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import os
import argparse
import torch
from solver_2 import Solver
from data_loader import get_loader
from hparams_autopst import hparams, hparams_debug_string
def str2bool(v):
return v.lower() in ('true')
def main(config):
# Data loader
data_loader = get_loader(hparams)
# Solver for training
solver = Solver(data_loader, config, hparams)
solver.train()
if __name__ == '__main__':
parser = argparse.ArgumentParser()
# Training configuration.
parser.add_argument('--num_iters', type=int, default=1000000)
# Miscellaneous.
parser.add_argument('--device_id', type=int, default=0)
# Step size.
parser.add_argument('--log_step', type=int, default=10)
config = parser.parse_args()
print(config)
print(hparams_debug_string())
main(config) |