|
|
| /----------------------------------------------------------------------------\
|
| | 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
|
|
|
