cell person_classifier_popcount_folded.$add$person_classifier_popcount_folded.v:49$42 ($add).
Removed top 3 bits (of 6) from port Y of cell person_classifier_popcount_folded.$add$person_classifier_popcount_folded.v:49$42 ($add).
Removed top 3 bits (of 6) from port A of cell person_classifier_popcount_folded.$add$person_classifier_popcount_folded.v:49$43 ($add).
Removed top 2 bits (of 6) from port Y of cell person_classifier_popcount_folded.$add$person_classifier_popcount_folded.v:49$43 ($add).
Removed top 2 bits (of 6) from port A of cell person_classifier_popcount_folded.$add$person_classifier_popcount_folded.v:49$44 ($add).
Removed top 1 bits (of 6) from port Y of cell person_classifier_popcount_folded.$add$person_classifier_popcount_folded.v:49$44 ($add).
Removed top 1 bits (of 6) from port A of cell person_classifier_popcount_folded.$add$person_classifier_popcount_folded.v:49$45 ($add).
Removed top 4 bits (of 6) from port Y of cell person_classifier_popcount_folded.$add$person_classifier_popcount_folded.v:56$60 ($add).
Removed top 4 bits (of 6) from port A of cell person_classifier_popcount_folded.$add$person_classifier_popcount_folded.v:56$61 ($add).
Removed top 3 bits (of 6) from port Y of cell person_classifier_popcount_folded.$add$person_classifier_popcount_folded.v:56$61 ($add).
Removed top 3 bits (of 6) from port A of cell person_classifier_popcount_folded.$add$person_classifier_popcount_folded.v:56$62 ($add).
Removed top 2 bits (of 6) from port Y of cell person_classifier_popcount_folded.$add$person_classifier_popcount_folded.v:56$62 ($add).
Removed top 2 bits (of 6) from port A of cell person_classifier_popcount_folded.$add$person_classifier_popcount_folded.v:56$63 ($add).
Removed top 1 bits (of 6) from port Y of cell person_classifier_popcount_folded.$add$person_classifier_popcount_folded.v:56$63 ($add).
Removed top 1 bits (of 6) from port A of cell person_classifier_popcount_folded.$add$person_classifier_popcount_folded.v:56$64 ($add).
Removed top 1 bits (of 7) from port A of cell person_classifier_popcount_folded.$sub$person_classifier_popcount_folded.v:62$79 ($sub).
Removed top 1 bits (of 7) from port B of cell person_classifier_popcount_folded.$sub$person_classifier_popcount_folded.v:62$79 ($sub).
Removed top 1 bits (of 6) from port B of cell person_classifier_popcount_folded.$gt$person_classifier_popcount_folded.v:63$80 ($gt).
Removed top 4 bits (of 6) from wire person_classifier_popcount_folded.$add$person_classifier_popcount_folded.v:49$41_Y.
Removed top 4 bits (of 6) from wire person_classifier_popcount_folded.$add$person_classifier_popcount_folded.v:56$60_Y.
Removed top 3 bits (of 6) from wire person_classifier_popcount_folded.$add$person_classifier_popcount_folded.v:56$61_Y.
Removed top 2 bits (of 6) from wire person_classifier_popcount_folded.$add$person_classifier_popcount_folded.v:56$62_Y.
Removed top 1 bits (of 6) from wire person_classifier_popcount_folded.$add$person_classifier_popcount_folded.v:56$63_Y.
Removed top 3 bits (of 6) from wire person_classifier_popcount_folded.$add$person_classifier_popcount_folded.v:49$42_Y.
Removed top 2 bits (of 6) from wire person_classifier_popcount_folded.$add$person_classifier_popcount_folded.v:49$43_Y.
Removed top 1 bits (of 6) from wire person_classifier_popcount_folded.$add$person_classifier_popcount_folded.v:49$44_Y.
7.10. Executing PEEPOPT pass (run peephole optimizers).
7.11. Executing OPT_CLEAN pass (remove unused cells and wires).
Finding unused cells or wires in module \person_classifier_popcount_folded..
Removed 0 unused cells and 8 unused wires.
<suppressed ~1 debug messages>
7.12. Executing ALUMACC pass (create $alu and $macc cells).
Extracting $alu and $macc cells in module person_classifier_popcount_folded:
creating $macc model for $sub$person_classifier_popcount_folded.v:62$79 ($sub).
creating $macc model for $add$person_classifier_popcount_folded.v:56$78 ($add).
creating $macc model for $add$person_classifier_popcount_folded.v:56$77 ($add).
creating $macc model for $add$person_classifier_popcount_folded.v:56$76 ($add).
creating $macc model for $add$person_classifier_popcount_folded.v:56$75 ($add).
creating $macc model for $add$person_classifier_popcount_folded.v:56$74 ($add).
creating $macc model for $add$person_classifier_popcount_folded.v:56$73 ($add).
creating $macc model for $add$person_classifier_popcount_folded.v:56$72 ($add).
creating $macc model for $add$person_classifier_popcount_folded.v:56$71 ($add).
creating $macc model for $add$person_classifier_popcount_folded.v:56$70 ($add).
creating $macc model for $add$person_classifier_popcount_folded.v:56$69 ($add).
creating $macc model for $add$person_classifier_popcount_folded.v:56$68 ($add).
creating $macc model for $add$person_classifier_popcount_folded.v:56$67 ($add).
creating $macc model for $add$person_classifier_popcount_folded.v:56$66 ($add).
creating $macc model for $add$person_classifier_popcount_folded.v:56$65 ($add).
