Commit 57e17f18 authored by Margret A. Riegert's avatar Margret A. Riegert
Browse files

Remove all logs


Former-commit-id: 3069e8f5ce91436bc15d7284610aa09f0ab05521 [formerly 9ea696d039f9eac8edf275ef6e70956fc01349e8]
Former-commit-id: 8fb640ad5febd3f7ba9120133d4ec6c06ee198c5
parent c90b6e4b
......@@ -2,3 +2,6 @@
*.d
*.a
**/bin
__pycache__
*.tmp
*.log
\ No newline at end of file
blackscholes.c
obj/blackscholes.o
if [ ! -d "./bin" ];then \
mkdir bin; \
fi
if [ ! -d "./obj" ];then \
mkdir obj; \
fi
python /home/yazdan/phd/projects/parrot.cpu/parrot.c/src/ParrotObserver/plang.py -c /home/yazdan/phd/projects/parrot.cpu/parrot.c/src/ParrotObserver/ParrotC.json -a observe -e "g++ -Wall -Wnarrowing -lfann -lbackprop -lboost_regex -std=c++11 -O3 -MD -I/home/yazdan/phd/benchmarks/npu.bench/anpu.compiler/src -I/filespace/people/y/yazdanbakhsh/FANN/bin/include -Isrc -I/home/yazdan/phd/projects/parrot.cpu/parrot.c/src/ParrotLib -c" -s "src/blackscholes.c" -o "obj/blackscholes.o" -t
obj/blackscholes.o.parroto.c:259:0: warning: ignoring #pragma parrot [-Wunknown-pragmas]
#pragma parrot(input, "blackscholes", [6]dataIn)
^
obj/blackscholes.o.parroto.c:268:0: warning: ignoring #pragma parrot [-Wunknown-pragmas]
#pragma parrot(output, "blackscholes", [1]<0.1; 0.9>dataOut)
^
obj/blackscholes.o.parroto.c: In function ‘int bs_thread(void*)’:
obj/blackscholes.o.parroto.c:246:20: warning: unused variable ‘price’ [-Wunused-variable]
fptype price;
^
--------------------------------
[6]dataIn
['dataIn', '6', None, None]
('dataIn', '6', ('0', '0'))
[('dataIn', '6', ('0', '0'))]
--------------------------------
[1]<0.1; 0.9>dataOut
['dataOut', '1', '0.1', ' 0.9']
('dataOut', '1', ('0.1', '0.9'))
[('dataOut', '1', ('0.1', '0.9'))]
Parrot Observer
g++ -Wall -Wnarrowing -lfann -lbackprop -lboost_regex -std=c++11 -O3 -MD -I/home/yazdan/phd/benchmarks/npu.bench/anpu.compiler/src -I/filespace/people/y/yazdanbakhsh/FANN/bin/include -Isrc -I/home/yazdan/phd/projects/parrot.cpu/parrot.c/src/ParrotLib -c obj/blackscholes.o.parroto.c -o obj/blackscholes.o
mv obj/blackscholes.o.parroto.c obj/blackscholes.o.parroto.c.tmp
#g++ -Wall -Wnarrowing -lfann -lbackprop -lboost_regex -std=c++11 -O3 -MD -I/home/yazdan/phd/benchmarks/npu.bench/anpu.compiler/src -I/filespace/people/y/yazdanbakhsh/FANN/bin/include -Isrc -c src/blackscholes.c -o obj/blackscholes.o
g++ obj/blackscholes.o -L/home/yazdan/phd/benchmarks/npu.bench/anpu.compiler/lib -L/filespace/people/y/yazdanbakhsh/FANN/bin/lib -L/home/yazdan/phd/projects/parrot.cpu/parrot.c/src/ParrotLib -lfann -lbackprop -lboost_regex -lParrot -o bin/blackscholes.out
src.nn/blackscholes_nn.c
obj/blackscholes_nn.o
if [ ! -d "./bin" ];then \
mkdir bin; \
fi
if [ ! -d "./obj" ];then \
mkdir obj; \
fi
g++ -Wall -Wnarrowing -lfann -lbackprop -lboost_regex -std=c++11 -O3 -MD -I/home/yazdan/phd/benchmarks/npu.bench/anpu.compiler/src -I/filespace/people/y/yazdanbakhsh/FANN/bin/include -Isrc -I/home/yazdan/phd/projects/parrot.cpu/parrot.c/src/ParrotLib -c src.nn/blackscholes_nn.c -o obj/blackscholes_nn.o
src.nn/blackscholes_nn.c: In function ‘int bs_thread(void*)’:
