random-stuff/initialize_nnsql.py

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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()