creating $macc model for $add$person_classifier_popcount_folded.v:56$64 ($add).
creating $macc model for $add$person_classifier_popcount_folded.v:56$63 ($add).
creating $macc model for $add$person_classifier_popcount_folded.v:56$62 ($add).
creating $macc model for $add$person_classifier_popcount_folded.v:56$61 ($add).
creating $macc model for $add$person_classifier_popcount_folded.v:56$60 ($add).
creating $macc model for $add$person_classifier_popcount_folded.v:49$59 ($add).
creating $macc model for $add$person_classifier_popcount_folded.v:49$58 ($add).
creating $macc model for $add$person_classifier_popcount_folded.v:49$57 ($add).
creating $macc model for $add$person_classifier_popcount_folded.v:49$56 ($add).
creating $macc model for $add$person_classifier_popcount_folded.v:49$55 ($add).
creating $macc model for $add$person_classifier_popcount_folded.v:49$54 ($add).
creating $macc model for $add$person_classifier_popcount_folded.v:49$53 ($add).
creating $macc model for $add$person_classifier_popcount_folded.v:49$52 ($add).
creating $macc model for $add$person_classifier_popcount_folded.v:49$51 ($add).
creating $macc model for $add$person_classifier_popcount_folded.v:49$50 ($add).
creating $macc model for $add$person_classifier_popcount_folded.v:49$49 ($add).
creating $macc model for $add$person_classifier_popcount_folded.v:49$48 ($add).
creating $macc model for $add$person_classifier_popcount_folded.v:49$47 ($add).
creating $macc model for $add$person_classifier_popcount_folded.v:49$46 ($add).
creating $macc model for $add$person_classifier_popcount_folded.v:49$45 ($add).
creating $macc model for $add$person_classifier_popcount_folded.v:49$44 ($add).
creating $macc model for $add$person_classifier_popcount_folded.v:49$43 ($add).
creating $macc model for $add$person_classifier_popcount_folded.v:49$42 ($add).
creating $macc model for $add$person_classifier_popcount_folded.v:49$41 ($add).
merging $macc model for $add$person_classifier_popcount_folded.v:49$41 into $add$person_classifier_popcount_folded.v:49$42.
merging $macc model for $add$person_classifier_popcount_folded.v:49$42 into $add$person_classifier_popcount_folded.v:49$43.
merging $macc model for $add$person_classifier_popcount_folded.v:49$43 into $add$person_classifier_popcount_folded.v:49$44.
merging $macc model for $add$person_classifier_popcount_folded.v:49$44 into $add$person_classifier_popcount_folded.v:49$45.
merging $macc model for $add$person_classifier_popcount_folded.v:49$45 into $add$person_classifier_popcount_folded.v:49$46.
merging $macc model for $add$person_classifier_popcount_folded.v:49$46 into $add$person_classifier_popcount_folded.v:49$47.
merging $macc model for $add$person_classifier_popcount_folded.v:49$47 into $add$person_classifier_popcount_folded.v:49$48.
merging $macc model for $add$person_classifier_popcount_folded.v:49$48 into $add$person_classifier_popcount_folded.v:49$49.
merging $macc model for $add$person_classifier_popcount_folded.v:49$49 into $add$person_classifier_popcount_folded.v:49$50.
merging $macc model for $add$person_classifier_popcount_folded.v:49$50 into $add$person_classifier_popcount_folded.v:49$51.
merging $macc model for $add$person_classifier_popcount_folded.v:49$51 into $add$person_classifier_popcount_folded.v:49$52.
merging $macc model for $add$person_classifier_popcount_folded.v:49$52 into $add$person_classifier_popcount_folded.v:49$53.
merging $macc model for $add$person_classifier_popcount_folded.v:49$53 into $add$person_classifier_popcount_folded.v:49$54.
merging $macc model for $add$person_classifier_popcount_folded.v:49$54 into $add$person_classifier_popcount_folded.v:49$55.
merging $macc model for $add$person_classifier_popcount_folded.v:49$55 into $add$person_classifier_popcount_folded.v:49$56.
merging $macc model for $add$person_classifier_popcount_folded.v:49$56 into $add$person_classifier_popcount_folded.v:49$57.
merging $macc model for $add$person_classifier_popcount_folded.v:49$57 into $add$person_classifier_popcount_folded.v:49$58.
merging $macc model for $add$person_classifier_popcount_folded.v:49$58 into $add$person_classifier_popcount_folded.v:49$59.
merging $macc model for $add$person_classifier_popcount_folded.v:56$60 into $add$person_classifier_popcount_folded.v:56$61.
merging $macc model for $add$person_classifier_popcount_folded.v:56$61 into $add$person_classifier_popcount_folded.v:56$62.
merging $macc model for $add$person_classifier_popcount_folded.v:56$62 into $add$person_classifier_popcount_folded.v:56$63.
merging $macc model for $add$person_classifier_popcount_folded.v:56$63 into $add$person_classifier_popcount_folded.v:56$64.
merging $macc model for $add$person_classifier_popcount_folded.v:56$64 into $add$person_classifier_popcount_folded.v:56$65.
merging $macc model for $add$person_classifier_popcount_folded.v:56$65 into $add$person_classifier_popcount_folded.v:56$66.
merging $macc model for $add$person_classifier_popcount_folded.v:56$66 into $add$person_classifier_popcount_folded.v:56$67.
merging $macc model for $add$person_classifier_popcount_folded.v:56$67 into $add$person_classifier_popcount_folded.v:56$68.