src.nn/blackscholes_nn.c:247:20: warning: unused variable ‘price’ [-Wunused-variable]
fptype price;
^
src.nn/blackscholes_nn.c:248:20: warning: unused variable ‘N1’ [-Wunused-variable]
fptype N1, N2;
^
src.nn/blackscholes_nn.c:248:24: warning: unused variable ‘N2’ [-Wunused-variable]
fptype N1, N2;
^
g++ obj/blackscholes_nn.o -L/home/yazdan/phd/benchmarks/npu.bench/anpu.compiler/lib -L/filespace/people/y/yazdanbakhsh/FANN/bin/lib -L/home/yazdan/phd/projects/parrot.cpu/parrot.c/src/ParrotLib -lfann -lbackprop -lboost_regex -lParrot -o bin/blackscholes.nn.out
# config: 6->2->1
# epochs: 1000
# run: 1
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.1912279278. Bit fail 136.
Epochs 200. Current error: 0.0012876834. Bit fail 0.
Epochs 400. Current error: 0.0011032567. Bit fail 0.
Epochs 600. Current error: 0.0010876892. Bit fail 0.
Epochs 800. Current error: 0.0010795034. Bit fail 0.
Epochs 1000. Current error: 0.0010727333. Bit fail 0.
# Train MSE: 0.00107273
# Test MSE: 0.00139097
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.2212587297. Bit fail 145.
Epochs 200. Current error: 0.0013105422. Bit fail 0.
Epochs 400. Current error: 0.0012445756. Bit fail 0.
Epochs 600. Current error: 0.0011992905. Bit fail 0.
Epochs 800. Current error: 0.0011571933. Bit fail 0.
Epochs 1000. Current error: 0.0011399058. Bit fail 0.
# Train MSE: 0.00113991
# Test MSE: 0.00128937
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.2291485369. Bit fail 145.
Epochs 200. Current error: 0.0011292240. Bit fail 0.
Epochs 400. Current error: 0.0010930764. Bit fail 0.
Epochs 600. Current error: 0.0010830812. Bit fail 0.
Epochs 800. Current error: 0.0010745482. Bit fail 0.
Epochs 1000. Current error: 0.0010675805. Bit fail 0.
# Train MSE: 0.00106758
# Test MSE: 0.00143383
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.1942228526. Bit fail 136.
Epochs 200. Current error: 0.0011710388. Bit fail 0.
Epochs 400. Current error: 0.0010980808. Bit fail 0.
Epochs 600. Current error: 0.0010828725. Bit fail 0.
Epochs 800. Current error: 0.0010720126. Bit fail 0.
Epochs 1000. Current error: 0.0010648255. Bit fail 0.
# Train MSE: 0.00106483
# Test MSE: 0.00139831
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.1973608285. Bit fail 140.
Epochs 200. Current error: 0.0012610264. Bit fail 0.
Epochs 400. Current error: 0.0012392345. Bit fail 0.
Epochs 600. Current error: 0.0012332592. Bit fail 0.
Epochs 800. Current error: 0.0012277758. Bit fail 0.
Epochs 1000. Current error: 0.0012212959. Bit fail 0.
# Train MSE: 0.0012213
# Test MSE: 0.00141511
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.2021278739. Bit fail 140.
Epochs 200. Current error: 0.0009943551. Bit fail 0.
Epochs 400. Current error: 0.0009036774. Bit fail 0.
Epochs 600. Current error: 0.0007608301. Bit fail 0.
Epochs 800. Current error: 0.0005157616. Bit fail 0.
Epochs 1000. Current error: 0.0003755380. Bit fail 0.
# Train MSE: 0.000375538
# Test MSE: 0.00046193
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.2051638365. Bit fail 142.
Epochs 200. Current error: 0.0012918946. Bit fail 0.
Epochs 400. Current error: 0.0012673335. Bit fail 0.
