import os
import sys
import tensorflow as tf
from decode import decode
from train import get_config
# 0 is spanish 1 is english
mode = 0
if __name__ == '__main__':
enc_vocab_path_Eng = '/Users/smokey/LIGN165_finalproject/final/enc_vocab_English.txt'
dec_vocab_path_Eng = '/Users/smokey/LIGN165_finalproject/final/dec_vocab_English.txt'
enc_vocab_path_Sp = '/Users/smokey/LIGN165_finalproject/final/enc_vocab_Spanish.txt'
dec_vocab_path_Sp = '/Users/smokey/LIGN165_finalproject/final/dec_vocab_Spanish.txt'
if mode == 0:
gConfig = get_config('seq2seq_sp.ini')
decode(enc_vocab_path_Sp, dec_vocab_path_Sp)
elif mode:
gConfig = get_config('seq2seq.ini')
decode(enc_vocab_path_Eng, dec_vocab_path_Eng)
else:
# wrong way to execute "serve"
# Use : >> python ui/app.py
# uses seq2seq_serve.ini as conf file
print('Serve Usage : >> python ui/app.py')
print('# uses seq2seq_serve.ini as conf file')
from train import GenerateExperiment, get_config
config = get_config()
config.seq_length = 30 + 1
config.device = 'cpu'
exp = GenerateExperiment(config=config,
name='experiment',
n_epochs=1,
seed=42,
base_dir='./experiment_dir')
exp.run()
import submitit
from train import run, get_config
import copy
import numpy as np
import time
import os
args = get_config()
args.slurm = True
args.num_epochs = 100
NUM_CONFIG = 25
NUM_SEEDS = 100
partition = "learnfair"
total_time = 24 * 60
NAME = "video_only_2"
PROJECT_NAME = "crocodile"
args.resolution = 128
def run_with_logger(args):
from logger import ExpvizLogger
log_dir = os.path.join(
args.output_path,
"exp_%i_%i/" % (int(time.time()), np.random.randint(9999)))
logger = ExpvizLogger(projectname=PROJECT_NAME,
hyperparams=args,
log_dir=log_dir,
expname=NAME)
run(args, logger)