merging $macc model for $add$person_classifier_popcount_folded.v:56$68 into $add$person_classifier_popcount_folded.v:56$69.
merging $macc model for $add$person_classifier_popcount_folded.v:56$69 into $add$person_classifier_popcount_folded.v:56$70.
merging $macc model for $add$person_classifier_popcount_folded.v:56$70 into $add$person_classifier_popcount_folded.v:56$71.
merging $macc model for $add$person_classifier_popcount_folded.v:56$71 into $add$person_classifier_popcount_folded.v:56$72.
merging $macc model for $add$person_classifier_popcount_folded.v:56$72 into $add$person_classifier_popcount_folded.v:56$73.
merging $macc model for $add$person_classifier_popcount_folded.v:56$73 into $add$person_classifier_popcount_folded.v:56$74.
merging $macc model for $add$person_classifier_popcount_folded.v:56$74 into $add$person_classifier_popcount_folded.v:56$75.
merging $macc model for $add$person_classifier_popcount_folded.v:56$75 into $add$person_classifier_popcount_folded.v:56$76.
merging $macc model for $add$person_classifier_popcount_folded.v:56$76 into $add$person_classifier_popcount_folded.v:56$77.
merging $macc model for $add$person_classifier_popcount_folded.v:56$77 into $add$person_classifier_popcount_folded.v:56$78.
merging $macc model for $add$person_classifier_popcount_folded.v:49$59 into $sub$person_classifier_popcount_folded.v:62$79.
merging $macc model for $add$person_classifier_popcount_folded.v:56$78 into $sub$person_classifier_popcount_folded.v:62$79.
creating $macc cell for $sub$person_classifier_popcount_folded.v:62$79: $auto$alumacc.cc:382:replace_macc$89
creating $alu model for $gt$person_classifier_popcount_folded.v:63$80 ($gt): new $alu
creating $alu model for $gt$person_classifier_popcount_folded.v:46$40 ($gt): new $alu
creating $alu model for $gt$person_classifier_popcount_folded.v:46$39 ($gt): new $alu
creating $alu model for $gt$person_classifier_popcount_folded.v:45$38 ($gt): new $alu
creating $alu model for $gt$person_classifier_popcount_folded.v:45$37 ($gt): new $alu
creating $alu model for $gt$person_classifier_popcount_folded.v:44$36 ($gt): new $alu
creating $alu model for $gt$person_classifier_popcount_folded.v:44$35 ($gt): new $alu
creating $alu model for $gt$person_classifier_popcount_folded.v:43$34 ($gt): new $alu
creating $alu model for $gt$person_classifier_popcount_folded.v:43$33 ($gt): new $alu
creating $alu model for $gt$person_classifier_popcount_folded.v:42$32 ($gt): new $alu
creating $alu model for $gt$person_classifier_popcount_folded.v:42$31 ($gt): new $alu
creating $alu model for $gt$person_classifier_popcount_folded.v:41$30 ($gt): new $alu
creating $alu model for $gt$person_classifier_popcount_folded.v:41$29 ($gt): new $alu
creating $alu model for $gt$person_classifier_popcount_folded.v:40$28 ($gt): new $alu
creating $alu model for $gt$person_classifier_popcount_folded.v:40$27 ($gt): new $alu
creating $alu model for $gt$person_classifier_popcount_folded.v:39$26 ($gt): new $alu
creating $alu model for $gt$person_classifier_popcount_folded.v:39$25 ($gt): new $alu
creating $alu model for $gt$person_classifier_popcount_folded.v:38$24 ($gt): new $alu
creating $alu model for $gt$person_classifier_popcount_folded.v:38$23 ($gt): new $alu
creating $alu model for $gt$person_classifier_popcount_folded.v:37$22 ($gt): new $alu
creating $alu model for $gt$person_classifier_popcount_folded.v:37$21 ($gt): new $alu
creating $alu model for $gt$person_classifier_popcount_folded.v:34$20 ($gt): new $alu
creating $alu model for $gt$person_classifier_popcount_folded.v:34$19 ($gt): new $alu
creating $alu model for $gt$person_classifier_popcount_folded.v:33$18 ($gt): new $alu
creating $alu model for $gt$person_classifier_popcount_folded.v:33$17 ($gt): new $alu
creating $alu model for $gt$person_classifier_popcount_folded.v:32$16 ($gt): new $alu
creating $alu model for $gt$person_classifier_popcount_folded.v:32$15 ($gt): new $alu
creating $alu model for $gt$person_classifier_popcount_folded.v:31$14 ($gt): new $alu
creating $alu model for $gt$person_classifier_popcount_folded.v:31$13 ($gt): new $alu
creating $alu model for $gt$person_classifier_popcount_folded.v:30$12 ($gt): new $alu
creating $alu model for $gt$person_classifier_popcount_folded.v:30$11 ($gt): new $alu
creating $alu model for $gt$person_classifier_popcount_folded.v:29$10 ($gt): new $alu
creating $alu model for $gt$person_classifier_popcount_folded.v:29$9 ($gt): new $alu
creating $alu model for $gt$person_classifier_popcount_folded.v:28$8 ($gt): new $alu
creating $alu model for $gt$person_classifier_popcount_folded.v:28$7 ($gt): new $alu
creating $alu model for $gt$person_classifier_popcount_folded.v:27$6 ($gt): new $alu
creating $alu model for $gt$person_classifier_popcount_folded.v:27$5 ($gt): new $alu
