Python append_sys_path示例

示例#1

# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import argparse
import os
import sys
import pprint

from set_path import append_sys_path
append_sys_path()

import torch
import tube
from pytube import DataChannelManager
import minirts
from rnn_coach import ConvRnnCoach
from onehot_coach import ConvOneHotCoach
from rnn_generator import RnnGenerator

from executor_wrapper import ExecutorWrapper
from executor import Executor
from common_utils import to_device, ResultStat, Logger
from best_models import best_executors, best_coaches


def create_game(num_games,
                ai1_option,
                ai2_option,

示例#2

# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import argparse
import os
import sys
import pprint
from set_path import append_sys_path
append_sys_path()
import torch
import random
import tube
from pytube import DataChannelManager
from torch.utils.tensorboard import SummaryWriter
import minirts
import numpy as np
import pickle
from collections import defaultdict
import torch.optim as optim
from rnn_coach import ConvRnnCoach
from onehot_coach import ConvOneHotCoach
from rnn_generator import RnnGenerator
from itertools import groupby
from executor_wrapper import ExecutorWrapper
from executor import Executor
from common_utils import to_device, ResultStat, Logger
from best_models import best_executors, best_coaches

示例#3

文件： executor_selfplay.py 项目： apjacob/minirts

# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import argparse
import os
import sys
import pprint
from set_path import append_sys_path
append_sys_path()
import torch
import random
import tube
from agent import Agent
from pytube import DataChannelManager
from common_utils import StateActionBuffer
from torch.utils.tensorboard import SummaryWriter
import minirts
import numpy as np
import pickle
from collections import defaultdict
import torch.optim as optim
from rnn_coach import ConvRnnCoach
from onehot_coach import ConvOneHotCoach
from rnn_generator import RnnGenerator
from itertools import groupby
from executor_wrapper import ExecutorWrapper
from executor import Executor

示例#4

文件： create_envs.py 项目： xmgfx/hanabi_SAD

# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import set_path

set_path.append_sys_path()

import os
import pprint

import torch
import rela
import hanalearn

assert rela.__file__.endswith(".so")
assert hanalearn.__file__.endswith(".so")


def create_train_env(
    method,
    seed,
    num_thread,
    num_game_per_thread,
    actor_cons,
    max_len,
    num_player,
    bomb,
    greedy_extra,

示例#5

文件： simple_mask_search.py 项目： apjacob/minirts

# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import argparse
import os
import sys
import pprint
from set_path import append_sys_path
append_sys_path()
import torch
import tube
from pytube import DataChannelManager
import minirts
import numpy as np
import random
import pickle
from collections import defaultdict
from rnn_coach import ConvRnnCoach
from onehot_coach import ConvOneHotCoach
from rnn_generator import RnnGenerator
from itertools import groupby
from executor_wrapper import ExecutorWrapper
from executor import Executor
from common_utils import to_device, ResultStat, Logger
from best_models import best_executors, best_coaches
from tqdm import tqdm
p1dict = defaultdict(list)

示例#6

# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import argparse
import os
import sys
import pprint
from set_path import append_sys_path
append_sys_path()
import torch
import random
import tube
from agent import Agent
from pytube import DataChannelManager
from common_utils import StateActionBuffer
from torch.utils.tensorboard import SummaryWriter
import minirts
import numpy as np
import pickle
from collections import defaultdict
import torch.optim as optim
from rnn_coach import ConvRnnCoach
from onehot_coach import ConvOneHotCoach
from rnn_generator import RnnGenerator
from itertools import groupby
from executor_wrapper import ExecutorWrapper
from executor import Executor

示例#7

# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import argparse
import os
import sys
import pprint
from set_path import append_sys_path
append_sys_path()
import torch
import random
import tube
from agent import Agent
from pytube import DataChannelManager
from common_utils import StateActionBuffer
from torch.utils.tensorboard import SummaryWriter
import minirts
import numpy as np
import pickle
from collections import defaultdict
import torch.optim as optim
from rnn_coach import ConvRnnCoach
from onehot_coach import ConvOneHotCoach
from rnn_generator import RnnGenerator
from itertools import groupby
from executor_wrapper import ExecutorWrapper
from executor import Executor

示例#8

文件： sa_mask_search.py 项目： apjacob/minirts

# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import argparse
import os
import sys
import pprint
from set_path import append_sys_path
append_sys_path()
import torch
import tube
from pytube import DataChannelManager
import minirts
import numpy as np
import random
import time
from torch.utils.tensorboard import SummaryWriter
from simanneal.anneal import time_string
import pickle
from collections import defaultdict
from rnn_coach import ConvRnnCoach
from onehot_coach import ConvOneHotCoach
from rnn_generator import RnnGenerator
from itertools import groupby
from executor_wrapper import ExecutorWrapper
from executor import Executor
from common_utils import to_device, ResultStat, Logger

示例#9

# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import argparse
import os
import sys
import pprint
from set_path import append_sys_path
append_sys_path()
import torch
import random
import tube
from pytube import DataChannelManager
from torch.utils.tensorboard import SummaryWriter
import minirts
import numpy as np
import pickle
from collections import defaultdict
import torch.optim as optim
from rnn_coach import ConvRnnCoach
from onehot_coach import ConvOneHotCoach
from rnn_generator import RnnGenerator
from itertools import groupby
from executor_wrapper import ExecutorWrapper
from executor import Executor
from common_utils import to_device, ResultStat, Logger
from best_models import best_executors, best_coaches