Epochs 600. Current error: 0.0012518179. Bit fail 0.
Epochs 800. Current error: 0.0012384080. Bit fail 0.
Epochs 1000. Current error: 0.0012121469. Bit fail 0.
# Train MSE: 0.00121215
# Test MSE: 0.00127098
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.2024800032. Bit fail 140.
Epochs 200. Current error: 0.0012948260. Bit fail 0.
Epochs 400. Current error: 0.0012568327. Bit fail 0.
Epochs 600. Current error: 0.0012432827. Bit fail 0.
Epochs 800. Current error: 0.0012384565. Bit fail 0.
Epochs 1000. Current error: 0.0012355816. Bit fail 0.
# Train MSE: 0.00123558
# Test MSE: 0.00139375
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.1962524056. Bit fail 140.
Epochs 200. Current error: 0.0011555990. Bit fail 0.
Epochs 400. Current error: 0.0010279424. Bit fail 0.
Epochs 600. Current error: 0.0009091077. Bit fail 0.
Epochs 800. Current error: 0.0007156488. Bit fail 0.
Epochs 1000. Current error: 0.0004438252. Bit fail 0.
# Train MSE: 0.000443825
# Test MSE: 0.000525787
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.2189458162. Bit fail 145.
Epochs 200. Current error: 0.0011019530. Bit fail 0.
Epochs 400. Current error: 0.0009268741. Bit fail 0.
Epochs 600. Current error: 0.0007396390. Bit fail 0.
Epochs 800. Current error: 0.0004900806. Bit fail 0.
Epochs 1000. Current error: 0.0003676661. Bit fail 0.
# Train MSE: 0.000367666
# Test MSE: 0.000452792
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.2108815461. Bit fail 143.
Epochs 200. Current error: 0.0012965092. Bit fail 0.
Epochs 400. Current error: 0.0012782876. Bit fail 0.
Epochs 600. Current error: 0.0012607272. Bit fail 0.
Epochs 800. Current error: 0.0012452360. Bit fail 0.
Epochs 1000. Current error: 0.0012258905. Bit fail 0.
# Train MSE: 0.00122589
# Test MSE: 0.00127847
# config: 6->2->1
# epochs: 1000
# run: 10
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.2279723883. Bit fail 148.
Epochs 200. Current error: 0.0011585911. Bit fail 0.
Epochs 400. Current error: 0.0011054643. Bit fail 0.
Epochs 600. Current error: 0.0009128349. Bit fail 0.
Epochs 800. Current error: 0.0007600565. Bit fail 0.
Epochs 1000. Current error: 0.0006565140. Bit fail 0.
# Train MSE: 0.000656514
# Test MSE: 0.00118716
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.1923133880. Bit fail 144.
Epochs 200. Current error: 0.0010584908. Bit fail 0.
Epochs 400. Current error: 0.0007733743. Bit fail 0.
Epochs 600. Current error: 0.0005818155. Bit fail 0.
Epochs 800. Current error: 0.0004061093. Bit fail 0.
Epochs 1000. Current error: 0.0002874503. Bit fail 0.
# Train MSE: 0.00028745
# Test MSE: 0.000411404
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.2008233964. Bit fail 145.
Epochs 200. Current error: 0.0011116094. Bit fail 0.
Epochs 400. Current error: 0.0007634556. Bit fail 0.
Epochs 600. Current error: 0.0005306192. Bit fail 0.
Epochs 800. Current error: 0.0003759703. Bit fail 0.
Epochs 1000. Current error: 0.0002676212. Bit fail 0.
# Train MSE: 0.000267621
# Test MSE: 0.000393261
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.2025561482. Bit fail 145.
Epochs 200. Current error: 0.0011078131. Bit fail 0.
Epochs 400. Current error: 0.0007172123. Bit fail 0.
Epochs 600. Current error: 0.0004378003. Bit fail 0.
Epochs 800. Current error: 0.0003199134. Bit fail 0.
Epochs 1000. Current error: 0.0002611598. Bit fail 0.
# Train MSE: 0.00026116
# Test MSE: 0.000387357
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.1933744997. Bit fail 144.
Epochs 200. Current error: 0.0011707783. Bit fail 0.
Epochs 400. Current error: 0.0008312555. Bit fail 0.