creating $alu model for $gt$person_classifier_popcount_folded.v:26$4 ($gt): new $alu
creating $alu model for $gt$person_classifier_popcount_folded.v:26$3 ($gt): new $alu
creating $alu model for $gt$person_classifier_popcount_folded.v:25$2 ($gt): new $alu
creating $alu model for $gt$person_classifier_popcount_folded.v:25$1 ($gt): new $alu
creating $alu cell for $gt$person_classifier_popcount_folded.v:25$1: $auto$alumacc.cc:512:replace_alu$131
creating $alu cell for $gt$person_classifier_popcount_folded.v:25$2: $auto$alumacc.cc:512:replace_alu$144
creating $alu cell for $gt$person_classifier_popcount_folded.v:26$3: $auto$alumacc.cc:512:replace_alu$157
creating $alu cell for $gt$person_classifier_popcount_folded.v:26$4: $auto$alumacc.cc:512:replace_alu$170
creating $alu cell for $gt$person_classifier_popcount_folded.v:27$5: $auto$alumacc.cc:512:replace_alu$183
creating $alu cell for $gt$person_classifier_popcount_folded.v:27$6: $auto$alumacc.cc:512:replace_alu$196
creating $alu cell for $gt$person_classifier_popcount_folded.v:28$7: $auto$alumacc.cc:512:replace_alu$209
creating $alu cell for $gt$person_classifier_popcount_folded.v:28$8: $auto$alumacc.cc:512:replace_alu$222
creating $alu cell for $gt$person_classifier_popcount_folded.v:29$9: $auto$alumacc.cc:512:replace_alu$235
creating $alu cell for $gt$person_classifier_popcount_folded.v:29$10: $auto$alumacc.cc:512:replace_alu$248
creating $alu cell for $gt$person_classifier_popcount_folded.v:30$11: $auto$alumacc.cc:512:replace_alu$261
creating $alu cell for $gt$person_classifier_popcount_folded.v:30$12: $auto$alumacc.cc:512:replace_alu$274
creating $alu cell for $gt$person_classifier_popcount_folded.v:31$13: $auto$alumacc.cc:512:replace_alu$287
creating $alu cell for $gt$person_classifier_popcount_folded.v:31$14: $auto$alumacc.cc:512:replace_alu$300
creating $alu cell for $gt$person_classifier_popcount_folded.v:32$15: $auto$alumacc.cc:512:replace_alu$313
creating $alu cell for $gt$person_classifier_popcount_folded.v:32$16: $auto$alumacc.cc:512:replace_alu$326
creating $alu cell for $gt$person_classifier_popcount_folded.v:33$17: $auto$alumacc.cc:512:replace_alu$339
creating $alu cell for $gt$person_classifier_popcount_folded.v:33$18: $auto$alumacc.cc:512:replace_alu$352
creating $alu cell for $gt$person_classifier_popcount_folded.v:34$19: $auto$alumacc.cc:512:replace_alu$365
creating $alu cell for $gt$person_classifier_popcount_folded.v:34$20: $auto$alumacc.cc:512:replace_alu$378
creating $alu cell for $gt$person_classifier_popcount_folded.v:37$21: $auto$alumacc.cc:512:replace_alu$391
creating $alu cell for $gt$person_classifier_popcount_folded.v:37$22: $auto$alumacc.cc:512:replace_alu$404
creating $alu cell for $gt$person_classifier_popcount_folded.v:38$23: $auto$alumacc.cc:512:replace_alu$417
creating $alu cell for $gt$person_classifier_popcount_folded.v:38$24: $auto$alumacc.cc:512:replace_alu$430
creating $alu cell for $gt$person_classifier_popcount_folded.v:39$25: $auto$alumacc.cc:512:replace_alu$443
creating $alu cell for $gt$person_classifier_popcount_folded.v:39$26: $auto$alumacc.cc:512:replace_alu$456
creating $alu cell for $gt$person_classifier_popcount_folded.v:40$27: $auto$alumacc.cc:512:replace_alu$469
creating $alu cell for $gt$person_classifier_popcount_folded.v:40$28: $auto$alumacc.cc:512:replace_alu$482
creating $alu cell for $gt$person_classifier_popcount_folded.v:41$29: $auto$alumacc.cc:512:replace_alu$495
creating $alu cell for $gt$person_classifier_popcount_folded.v:41$30: $auto$alumacc.cc:512:replace_alu$508
creating $alu cell for $gt$person_classifier_popcount_folded.v:42$31: $auto$alumacc.cc:512:replace_alu$521
creating $alu cell for $gt$person_classifier_popcount_folded.v:42$32: $auto$alumacc.cc:512:replace_alu$534
creating $alu cell for $gt$person_classifier_popcount_folded.v:43$33: $auto$alumacc.cc:512:replace_alu$547
creating $alu cell for $gt$person_classifier_popcount_folded.v:43$34: $auto$alumacc.cc:512:replace_alu$560
creating $alu cell for $gt$person_classifier_popcount_folded.v:44$35: $auto$alumacc.cc:512:replace_alu$573
creating $alu cell for $gt$person_classifier_popcount_folded.v:44$36: $auto$alumacc.cc:512:replace_alu$586
creating $alu cell for $gt$person_classifier_popcount_folded.v:45$37: $auto$alumacc.cc:512:replace_alu$599
creating $alu cell for $gt$person_classifier_popcount_folded.v:45$38: $auto$alumacc.cc:512:replace_alu$612
creating $alu cell for $gt$person_classifier_popcount_folded.v:46$39: $auto$alumacc.cc:512:replace_alu$625
creating $alu cell for $gt$person_classifier_popcount_folded.v:46$40: $auto$alumacc.cc:512:replace_alu$638
creating $alu cell for $gt$person_classifier_popcount_folded.v:63$80: $auto$alumacc.cc:512:replace_alu$651
created 41 $alu and 1 $macc cells.
