| | |
|---|
| | | in the output directory. |
|---|
| | | """ |
|---|
| | | try: |
|---|
| | | checkpoint = torch.load(os.path.exists(os.path.join(output_dir, "model.pt")), map_location="cpu") |
|---|
| | | checkpoint = torch.load(os.path.join(output_dir, "model.pt"), map_location="cpu") |
|---|
| | | avg_keep_nbest_models_type = checkpoint["avg_keep_nbest_models_type"] |
|---|
| | | val_step_or_eoch = checkpoint[f"val_{avg_keep_nbest_models_type}_step_or_eoch"] |
|---|
| | | sorted_items = sorted(saved_ckpts.items(), key=lambda x: x[1], reverse=True) |
|---|
| | | sorted_items = sorted(val_step_or_eoch.items(), key=lambda x: x[1], reverse=True) |
|---|
| | | sorted_items = sorted_items[:last_n] if avg_keep_nbest_models_type == "acc" else sorted_items[-last_n:] |
|---|
| | | checkpoint_paths = [os.path.join(output_dir, key) for key, value in sorted_items[:last_n]] |
|---|
| | | except: |
|---|
