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fix flops counter bug in auto_pruners_torch.py #3265

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Jan 6, 2021
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fix flops counter bug in auto_pruners_torch.py #3265

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8 changes: 4 additions & 4 deletions examples/model_compress/pruning/auto_pruners_torch.py
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Original file line number Diff line number Diff line change
Expand Up @@ -186,7 +186,7 @@ def get_trained_model_optimizer(args, device, train_loader, val_loader, criterio

if args.save_model:
torch.save(state_dict, os.path.join(args.experiment_data_dir, 'model_trained.pth'))
print('Model trained saved to %s', args.experiment_data_dir)
print('Model trained saved to %s' % args.experiment_data_dir)

return model, optimizer

Expand Down Expand Up @@ -312,7 +312,7 @@ def evaluator(model):
if args.save_model:
pruner.export_model(
os.path.join(args.experiment_data_dir, 'model_masked.pth'), os.path.join(args.experiment_data_dir, 'mask.pth'))
print('Masked model saved to %s', args.experiment_data_dir)
print('Masked model saved to %s' % args.experiment_data_dir)

# model speed up
if args.speed_up:
Expand All @@ -336,7 +336,7 @@ def evaluator(model):
result['performance']['speedup'] = evaluation_result

torch.save(model.state_dict(), os.path.join(args.experiment_data_dir, 'model_speed_up.pth'))
print('Speed up model saved to %s', args.experiment_data_dir)
print('Speed up model saved to %s' % args.experiment_data_dir)
flops, params, _ = count_flops_params(model, get_input_size(args.dataset))
result['flops']['speedup'] = flops
result['params']['speedup'] = params
Expand Down Expand Up @@ -367,7 +367,7 @@ def evaluator(model):
torch.save(model.state_dict(), os.path.join(args.experiment_data_dir, 'model_fine_tuned.pth'))

print('Evaluation result (fine tuned): %s' % best_acc)
print('Fined tuned model saved to %s', args.experiment_data_dir)
print('Fined tuned model saved to %s' % args.experiment_data_dir)
result['performance']['finetuned'] = best_acc

with open(os.path.join(args.experiment_data_dir, 'result.json'), 'w+') as f:
Expand Down