7.13. Executing SHARE pass (SAT-based resource sharing).
7.14. Executing OPT pass (performing simple optimizations).
7.14.1. Executing OPT_EXPR pass (perform const folding).
Optimizing module person_classifier_popcount_folded.
7.14.2. Executing OPT_MERGE pass (detect identical cells).
Finding identical cells in module `\person_classifier_popcount_folded'.
Computing hashes of 285 cells of `\person_classifier_popcount_folded'.
Finding duplicate cells in `\person_classifier_popcount_folded'.
Removed a total of 0 cells.
7.14.3. Executing OPT_MUXTREE pass (detect dead branches in mux trees).
Running muxtree optimizer on module \person_classifier_popcount_folded..
Creating internal representation of mux trees.
No muxes found in this module.
Removed 0 multiplexer ports.
7.14.4. Executing OPT_REDUCE pass (consolidate $*mux and $reduce_* inputs).
Optimizing cells in module \person_classifier_popcount_folded.
Performed a total of 0 changes.
7.14.5. Executing OPT_MERGE pass (detect identical cells).
Finding identical cells in module `\person_classifier_popcount_folded'.
Computing hashes of 285 cells of `\person_classifier_popcount_folded'.
Finding duplicate cells in `\person_classifier_popcount_folded'.
Removed a total of 0 cells.
7.14.6. Executing OPT_DFF pass (perform DFF optimizations).
7.14.7. Executing OPT_CLEAN pass (remove unused cells and wires).
Finding unused cells or wires in module \person_classifier_popcount_folded..
Removed 38 unused cells and 79 unused wires.
<suppressed ~41 debug messages>
7.14.8. Executing OPT_EXPR pass (perform const folding).
Optimizing module person_classifier_popcount_folded.
7.14.9. Rerunning OPT passes. (Maybe there is more to do..)
7.14.10. Executing OPT_MUXTREE pass (detect dead branches in mux trees).
Running muxtree optimizer on module \person_classifier_popcount_folded..
Creating internal representation of mux trees.
No muxes found in this module.
Removed 0 multiplexer ports.
7.14.11. Executing OPT_REDUCE pass (consolidate $*mux and $reduce_* inputs).
Optimizing cells in module \person_classifier_popcount_folded.
Performed a total of 0 changes.
7.14.12. Executing OPT_MERGE pass (detect identical cells).
Finding identical cells in module `\person_classifier_popcount_folded'.
Computing hashes of 247 cells of `\person_classifier_popcount_folded'.
Finding duplicate cells in `\person_classifier_popcount_folded'.
Removed a total of 0 cells.
7.14.13. Executing OPT_DFF pass (perform DFF optimizations).
7.14.14. Executing OPT_CLEAN pass (remove unused cells and wires).
Finding unused cells or wires in module \person_classifier_popcount_folded..
7.14.15. Executing OPT_EXPR pass (perform const folding).
Optimizing module person_classifier_popcount_folded.
7.14.16. Finished fast OPT passes. (There is nothing left to do.)
7.15. Executing MEMORY pass.
7.15.1. Executing OPT_MEM pass (optimize memories).
Performed a total of 0 transformations.
7.15.2. Executing OPT_MEM_PRIORITY pass (removing unnecessary memory write priority relations).
Performed a total of 0 transformations.
7.15.3. Executing OPT_MEM_FEEDBACK pass (finding memory read-to-write feedback paths).
7.15.4. Executing MEMORY_BMUX2ROM pass (converting muxes to ROMs).
7.15.5. Executing MEMORY_DFF pass (merging $dff cells to $memrd).
7.15.6. Executing OPT_CLEAN pass (remove unused cells and wires).
Finding unused cells or wires in module \person_classifier_popcount_folded..
7.15.7. Executing MEMORY_SHARE pass (consolidating $memrd/$memwr cells).
7.15.8. Executing OPT_MEM_WIDEN pass (optimize memories where all ports are wide).
Performed a total of 0 transformations.
7.15.9. Executing OPT_CLEAN pass (remove unused cells and wires).
Finding unused cells or wires in module \person_classifier_popcount_folded..
7.15.10. Executing MEMORY_COLLECT pass (generating $mem cells).
7.16. Executing OPT_CLEAN pass (remove unused cells and wires).
Finding unused cells or wires in module \person_classifier_popcount_folded..
7.17. Executing OPT pass (performing simple optimizations).
7.17.1. Executing OPT_EXPR pass (perform const folding).
Optimizing module person_classifier_popcount_folded.
<suppressed ~22 debug messages>
7.17.2. Executing OPT_MERGE pass (detect identical cells).
Finding identical cells in module `\person_classifier_popcount_folded'.
Computing hashes of 289 cells of `\person_classifier_popcount_folded'.
Finding duplicate cells in `\person_classifier_popcount_folded'.
Removed a total of 0 cells.
7.17.3. Executing OPT_DFF pass (perform DFF optimizations).
7.17.4. Executing OPT_CLEAN pass (remove unused cells and wires).
Finding unused cells or wires in module \person_classifier_popcount_folded..
Removed 0 unused cells and 42 unused wires.
<suppressed ~1 debug messages>
7.17.5. Finished fast OPT passes.
7.18. Executing MEMORY_MAP pass (converting memories to logic and flip-flops).
7.19. Executing OPT pass (performing simple optimizations).
7.19.1. Executing OPT_EXPR pass (perform const folding).
Optimizing module person_classifier_popcount_folded.
