58 lines
1.1 KiB
Python
58 lines
1.1 KiB
Python
from network import Network
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import tensorflow as tf
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import random
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import numpy as np
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from board import Board
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import main
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config = main.config.copy()
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config['model'] = "eager_testings"
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config['force_creation'] = True
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config['board_representation'] = 'quack-fat'
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network = Network(config, config['model'])
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network.restore_model()
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initial_state = Board.initial_state
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initial_state_1 = ( 0,
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0, 0, 0, 2, 0, -5,
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0, -3, 0, 0, 0, 0,
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-5, 0, 0, 0, 3, 5,
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0, 0, 0, 0, 5, -2,
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0 )
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initial_state_2 = ( 0,
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-5, -5, -3, -2, 0, 0,
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0, 0, 0, 0, 0, 0,
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0, 0, 0, 15, 0, 0,
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0, 0, 0, 0, 0, 0,
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0 )
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boards = {initial_state,
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initial_state_1,
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initial_state_2 }
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board = network.board_trans_func(Board.initial_state, 1)
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pair = network.make_move(Board.initial_state, [3,2], 1)
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print(pair[1])
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network.do_backprop(board, 0.9)
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network.print_variables()
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network.save_model(2)
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print(network.calculate_1_ply(Board.initial_state, [3,2], 1)) |