Epochs 600. Current error: 0.0006165099. Bit fail 0.
Epochs 800. Current error: 0.0004883414. Bit fail 0.
Epochs 1000. Current error: 0.0003349743. Bit fail 0.
# Train MSE: 0.000334974
# Test MSE: 0.000533557
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.2009947449. Bit fail 145.
Epochs 200. Current error: 0.0010476840. Bit fail 0.
Epochs 400. Current error: 0.0007444309. Bit fail 0.
Epochs 600. Current error: 0.0005089564. Bit fail 0.
Epochs 800. Current error: 0.0003540316. Bit fail 0.
Epochs 1000. Current error: 0.0002710694. Bit fail 0.
# Train MSE: 0.000271069
# Test MSE: 0.000393287
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.2287511975. Bit fail 148.
Epochs 200. Current error: 0.0011550679. Bit fail 0.
Epochs 400. Current error: 0.0010392339. Bit fail 0.
Epochs 600. Current error: 0.0008219364. Bit fail 0.
Epochs 800. Current error: 0.0006930982. Bit fail 0.
Epochs 1000. Current error: 0.0005757033. Bit fail 0.
# Train MSE: 0.000575703
# Test MSE: 0.00102116
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.2195748091. Bit fail 148.
Epochs 200. Current error: 0.0011304873. Bit fail 0.
Epochs 400. Current error: 0.0009719064. Bit fail 0.
Epochs 600. Current error: 0.0007520535. Bit fail 0.
Epochs 800. Current error: 0.0005945322. Bit fail 0.
Epochs 1000. Current error: 0.0004601510. Bit fail 0.
# Train MSE: 0.000460151
# Test MSE: 0.000794507
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.2058687657. Bit fail 145.
Epochs 200. Current error: 0.0011520121. Bit fail 0.
Epochs 400. Current error: 0.0008359016. Bit fail 0.
Epochs 600. Current error: 0.0006387435. Bit fail 0.
Epochs 800. Current error: 0.0005428510. Bit fail 0.
Epochs 1000. Current error: 0.0004562787. Bit fail 0.
# Train MSE: 0.000456279
# Test MSE: 0.000791794
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.2278976142. Bit fail 148.
Epochs 200. Current error: 0.0011844246. Bit fail 0.
Epochs 400. Current error: 0.0010115022. Bit fail 0.
Epochs 600. Current error: 0.0007548053. Bit fail 0.
Epochs 800. Current error: 0.0006256025. Bit fail 0.
Epochs 1000. Current error: 0.0005535498. Bit fail 0.
# Train MSE: 0.00055355
# Test MSE: 0.000962769
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.2079119235. Bit fail 145.
Epochs 200. Current error: 0.0010782076. Bit fail 0.
Epochs 400. Current error: 0.0006442952. Bit fail 0.
Epochs 600. Current error: 0.0004578983. Bit fail 0.
Epochs 800. Current error: 0.0003171136. Bit fail 0.
Epochs 1000. Current error: 0.0002533296. Bit fail 0.
# Train MSE: 0.00025333
# Test MSE: 0.000394025
# config: 6->2->1
# epochs: 1000
# run: 11
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.2198899835. Bit fail 143.
Epochs 200. Current error: 0.0011270184. Bit fail 0.
Epochs 400. Current error: 0.0010935651. Bit fail 0.
Epochs 600. Current error: 0.0010750088. Bit fail 0.
Epochs 800. Current error: 0.0010579106. Bit fail 0.
Epochs 1000. Current error: 0.0010471616. Bit fail 0.
# Train MSE: 0.00104716
# Test MSE: 0.00161802
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.2095424384. Bit fail 142.
Epochs 200. Current error: 0.0012438240. Bit fail 0.
Epochs 400. Current error: 0.0009303560. Bit fail 0.
Epochs 600. Current error: 0.0007701457. Bit fail 0.
Epochs 800. Current error: 0.0005381347. Bit fail 0.
Epochs 1000. Current error: 0.0003705857. Bit fail 0.
# Train MSE: 0.000370586
# Test MSE: 0.000582638
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.2270131111. Bit fail 146.
Epochs 200. Current error: 0.0010574851. Bit fail 0.
Epochs 400. Current error: 0.0007792850. Bit fail 0.