7.19.2. Executing OPT_MERGE pass (detect identical cells).
Finding identical cells in module `\person_classifier_popcount_folded'.
Computing hashes of 289 cells of `\person_classifier_popcount_folded'.
Finding duplicate cells in `\person_classifier_popcount_folded'.
Removed a total of 0 cells.
7.19.3. Executing OPT_MUXTREE pass (detect dead branches in mux trees).
Running muxtree optimizer on module \person_classifier_popcount_folded..
Creating internal representation of mux trees.
No muxes found in this module.
Removed 0 multiplexer ports.
7.19.4. Executing OPT_REDUCE pass (consolidate $*mux and $reduce_* inputs).
Optimizing cells in module \person_classifier_popcount_folded.
Performed a total of 0 changes.
7.19.5. Executing OPT_MERGE pass (detect identical cells).
Finding identical cells in module `\person_classifier_popcount_folded'.
Computing hashes of 289 cells of `\person_classifier_popcount_folded'.
Finding duplicate cells in `\person_classifier_popcount_folded'.
Removed a total of 0 cells.
7.19.6. Executing OPT_SHARE pass.
7.19.7. Executing OPT_DFF pass (perform DFF optimizations).
7.19.8. Executing OPT_CLEAN pass (remove unused cells and wires).
Finding unused cells or wires in module \person_classifier_popcount_folded..
7.19.9. Executing OPT_EXPR pass (perform const folding).
Optimizing module person_classifier_popcount_folded.
7.19.10. Finished fast OPT passes. (There is nothing left to do.)
7.20. Executing TECHMAP pass (map to technology primitives).
7.20.1. Executing Verilog-2005 frontend: D:\oss-cad-suite\bin\../share/yosys/techmap.v
Parsing Verilog input from `D:\oss-cad-suite\bin\../share/yosys/techmap.v' to AST representation.
Generating RTLIL representation for module `\_90_simplemap_bool_ops'.
Generating RTLIL representation for module `\_90_simplemap_reduce_ops'.
Generating RTLIL representation for module `\_90_simplemap_logic_ops'.
Generating RTLIL representation for module `\_90_simplemap_compare_ops'.
Generating RTLIL representation for module `\_90_simplemap_various'.
Generating RTLIL representation for module `\_90_simplemap_registers'.
Generating RTLIL representation for module `\_90_shift_ops_shr_shl_sshl_sshr'.
Generating RTLIL representation for module `\_90_shift_shiftx'.
Generating RTLIL representation for module `\_90_fa'.
Generating RTLIL representation for module `\_90_lcu_brent_kung'.
Generating RTLIL representation for module `\_90_alu'.
Generating RTLIL representation for module `\_90_macc'.
Generating RTLIL representation for module `\_90_alumacc'.
Generating RTLIL representation for module `$__div_mod_u'.
Generating RTLIL representation for module `$__div_mod_trunc'.
Generating RTLIL representation for module `\_90_div'.
Generating RTLIL representation for module `\_90_mod'.
Generating RTLIL representation for module `$__div_mod_floor'.
Generating RTLIL representation for module `\_90_divfloor'.
Generating RTLIL representation for module `\_90_modfloor'.
Generating RTLIL representation for module `\_90_pow'.
Generating RTLIL representation for module `\_90_pmux'.
Generating RTLIL representation for module `\_90_demux'.
Generating RTLIL representation for module `\_90_lut'.
Generating RTLIL representation for module `$connect'.
Generating RTLIL representation for module `$input_port'.
Successfully finished Verilog frontend.
7.20.2. Continuing TECHMAP pass.
Using extmapper simplemap for cells of type $not.
Using extmapper simplemap for cells of type $or.
Using extmapper simplemap for cells of type $reduce_and.
Using extmapper simplemap for cells of type $xor.
Using template $paramod$297518c194a8ad6f44154a9c5ecf19486562def9\_90_alu for cells of type $alu.
Using template $paramod$f7b328629d450626581b38fa77678b64840b1bd3\_90_alu for cells of type $alu.
Using template $paramod$b72146ddedeedf6b20d77d4e250bab582e4592bc\_90_alu for cells of type $alu.
Using template $paramod$26bc1555e7e0f98bd36dce43959f94aabea489fb\_90_alu for cells of type $alu.
Using template $paramod$545c15afbd432ae0238c822091cfd2c3caed17cb\_90_alu for cells of type $alu.
Using template $paramod$7428e76e62a73bc15e032afd19bff97c9bfc295a\_90_alu for cells of type $alu.
Using template $paramod$acb50aac1033d58dd99234b0e18364ce3b729ad2\_90_alu for cells of type $alu.
Using template $paramod$d962484f5f83e7cf93ec14aa287647fe30a8e420\_90_alu for cells of type $alu.
Using template $paramod$8c3c356f3c281cd9ae1e645f5294d6a2a1427462\_90_alu for cells of type $alu.
Using template $paramod$00325734e079d13ca2c28a5c21677fbdd584b592\_90_alu for cells of type $alu.
Using template $paramod$c3b99e8941462f3f0961a07bbdd1cb43e85cc481\_90_alu for cells of type $alu.
Using template $paramod$0e3c1a094065a85d0fda905f8f45176693bebe5a\_90_alu for cells of type $alu.
Using template $paramod$026a25b0ac8923e25340c48710b92fe5b83aead0\_90_alu for cells of type $alu.
Using template $paramod$15650b5f68527c2737f08685d9884042e045002a\_90_alu for cells of type $alu.
