/----------------------------------------------------------------------------\ | yosys -- Yosys Open SYnthesis Suite | | Copyright (C) 2012 - 2026 Claire Xenia Wolf | | 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. 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. 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. 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. 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. 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. 7.21. Executing OPT pass (performing simple optimizations). 7.21.1. Executing OPT_EXPR pass (perform const folding). Optimizing module person_classifier_popcount_folded. 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'. 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. 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 `/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.script ABC: ======== ABC command line "source /abc.script" ABC: + read_blif /input.blif ABC: + read_library /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 /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. 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 `/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.script ABC: ======== ABC command line "source /abc.script" ABC: + read_blif /input.blif ABC: + read_library /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 /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. 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), ...