Fixed n_ply and actually added a comma in main.py. *clap Christoffer*

This commit is contained in:
Alexander Munch-Hansen 2018-05-01 20:39:29 +02:00
parent c530aa688d
commit 695a3d43db
3 changed files with 53 additions and 7 deletions

View File

@ -53,7 +53,7 @@ config = {
'train_perpetually': args.train_perpetually,
'model_storage_path': 'models',
'bench_storage_path': 'bench',
'board_representation': 'quack'
'board_representation': 'quack',
'force_creation': args.force_creation
}

View File

@ -225,6 +225,9 @@ class Network:
(4, 4), (4, 5), (4, 6), (5, 5), (5, 6),
(6, 6) ]
# for roll in possible_rolls:
# print(len(Board.calculate_legal_states(board, player, roll)))
return [ Board.calculate_legal_states(board, player, roll)
for roll
in possible_rolls ]
@ -284,7 +287,7 @@ class Network:
in boards ]
average_score_pairs = [
(inner_boards[0], average_plain([ average_for_score_pairs(ply(n - 1, inner_board, player * -1))
(inner_boards[0], average_plain([ average_for_score_pairs(ply(n - 1, inner_board, player * -1 if n == 1 else player))
for inner_board
in inner_boards[1] ]))
for inner_boards

View File

@ -38,15 +38,58 @@ boards = {initial_state,
initial_state_2 }
def gen_21_rolls():
"""
Calculate all possible rolls, [[1,1], [1,2] ..]
:return: All possible rolls
"""
a = []
for x in range(1, 7):
for y in range(1, 7):
if not [x, y] in a and not [y, x] in a:
a.append([x, y])
return a
def calc_all_scores(board, player):
scores = []
trans_board = network.board_trans_func(board, player)
rolls = gen_21_rolls()
for roll in rolls:
score = network.eval_state(session, trans_board)
scores.append(score)
return scores
def calculate_possible_states(board):
possible_rolls = [(1, 1), (1, 2), (1, 3), (1, 4), (1, 5),
(1, 6), (2, 2), (2, 3), (2, 4), (2, 5),
(2, 6), (3, 3), (3, 4), (3, 5), (3, 6),
(4, 4), (4, 5), (4, 6), (5, 5), (5, 6),
(6, 6)]
for roll in possible_rolls:
meh = Board.calculate_legal_states(board, -1, roll)
print(len(meh))
return [Board.calculate_legal_states(board, -1, roll)
for roll
in possible_rolls]
#for board in boards:
# calculate_possible_states(board)
print("-"*30)
print(network.do_ply(session, boards, 1))
print(" "*10 + "network_test")
print(" "*20 + "Depth 1")
print(network.n_ply(1, session, boards, 1))
#print(" "*10 + "network_test")
#print(" "*20 + "Depth 1")
scores = network.n_ply(1, session, boards, 1)
print(" "*20 + "Depth 2")
print(network.n_ply(2, session, boards, 1))
#print(" "*20 + "Depth 2")
#print(network.n_ply(2, session, boards, 1))
# #print(x.shape)
# with graph_lol.as_default():