Using extmapper maccmap for cells of type $macc_v2.
add \pos_bits [0] (1 bits, unsigned)
sub \neg_bits [0] (1 bits, unsigned)
add \pos_bits [19] (1 bits, unsigned)
add \pos_bits [18] (1 bits, unsigned)
add \pos_bits [17] (1 bits, unsigned)
add \pos_bits [16] (1 bits, unsigned)
add \pos_bits [15] (1 bits, unsigned)
add \pos_bits [14] (1 bits, unsigned)
add \pos_bits [13] (1 bits, unsigned)
add \pos_bits [12] (1 bits, unsigned)
add \pos_bits [11] (1 bits, unsigned)
add \pos_bits [10] (1 bits, unsigned)
add \pos_bits [9] (1 bits, unsigned)
add \pos_bits [8] (1 bits, unsigned)
add \pos_bits [7] (1 bits, unsigned)
add \pos_bits [6] (1 bits, unsigned)
add \pos_bits [5] (1 bits, unsigned)
add \pos_bits [4] (1 bits, unsigned)
add \pos_bits [3] (1 bits, unsigned)
add \pos_bits [2] (1 bits, unsigned)
add \pos_bits [1] (1 bits, unsigned)
sub \neg_bits [19] (1 bits, unsigned)
sub \neg_bits [18] (1 bits, unsigned)
sub \neg_bits [17] (1 bits, unsigned)
sub \neg_bits [16] (1 bits, unsigned)
sub \neg_bits [15] (1 bits, unsigned)
sub \neg_bits [14] (1 bits, unsigned)
sub \neg_bits [13] (1 bits, unsigned)
sub \neg_bits [12] (1 bits, unsigned)
sub \neg_bits [11] (1 bits, unsigned)
sub \neg_bits [10] (1 bits, unsigned)
sub \neg_bits [9] (1 bits, unsigned)
sub \neg_bits [8] (1 bits, unsigned)
sub \neg_bits [7] (1 bits, unsigned)
sub \neg_bits [6] (1 bits, unsigned)
sub \neg_bits [5] (1 bits, unsigned)
sub \neg_bits [4] (1 bits, unsigned)
sub \neg_bits [3] (1 bits, unsigned)
sub \neg_bits [2] (1 bits, unsigned)
sub \neg_bits [1] (1 bits, unsigned)
packed 19 (19) bits / 19 words into adder tree
Using template $paramod\_90_fa\WIDTH=32'00000000000000000000000000000111 for cells of type $fa.
Using template $paramod$dbcdc7e8aa1a4080cea2deda6fdc8772064f4d90\_90_alu for cells of type $alu.
Using template $paramod\_90_lcu_brent_kung\WIDTH=32'00000000000000000000000000000111 for cells of type $lcu.
Using extmapper simplemap for cells of type $pos.
Using extmapper simplemap for cells of type $mux.
Using template $paramod\_90_fa\WIDTH=32'00000000000000000000000000001000 for cells of type $fa.
Using template $paramod\_90_lcu_brent_kung\WIDTH=32'00000000000000000000000000001000 for cells of type $lcu.
Using template $paramod\_90_fa\WIDTH=32'00000000000000000000000000000100 for cells of type $fa.
Using template $paramod\_90_lcu_brent_kung\WIDTH=32'00000000000000000000000000000100 for cells of type $lcu.
Using template $paramod\_90_fa\WIDTH=32'00000000000000000000000000000110 for cells of type $fa.
Using template $paramod\_90_lcu_brent_kung\WIDTH=32'00000000000000000000000000000110 for cells of type $lcu.
Using template $paramod\_90_fa\WIDTH=32'00000000000000000000000000000101 for cells of type $fa.
Using template $paramod\_90_lcu_brent_kung\WIDTH=32'00000000000000000000000000000101 for cells of type $lcu.
Using extmapper simplemap for cells of type $and.
No more expansions possible.
<suppressed ~2836 debug messages>
7.21. Executing OPT pass (performing simple optimizations).
7.21.1. Executing OPT_EXPR pass (perform const folding).
Optimizing module person_classifier_popcount_folded.
<suppressed ~2971 debug messages>
7.21.2. Executing OPT_MERGE pass (detect identical cells).
Finding identical cells in module `\person_classifier_popcount_folded'.
Computing hashes of 1889 cells of `\person_classifier_popcount_folded'.
Finding duplicate cells in `\person_classifier_popcount_folded'.
Computing hashes of 1791 cells of `\person_classifier_popcount_folded'.
Finding duplicate cells in `\person_classifier_popcount_folded'.
Computing hashes of 1767 cells of `\person_classifier_popcount_folded'.
Finding duplicate cells in `\person_classifier_popcount_folded'.
Computing hashes of 1766 cells of `\person_classifier_popcount_folded'.
Finding duplicate cells in `\person_classifier_popcount_folded'.
<suppressed ~369 debug messages>
Removed a total of 123 cells.
7.21.3. Executing OPT_DFF pass (perform DFF optimizations).
7.21.4. Executing OPT_CLEAN pass (remove unused cells and wires).
Finding unused cells or wires in module \person_classifier_popcount_folded..
Removed 383 unused cells and 2441 unused wires.
<suppressed ~385 debug messages>
7.21.5. Finished fast OPT passes.
7.22. Executing ABC pass (technology mapping using ABC).
7.22.1. Extracting gate netlist of module `\person_classifier_popcount_folded' to `<abc-temp-dir>/input.blif'..
7.22.1.1. Executed ABC.
Extracted 1383 gates and 1703 wires to a netlist network with 320 inputs and 1 outputs.
