mirror of
https://github.com/osmarks/random-stuff
synced 2024-11-08 13:39:53 +00:00
24 lines
1.7 MiB
24 lines
1.7 MiB
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hiddenBias = [-0.12119200825691223, -0.4320903420448303, 0.16360077261924744, -0.024315910413861275, 0.318928062915802, 0.28024089336395264, -0.11023423820734024, 0.1976889669895172, 0.5035359859466553, -0.12433239072561264, 0.4639778137207031, 0.4027350842952728, 0.12333646416664124, -0.25493040680885315, -0.02231675200164318, 0.1948857307434082, -0.4754638671875, 0.16065751016139984, -0.23279736936092377, 0.1479167342185974, 0.009400470182299614, 0.47699084877967834, 0.08560270071029663, 0.292190283536911, -0.3599409759044647, 0.058879803866147995, 0.11652722209692001, 0.017723476514220238, 0.31027185916900635, 0.42517009377479553, -0.16898401081562042, 0.0004393960989546031, 0.3184901475906372, -0.3918144702911377, 0.6982641816139221, 0.19490303099155426, -0.043992869555950165, 0.5211102962493896, 0.27624088525772095, 0.18817909061908722, 0.0014870389131829143, 0.23174692690372467, -0.3168533742427826, -0.41062405705451965, -0.11928929388523102, 0.36713600158691406, -0.22957241535186768, 0.03572351485490799, -0.42685163021087646, -0.005996388848870993, 0.0681905448436737, -0.18357662856578827, -0.4264618456363678, -0.10152142494916916, 0.08709192276000977, 0.5503253936767578, -0.18714933097362518, -0.395602285861969, 0.44956478476524353, -0.015746744349598885, -0.17238160967826843, 0.1827181577682495, 0.4743066430091858, 0.6574476957321167, 0.38722914457321167, -0.16221420466899872, -0.22226335108280182, 0.566750705242157, 0.31580430269241333, -0.029436055570840836, -0.09957416355609894, -0.05943959951400757, -0.4640403985977173, -0.41787704825401306, -0.019030319526791573, -0.2625054717063904, -0.03521683067083359, -0.5692240595817566, 0.030449818819761276, -0.8333264589309692, -0.0997619777917862, 0.33173683285713196, 0.023881589993834496, -0.4496639668941498, 0.1895037442445755, 0.03452831134200096, -0.4834495484828949, 0.26014867424964905, -0.4918281137943268, 0.21658116579055786, -0.019057705998420715, -0.29834115505218506, -0.04869748279452324, 0.17696478962898254, -0.15104009211063385, -0.7326403856277466, 0.2771260142326355, -0.11435204744338989, 0.7235895395278931, 0.31815558671951294, -0.49658554792404175, 0.170261412858963, -0.35118937492370605, -0.0026072559412568808, 0.3665490448474884, -0.16517239809036255, 0.2335260808467865, 0.16591136157512665, 0.12471108138561249, -0.21304485201835632, 0.7565355896949768, 0.5610060691833496, 0.33956265449523926, 0.36495935916900635, 0.05180160328745842, -0.6422286629676819, 0.24114453792572021, -0.38803631067276, -0.029255546629428864, -0.08472876995801926, 0.4624996781349182, 0.8540431261062622, -0.19887351989746094, -0.24511770904064178, -0.09459339827299118, -0.07290452718734741, 0.069530189037323, -0.3269287943840027, 0.29990383982658386, -0.2062879204750061, 0.04589494317770004, 0.40371009707450867, 0.2186051905155182, -0.00915728323161602, 0.944208562374115, 0.02223058231174946, 0.3416841924190521, -0.1464000791311264, -0.36764127016067505, -0.24689121544361115, -0.15031121671199799, -0.4667811989784241, -0.3748229444026947, 0.050587594509124756, -0.212965190410614, -0.24506749212741852, -0.3570350408554077, -0.09480604529380798, -0.08399725705385208, -0.07389301061630249, 0.2477569729089737, -0.4943859875202179, 0.21521520614624023, -0.14873568713665009, 0.24749773740768433, 0.15940918028354645, -0.4732681214809418, 1.1500868797302246, -0.05571204796433449, 