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Prototype generic nas model (cont.) for GDAS.

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This commit is contained in:
D-X-Y
2020-07-20 08:45:41 +00:00
parent 5cf66d24a1
commit 8d27050f6f
2 changed files with 22 additions and 9 deletions
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8
exps/algos-v2/search-cell.py
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@@ -377,8 +377,7 @@ def main(xargs):
start_epoch = last_info['epoch']
checkpoint = torch.load(last_info['last_checkpoint'])
genotypes = checkpoint['genotypes']
if xargs.algo == 'enas':
baseline = checkpoint['baseline']
baseline = checkpoint['baseline']
valid_accuracies = checkpoint['valid_accuracies']
search_model.load_state_dict( checkpoint['search_model'] )
w_scheduler.load_state_dict ( checkpoint['w_scheduler'] )
@@ -401,7 +400,7 @@ def main(xargs):
network.set_drop_path(float(epoch+1) / total_epoch, xargs.drop_path_rate)
if xargs.algo == 'gdas':
network.set_tau( xargs.tau_max - (xargs.tau_max-xargs.tau_min) * epoch / (total_epoch-1) )
logger.log('[Reset tau as : {:}'.format(network.tau))
logger.log('[RESET tau as : {:} and drop_path as {:}]'.format(network.tau, network.drop_path))
search_w_loss, search_w_top1, search_w_top5, search_a_loss, search_a_top1, search_a_top5 \
= search_func(search_loader, network, criterion, w_scheduler, w_optimizer, a_optimizer, epoch_str, xargs.print_freq, xargs.algo, logger)
search_time.update(time.time() - start_time)
@@ -423,6 +422,7 @@ def main(xargs):
network.set_cal_mode('urs', None)
else:
raise ValueError('Invalid algorithm name : {:}'.format(xargs.algo))
logger.log('[{:}] - [get_best_arch] : {:} -> {:}'.format(epoch_str, genotype, temp_accuracy))
valid_a_loss , valid_a_top1 , valid_a_top5 = valid_func(valid_loader, network, criterion, xargs.algo, logger)
logger.log('[{:}] evaluate : loss={:.2f}, accuracy@1={:.2f}%, accuracy@5={:.2f}% | {:}'.format(epoch_str, valid_a_loss, valid_a_top1, valid_a_top5, genotype))
valid_accuracies[epoch] = valid_a_top1
@@ -494,7 +494,7 @@ if __name__ == '__main__':
parser.add_argument('--eval_candidate_num', type=int, default=100, help='The number of selected architectures to evaluate.')
#
parser.add_argument('--track_running_stats',type=int, default=0, choices=[0,1],help='Whether use track_running_stats or not in the BN layer.')
parser.add_argument('--affine' , type=int, default=1, choices=[0,1],help='Whether use affine=True or False in the BN layer.')
parser.add_argument('--affine' , type=int, default=0, choices=[0,1],help='Whether use affine=True or False in the BN layer.')
parser.add_argument('--config_path' , type=str, default='./configs/nas-benchmark/algos/weight-sharing.config', help='The path of configuration.')
# architecture leraning rate
parser.add_argument('--arch_learning_rate', type=float, default=3e-4, help='learning rate for arch encoding')