Running ABC script: <abc-temp-dir>/abc.script
ABC: ======== ABC command line "source <abc-temp-dir>/abc.script"
ABC: + read_blif <abc-temp-dir>/input.blif
ABC: + read_library <abc-temp-dir>/stdcells.genlib
ABC: + strash
ABC: + &get -n
ABC: + &fraig -x
ABC: + &put
ABC: + scorr
ABC: Warning: The network is combinational (run "fraig" or "fraig_sweep").
ABC: + dc2
ABC: + dretime
ABC: + strash
ABC: + &get -n
ABC: + &dch -f
ABC: + &nf
ABC: + &put
ABC: + write_blif <abc-temp-dir>/output.blif
7.22.1.2. Re-integrating ABC results.
ABC RESULTS: AND cells: 89
ABC RESULTS: ANDNOT cells: 15
ABC RESULTS: NAND cells: 135
ABC RESULTS: NOR cells: 80
ABC RESULTS: NOT cells: 1
ABC RESULTS: OR cells: 51
ABC RESULTS: ORNOT cells: 7
ABC RESULTS: XNOR cells: 10
ABC RESULTS: XOR cells: 59
ABC RESULTS: internal signals: 1382
ABC RESULTS: input signals: 320
ABC RESULTS: output signals: 1
Removing temp directory.
Removing global temp directory.
7.23. Executing OPT pass (performing simple optimizations).
7.23.1. Executing OPT_EXPR pass (perform const folding).
Optimizing module person_classifier_popcount_folded.
7.23.2. Executing OPT_MERGE pass (detect identical cells).
Finding identical cells in module `\person_classifier_popcount_folded'.
Computing hashes of 447 cells of `\person_classifier_popcount_folded'.
Finding duplicate cells in `\person_classifier_popcount_folded'.
Removed a total of 0 cells.
7.23.3. Executing OPT_DFF pass (perform DFF optimizations).
7.23.4. Executing OPT_CLEAN pass (remove unused cells and wires).
Finding unused cells or wires in module \person_classifier_popcount_folded..
Removed 0 unused cells and 1132 unused wires.
<suppressed ~3 debug messages>
7.23.5. Finished fast OPT passes.
7.24. Executing HIERARCHY pass (managing design hierarchy).
Attribute `top' found on module `person_classifier_popcount_folded'. Setting top module to person_classifier_popcount_folded.
7.24.1. Analyzing design hierarchy..
Top module: \person_classifier_popcount_folded
7.24.2. Analyzing design hierarchy..
Top module: \person_classifier_popcount_folded
Removed 0 unused modules.
7.25. Printing statistics.
=== person_classifier_popcount_folded ===
+----------Local Count, excluding submodules.
|
487 wires
767 wire bits
41 public wires
321 public wire bits
41 ports
321 port bits
447 cells
15 $_ANDNOT_
89 $_AND_
135 $_NAND_
80 $_NOR_
1 $_NOT_
7 $_ORNOT_
51 $_OR_
10 $_XNOR_
59 $_XOR_
7.26. Executing CHECK pass (checking for obvious problems).
Checking module person_classifier_popcount_folded...
Found and reported 0 problems.
8. Executing ABC pass (technology mapping using ABC).
8.1. Extracting gate netlist of module `\person_classifier_popcount_folded' to `<abc-temp-dir>/input.blif'..
8.1.1. Executed ABC.
Extracted 447 gates and 738 wires to a netlist network with 291 inputs and 1 outputs.
Running ABC script: <abc-temp-dir>/abc.script
ABC: ======== ABC command line "source <abc-temp-dir>/abc.script"
ABC: + read_blif <abc-temp-dir>/input.blif
ABC: + read_library <abc-temp-dir>/stdcells.genlib
ABC: + strash
ABC: + &get -n
ABC: + &fraig -x
ABC: + &put
ABC: + scorr
ABC: Warning: The network is combinational (run "fraig" or "fraig_sweep").
ABC: + dc2
ABC: + dretime
ABC: + strash
ABC: + &get -n
ABC: + &dch -f
ABC: + &nf
ABC: + &put
ABC: + write_blif <abc-temp-dir>/output.blif
8.1.2. Re-integrating ABC results.
ABC RESULTS: AND cells: 378
ABC RESULTS: NOT cells: 452
ABC RESULTS: XOR cells: 77
ABC RESULTS: internal signals: 446
ABC RESULTS: input signals: 291
ABC RESULTS: output signals: 1
Removing temp directory.
Removing global temp directory.
9. Executing OPT_CLEAN pass (remove unused cells and wires).
Finding unused cells or wires in module \person_classifier_popcount_folded..
Removed 0 unused cells and 738 unused wires.
<suppressed ~1 debug messages>
10. Printing statistics.
=== person_classifier_popcount_folded ===
+----------Local Count, excluding submodules.
|
947 wires
1227 wire bits
41 public wires
321 public wire bits
41 ports
321 port bits
907 cells
378 $_AND_
452 $_NOT_
77 $_XOR_
11. Executing Verilog backend.
11.1. Executing BMUXMAP pass.
11.2. Executing DEMUXMAP pass.
Dumping module `\person_classifier_popcount_folded'.
End of script. Logfile hash: 4e1815ade6
Yosys 0.63+222 (git sha1 a4b6a8c58-dirty, x86_64-w64-mingw32-g++ 13.2.1 -O3)
Time spent: 1% 28x opt_expr (0 sec), 1% 23x opt_clean (0 sec), ...
|