Epochs 600. Current error: 0.0005806561. Bit fail 0.
Epochs 800. Current error: 0.0003660083. Bit fail 0.
Epochs 1000. Current error: 0.0003056556. Bit fail 0.
# Train MSE: 0.000305656
# Test MSE: 0.000471671
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.1695091277. Bit fail 130.
Epochs 200. Current error: 0.0012509436. Bit fail 0.
Epochs 400. Current error: 0.0012254427. Bit fail 0.
Epochs 600. Current error: 0.0011966967. Bit fail 0.
Epochs 800. Current error: 0.0011809611. Bit fail 0.
Epochs 1000. Current error: 0.0011634029. Bit fail 0.
# Train MSE: 0.0011634
# Test MSE: 0.0014833
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.2046303451. Bit fail 139.
Epochs 200. Current error: 0.0012972557. Bit fail 0.
Epochs 400. Current error: 0.0012294817. Bit fail 0.
Epochs 600. Current error: 0.0012154924. Bit fail 0.
Epochs 800. Current error: 0.0012047508. Bit fail 0.
Epochs 1000. Current error: 0.0011941351. Bit fail 0.
# Train MSE: 0.00119414
# Test MSE: 0.00171169
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.2014360428. Bit fail 139.
Epochs 200. Current error: 0.0011271858. Bit fail 0.
Epochs 400. Current error: 0.0007381618. Bit fail 0.
Epochs 600. Current error: 0.0004919150. Bit fail 0.
Epochs 800. Current error: 0.0003458807. Bit fail 0.
Epochs 1000. Current error: 0.0003093570. Bit fail 0.
# Train MSE: 0.000309357
# Test MSE: 0.00044951
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.2251233608. Bit fail 146.
Epochs 200. Current error: 0.0011177209. Bit fail 0.
Epochs 400. Current error: 0.0010813224. Bit fail 0.
Epochs 600. Current error: 0.0009842796. Bit fail 0.
Epochs 800. Current error: 0.0007198075. Bit fail 0.
Epochs 1000. Current error: 0.0004564524. Bit fail 0.
# Train MSE: 0.000456452
# Test MSE: 0.00070822
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.1992646605. Bit fail 139.
Epochs 200. Current error: 0.0013275839. Bit fail 0.
Epochs 400. Current error: 0.0012515656. Bit fail 0.
Epochs 600. Current error: 0.0010882572. Bit fail 0.
Epochs 800. Current error: 0.0008496526. Bit fail 0.
Epochs 1000. Current error: 0.0006655448. Bit fail 0.
# Train MSE: 0.000665545
# Test MSE: 0.000857793
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.1966899782. Bit fail 138.
Epochs 200. Current error: 0.0011912377. Bit fail 0.
Epochs 400. Current error: 0.0009800185. Bit fail 0.
Epochs 600. Current error: 0.0005255861. Bit fail 0.
Epochs 800. Current error: 0.0003442065. Bit fail 0.
Epochs 1000. Current error: 0.0003103609. Bit fail 0.
# Train MSE: 0.000310361
# Test MSE: 0.000500461
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.2117581218. Bit fail 143.
Epochs 200. Current error: 0.0012331308. Bit fail 0.
Epochs 400. Current error: 0.0011863210. Bit fail 0.
Epochs 600. Current error: 0.0011706260. Bit fail 0.
Epochs 800. Current error: 0.0011403786. Bit fail 0.
Epochs 1000. Current error: 0.0010937990. Bit fail 0.
# Train MSE: 0.0010938
# Test MSE: 0.00132259
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.2031160146. Bit fail 139.
Epochs 200. Current error: 0.0010691884. Bit fail 0.
Epochs 400. Current error: 0.0008110945. Bit fail 0.
Epochs 600. Current error: 0.0005649853. Bit fail 0.
Epochs 800. Current error: 0.0003565194. Bit fail 0.
Epochs 1000. Current error: 0.0002842932. Bit fail 0.
# Train MSE: 0.000284293
# Test MSE: 0.000429752
# config: 6->2->1
# epochs: 1000
# run: 12
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.1702911556. Bit fail 131.
Epochs 200. Current error: 0.0011263780. Bit fail 0.