0.11321435868740082, 0.05533626675605774, -0.10508105903863907, 0.1509464979171753, -0.1316273957490921, -0.1409706324338913, -0.6401874423027039, 0.07622697204351425, -0.02066471241414547, 0.026243390515446663, -0.3827364444732666, -0.056412018835544586, 0.5131473541259766, -0.1578075885772705, 0.02683178335428238, 0.3737300634384155, 0.269226998090744, 0.05207091569900513, 0.0038901555817574263, -0.059790484607219696, 0.24472108483314514, 0.02900165133178234, 0.38514867424964905, 0.059309568256139755, -0.06608220934867859, 0.7094714045524597, 0.30065619945526123, 0.2561238706111908, -0.6245588064193726, 0.12549398839473724, 0.16537179052829742, -0.17407894134521484, 0.29258841276168823, -0.2057512253522873, 0.12592479586601257, -0.13023057579994202, -0.9442114233970642, 0.3103829324245453, 0.41151106357574463, -0.13051091134548187, -0.2560710906982422, 0.5063381791114807, 0.245778426527977, -0.0909273698925972, -0.01295003853738308, -0.03543900325894356, -0.09522618353366852, 0.05559632554650307, 0.41493257880210876, 0.34701067209243774, 0.3603726029396057, 0.8147027492523193, 0.5282593369483948, -0.12134373188018799, -0.16668663918972015, -0.15000194311141968, 0.028442131355404854, 0.04981180280447006, 0.08199391514062881, -0.1215803250670433, -0.009129812009632587, 0.12319072335958481, -0.22715942561626434, -0.0439898744225502, 0.3909992277622223, -0.32664042711257935, 0.18921226263046265, 0.08403586596250534, -0.3656195402145386, -0.6538853049278259, -0.6281121373176575, 0.18768808245658875, -0.3358302712440491, -0.332994669675827, -0.11146729439496994, 0.3513216972351074, 0.20511022210121155, -0.4514368772506714, 0.42106395959854126, -0.4724952280521393, 0.35859474539756775, -0.2770954668521881, -0.020831327885389328, -0.19145646691322327, -0.1986144483089447, 0.19923116266727448, 0.3429737091064453, 0.2780303359031677, -0.37758925557136536, -0.08119022846221924, 0.36074256896972656, 0.18353813886642456, 0.1272091567516327, 0.02147340029478073, 0.5132419466972351, 0.24231310188770294, 0.24474278092384338]
|
|
outputBias = [-0.18638470768928528, -0.1896393597126007, -0.1889890730381012, -0.19049835205078125, -0.18795514106750488, -0.18933545053005219, -0.19069159030914307, -0.18700024485588074, -0.18877221643924713, -0.19134320318698883, -0.19095942378044128, -0.18640364706516266, -0.1892036348581314, -0.18770746886730194, 1.2487244606018066, -0.18736907839775085, -0.1877896934747696, -0.18898238241672516, -0.1888350248336792, -0.1865197867155075, -0.18802186846733093, -0.18859650194644928, -0.19018925726413727, 1.5589599609375, -0.18677210807800293, -0.18892286717891693, -0.11103861778974533, -0.18899531662464142, 1.566094994544983, -0.18721932172775269, 0.8411797285079956, -0.18822908401489258]
|
|
|
|
print(len(inputToHidden), len(inputToHidden[0]), [ r[4] for r in inputToHidden ])
|
|
raise SystemExit
|
|
import sqlite3
|
|
conn = sqlite3.connect("tacnet.sqlite3")
|
|
def insert2d(data, tab):
|
|
rows = []
|
|
for y, mrow in enumerate(data):
|
|
for x, mcol in enumerate(mrow):
|
|
rows.append((x, y, mcol))
|
|
conn.executemany(f"INSERT INTO {tab} (x, y, parameter) VALUES (?, ?, ?)", rows)
|
|
def insert1d(data, tab):
|
|
conn.executemany(f"INSERT INTO {tab} (x, parameter) VALUES (?, ?)", enumerate(data))
|
|
insert2d(inputToHidden, "input_to_hidden")
|
|
insert2d(hiddenToHidden, "hidden_to_hidden")
|
|
insert2d(hiddenToOutput, "hidden_to_output")
|
|
insert1d(hiddenBias, "hidden_bias")
|
|
insert1d(outputBias, "output_bias")
|
|
conn.commit() |