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		| @@ -104,7 +104,8 @@ def main(xargs): | ||||
|   search_space = get_search_spaces('cell', xargs.search_space_name) | ||||
|   model_config = dict2config({'name': 'GDAS', 'C': xargs.channel, 'N': xargs.num_cells, | ||||
|                               'max_nodes': xargs.max_nodes, 'num_classes': class_num, | ||||
|                               'space'    : search_space}, None) | ||||
|                               'space'    : search_space, | ||||
|                               'affine'   : False, 'track_running_stats': True}, None) | ||||
|   search_model = get_cell_based_tiny_net(model_config) | ||||
|   logger.log('search-model :\n{:}'.format(search_model)) | ||||
|    | ||||
| @@ -194,7 +195,7 @@ def main(xargs): | ||||
|  | ||||
|   logger.log('\n' + '-'*100) | ||||
|   # check the performance from the architecture dataset | ||||
|   logger.log('DARTS-V1 : run {:} epochs, cost {:.1f} s, last-geno is {:}.'.format(total_epoch, search_time.sum, genotypes[total_epoch-1])) | ||||
|   logger.log('GDAS : run {:} epochs, cost {:.1f} s, last-geno is {:}.'.format(total_epoch, search_time.sum, genotypes[total_epoch-1])) | ||||
|   if api is not None: logger.log('{:}'.format( api.query_by_arch(genotypes[total_epoch-1]) )) | ||||
|   logger.close() | ||||
|    | ||||
|   | ||||
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