Epochs 400. Current error: 0.0010428033. Bit fail 0.
Epochs 600. Current error: 0.0009632778. Bit fail 0.
Epochs 800. Current error: 0.0009350756. Bit fail 0.
Epochs 1000. Current error: 0.0009164828. Bit fail 0.
# Train MSE: 0.000916483
# Test MSE: 0.00110602
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.2103434056. Bit fail 144.
Epochs 200. Current error: 0.0011271941. Bit fail 0.
Epochs 400. Current error: 0.0010994086. Bit fail 0.
Epochs 600. Current error: 0.0010831067. Bit fail 0.
Epochs 800. Current error: 0.0010750920. Bit fail 0.
Epochs 1000. Current error: 0.0010694645. Bit fail 0.
# Train MSE: 0.00106946
# Test MSE: 0.00144518
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.1908775270. Bit fail 139.
Epochs 200. Current error: 0.0011856693. Bit fail 0.
Epochs 400. Current error: 0.0011736954. Bit fail 0.
Epochs 600. Current error: 0.0008887597. Bit fail 0.
Epochs 800. Current error: 0.0005614986. Bit fail 0.
Epochs 1000. Current error: 0.0003914152. Bit fail 0.
# Train MSE: 0.000391415
# Test MSE: 0.000425034
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.2246400267. Bit fail 146.
Epochs 200. Current error: 0.0011645271. Bit fail 0.
Epochs 400. Current error: 0.0011499311. Bit fail 0.
Epochs 600. Current error: 0.0011370360. Bit fail 0.
Epochs 800. Current error: 0.0011299537. Bit fail 0.
Epochs 1000. Current error: 0.0011248064. Bit fail 0.
# Train MSE: 0.00112481
# Test MSE: 0.00139051
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.2014681697. Bit fail 144.
Epochs 200. Current error: 0.0011643067. Bit fail 0.
Epochs 400. Current error: 0.0011467823. Bit fail 0.
Epochs 600. Current error: 0.0011392204. Bit fail 0.
Epochs 800. Current error: 0.0011325170. Bit fail 0.
Epochs 1000. Current error: 0.0011282302. Bit fail 0.
# Train MSE: 0.00112823
# Test MSE: 0.00138277
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.2061772794. Bit fail 144.
Epochs 200. Current error: 0.0011057918. Bit fail 0.
Epochs 400. Current error: 0.0008151110. Bit fail 0.
Epochs 600. Current error: 0.0006580522. Bit fail 0.
Epochs 800. Current error: 0.0004945798. Bit fail 0.
Epochs 1000. Current error: 0.0003425571. Bit fail 0.
# Train MSE: 0.000342557
# Test MSE: 0.000379971
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.2386851013. Bit fail 148.
Epochs 200. Current error: 0.0011722705. Bit fail 0.
Epochs 400. Current error: 0.0011646249. Bit fail 0.
Epochs 600. Current error: 0.0011581209. Bit fail 0.
Epochs 800. Current error: 0.0011425511. Bit fail 0.
Epochs 1000. Current error: 0.0011323651. Bit fail 0.
# Train MSE: 0.00113237
# Test MSE: 0.00137697
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.1813165396. Bit fail 135.
Epochs 200. Current error: 0.0011395226. Bit fail 0.
Epochs 400. Current error: 0.0011079768. Bit fail 0.
Epochs 600. Current error: 0.0010876815. Bit fail 0.
Epochs 800. Current error: 0.0010774558. Bit fail 0.
Epochs 1000. Current error: 0.0010698648. Bit fail 0.
# Train MSE: 0.00106986
# Test MSE: 0.00144431
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.1787709147. Bit fail 134.
Epochs 200. Current error: 0.0011645826. Bit fail 0.
Epochs 400. Current error: 0.0011464793. Bit fail 0.
Epochs 600. Current error: 0.0011333964. Bit fail 0.
Epochs 800. Current error: 0.0011280909. Bit fail 0.
Epochs 1000. Current error: 0.0011259622. Bit fail 0.
# Train MSE: 0.00112596
# Test MSE: 0.00138644
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.2198416144. Bit fail 145.
Epochs 200. Current error: 0.0011600129. Bit fail 0.
Epochs 400. Current error: 0.0011297400. Bit fail 0.
