| """Standalone local decision inference (not an AIStudio Maya canvas component). |
| |
| Inside the exported checkpoint this file can be run directly with --checkpoint . |
| The actual HF architecture lives in modeling_autojev.py/configuration_autojev.py. |
| """ |
| import argparse |
| import json |
| from pathlib import Path |
| import torch |
| from transformers import AutoModel, AutoProcessor |
|
|
| if Path(__file__).with_name('decision_utils.py').is_file(): |
| from decision_utils import predict_batch, answer_codes |
| else: |
| from modeling.decision_utils import predict_batch, answer_codes |
|
|
|
|
| def load_model(checkpoint, device='cuda:0'): |
| torch.set_num_threads(8) |
| if torch.cuda.is_available(): |
| torch.backends.cuda.enable_cudnn_sdp(False) |
| model = AutoModel.from_pretrained(str(checkpoint), trust_remote_code=True, |
| local_files_only=True, dtype=torch.bfloat16, device_map=device, |
| attn_implementation='sdpa').eval() |
| processor = AutoProcessor.from_pretrained(str(checkpoint), local_files_only=True, trust_remote_code=True) |
| processor.tokenizer.padding_side = 'left' |
| codes, ids = answer_codes(processor.tokenizer) |
| if codes != model.config.codes or ids != model.config.token_ids: |
| raise ValueError('Checkpoint code/tokenizer mapping mismatch') |
| return model, processor |
|
|
|
|
| if __name__ == '__main__': |
| parser = argparse.ArgumentParser() |
| parser.add_argument('--checkpoint', default=str(Path(__file__).resolve().parent)) |
| parser.add_argument('--device', default='cuda:0') |
| parser.add_argument('--input', help='JSON file containing a list of decision inputs') |
| args = parser.parse_args() |
| model, processor = load_model(args.checkpoint, args.device) |
| rows = json.loads(Path(args.input).read_text()) if args.input else [{ |
| 'state': '我想申请退款。', 'question': {'type': 'choice', 'instructions': '判断主要诉求', |
| 'criteria': {'refund': '退款相关', 'delivery': '物流相关', 'account': '账户相关'}}}] |
| print(json.dumps(predict_batch(model, processor, rows), ensure_ascii=False, indent=2)) |
|
|