Epochs 600. Current error: 0.0011099320. Bit fail 0.
Epochs 800. Current error: 0.0010539644. Bit fail 0.
Epochs 1000. Current error: 0.0010228324. Bit fail 0.
# Train MSE: 0.00102283
# Test MSE: 0.00151742
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.1959032863. Bit fail 142.
Epochs 200. Current error: 0.0011519814. Bit fail 0.
Epochs 400. Current error: 0.0011378584. Bit fail 0.
Epochs 600. Current error: 0.0011134275. Bit fail 0.
Epochs 800. Current error: 0.0010838043. Bit fail 0.
Epochs 1000. Current error: 0.0010709844. Bit fail 0.
# Train MSE: 0.00107098
# Test MSE: 0.00137221
# config: 6->2->1
# epochs: 1000
# run: 13
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.1955578625. Bit fail 143.
Epochs 200. Current error: 0.0013351348. Bit fail 0.
Epochs 400. Current error: 0.0013237908. Bit fail 0.
Epochs 600. Current error: 0.0013194591. Bit fail 0.
Epochs 800. Current error: 0.0013177127. Bit fail 0.
Epochs 1000. Current error: 0.0013163147. Bit fail 0.
# Train MSE: 0.00131631
# Test MSE: 0.00141682
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.2113898396. Bit fail 144.
Epochs 200. Current error: 0.0013753680. Bit fail 0.
Epochs 400. Current error: 0.0013205401. Bit fail 0.
Epochs 600. Current error: 0.0011551544. Bit fail 0.
Epochs 800. Current error: 0.0010828516. Bit fail 0.
Epochs 1000. Current error: 0.0010167016. Bit fail 0.
# Train MSE: 0.0010167
# Test MSE: 0.00113733
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.1623284221. Bit fail 128.
Epochs 200. Current error: 0.0013507818. Bit fail 0.
Epochs 400. Current error: 0.0013340552. Bit fail 0.
Epochs 600. Current error: 0.0013284342. Bit fail 0.
Epochs 800. Current error: 0.0013234257. Bit fail 0.
Epochs 1000. Current error: 0.0013169438. Bit fail 0.
# Train MSE: 0.00131694
# Test MSE: 0.00139731
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.1836323738. Bit fail 139.
Epochs 200. Current error: 0.0011701778. Bit fail 0.
Epochs 400. Current error: 0.0008252462. Bit fail 0.
Epochs 600. Current error: 0.0005069511. Bit fail 0.
Epochs 800. Current error: 0.0003181771. Bit fail 0.
Epochs 1000. Current error: 0.0002640951. Bit fail 0.
# Train MSE: 0.000264095
# Test MSE: 0.000277077
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.1832516044. Bit fail 139.
Epochs 200. Current error: 0.0012855136. Bit fail 0.
Epochs 400. Current error: 0.0008245640. Bit fail 0.
Epochs 600. Current error: 0.0006905076. Bit fail 0.
Epochs 800. Current error: 0.0004910643. Bit fail 0.
Epochs 1000. Current error: 0.0004260156. Bit fail 0.
# Train MSE: 0.000426016
# Test MSE: 0.000554443
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.2116060704. Bit fail 144.
Epochs 200. Current error: 0.0013302866. Bit fail 0.
Epochs 400. Current error: 0.0012741932. Bit fail 0.
Epochs 600. Current error: 0.0011858951. Bit fail 0.
Epochs 800. Current error: 0.0007403566. Bit fail 0.
Epochs 1000. Current error: 0.0004223073. Bit fail 0.
# Train MSE: 0.000422307
# Test MSE: 0.000450171
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.2144240290. Bit fail 144.
Epochs 200. Current error: 0.0013565480. Bit fail 0.
Epochs 400. Current error: 0.0013376072. Bit fail 0.
Epochs 600. Current error: 0.0013246656. Bit fail 0.
Epochs 800. Current error: 0.0013007441. Bit fail 0.
Epochs 1000. Current error: 0.0008612177. Bit fail 0.
# Train MSE: 0.000861218
# Test MSE: 0.000911166
# Training: 2
Max epochs 1000. Desired error: 0.0000010000.
Epochs 1. Current error: 0.2071032971. Bit fail 144.