#25 ValueError: For 'build_searched_strategy', no such strategy file: . Please check whether the 'strategy_filename' exists.

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-1-fa31d81797ff> in <module>
      4 set_context(backend='mindspore')
      5 config = alpha.model_config_npu(model='2B6',load='./model')
----> 6 alpha.inference(config,input='四川的省会是?')

~/anaconda3/envs/MindSpore/lib/python3.7/site-packages/pcl_pangu/model/alpha/alpha.py in inference(config, top_k, top_p, input, input_file, generate_max_tokens, output_file, oneCardInference)
     96         config_dict['output_file'] = output_file
     97         config_dict['generate_max_tokens'] = generate_max_tokens
---> 98         run_ms_inference(config_dict)
     99 
    100     elif 'onnx-' in backend_context:

~/anaconda3/envs/MindSpore/lib/python3.7/site-packages/pcl_pangu/model/alpha/alpha.py in run_ms_inference(config_dict)
    160     from inference_alpha_ms13 import opt, setup_args, main
    161     new_opt = setup_args(opt, config_dict)
--> 162     main(new_opt)
    163 
    164 def run_ms_finetune_merge_OpenI(config_dict):

~/anaconda3/envs/MindSpore/lib/python3.7/site-packages/pcl_pangu/model/panguAlpha_mindspore/inference_alpha_ms13.py in main(opt)
    316     """Main process for predict or export model"""
    317 
--> 318     model_predict, config = load_model(opt)
    319     if opt.export:
    320         export_mindir(model_predict, config)

~/anaconda3/envs/MindSpore/lib/python3.7/site-packages/pcl_pangu/model/panguAlpha_mindspore/inference_alpha_ms13.py in load_model(args_opt)
    179         print(f"Loading from path {ckpt_file_list[0]}", flush=True)
    180         print(predict_layout)
--> 181         load_distributed_checkpoint(eval_net, ckpt_file_list, predict_strategy=predict_layout)
    182         print("================load param ok=================", flush=True)
    183     else:

~/anaconda3/envs/MindSpore/lib/python3.7/site-packages/mindspore/train/serialization.py in load_distributed_checkpoint(network, checkpoint_filenames, predict_strategy, train_strategy_filename, strict_load, dec_key, dec_mode)
   1575     if train_strategy_filename is None:
   1576         train_strategy_filename = context.get_auto_parallel_context("strategy_ckpt_load_file")
-> 1577     _train_strategy = build_searched_strategy(train_strategy_filename)
   1578     train_strategy = _convert_to_list(_train_strategy)
   1579 

~/anaconda3/envs/MindSpore/lib/python3.7/site-packages/mindspore/train/serialization.py in build_searched_strategy(strategy_filename)
   1416 
   1417     if not os.path.isfile(strategy_filename):
-> 1418         raise ValueError(f"For 'build_searched_strategy', no such strategy file: {strategy_filename}. "
   1419                          f"Please check whether the 'strategy_filename' exists.")
   1420 

ValueError: For 'build_searched_strategy', no such strategy file: . Please check whether the 'strategy_filename' exists.

In [2]: from pcl_pangu.context import set_context
   ...: from pcl_pangu.model import alpha, evolution, mPangu
   ...: 
   ...: set_context(backend='mindspore')
   ...: config = alpha.model_config_npu(model='2B6',load='./model')
   ...: alpha.inference(config,input='四川的省会是?')
/home/ma-user/anaconda3/envs/MindSpore/lib/python3.7/site-packages/requests/__init__.py:91: RequestsDependencyWarning: urllib3 (1.26.10) or chardet (3.0.4) doesn't match a supported version!
  RequestsDependencyWarning)
--------------------------- inference config --------------------------
> Base Model: [alpha]
> Model Size: [2B6]
> global batch_size: 8
> generate_max_tokens length: 128
---------------------------- end of config ----------------------------
---------------------------------------------------------------------------
ImportError                               Traceback (most recent call last)
<ipython-input-2-fa31d81797ff> in <module>
      4 set_context(backend='mindspore')
      5 config = alpha.model_config_npu(model='2B6',load='./model')
----> 6 alpha.inference(config,input='四川的省会是?')

~/anaconda3/envs/MindSpore/lib/python3.7/site-packages/pcl_pangu/model/alpha/alpha.py in inference(config, top_k, top_p, input, input_file, generate_max_tokens, output_file, oneCardInference)
     96         config_dict['output_file'] = output_file
     97         config_dict['generate_max_tokens'] = generate_max_tokens
---> 98         run_ms_inference(config_dict)
     99 
    100     elif 'onnx-' in backend_context:

~/anaconda3/envs/MindSpore/lib/python3.7/site-packages/pcl_pangu/model/alpha/alpha.py in run_ms_inference(config_dict)
    158     current_dir = os.path.abspath(os.path.join(os.path.dirname(__file__), os.path.pardir))
    159     sys.path.append(current_dir + '/panguAlpha_mindspore')
--> 160     from inference_alpha_ms13 import opt, setup_args, main
    161     new_opt = setup_args(opt, config_dict)
    162     main(new_opt)

~/anaconda3/envs/MindSpore/lib/python3.7/site-packages/pcl_pangu/model/panguAlpha_mindspore/inference_alpha_ms13.py in <module>
     29 from mindspore.train.model import Model
     30 from mindspore.train.serialization import load_checkpoint, load_param_into_net, load_distributed_checkpoint
---> 31 from src.serialization import load_distributed_checkpoint
     32 from src.pangu_alpha import PanguAlpha, EvalNet
     33 from src.pangu_alpha_config import PANGUALPHAConfig, set_parse

~/anaconda3/envs/MindSpore/lib/python3.7/site-packages/pcl_pangu/model/panguAlpha_mindspore/src/serialization.py in <module>
     38 from mindspore.common.initializer import initializer
     39 from mindspore.common.parameter import Parameter
---> 40 from mindspore.common.api import _executor
     41 from mindspore.common import dtype as mstype
     42 from mindspore._checkparam import check_input_data, Validator

ImportError: cannot import name '_executor' from 'mindspore.common.api' (/home/ma-user/anaconda3/envs/MindSpore/lib/python3.7/site-packages/mindspore/common/api.py)

## 问题 手动修复[前一个bug后](https://openi.pcl.ac.cn/PCL-Platform.Intelligence/pcl_pangu/issues/24)，又出现了如下报错： ```python --------------------------------------------------------------------------- ValueError Traceback (most recent call last) <ipython-input-1-fa31d81797ff> in <module> 4 set_context(backend='mindspore') 5 config = alpha.model_config_npu(model='2B6',load='./model') ----> 6 alpha.inference(config,input='四川的省会是?') ~/anaconda3/envs/MindSpore/lib/python3.7/site-packages/pcl_pangu/model/alpha/alpha.py in inference(config, top_k, top_p, input, input_file, generate_max_tokens, output_file, oneCardInference) 96 config_dict['output_file'] = output_file 97 config_dict['generate_max_tokens'] = generate_max_tokens ---> 98 run_ms_inference(config_dict) 99 100 elif 'onnx-' in backend_context: ~/anaconda3/envs/MindSpore/lib/python3.7/site-packages/pcl_pangu/model/alpha/alpha.py in run_ms_inference(config_dict) 160 from inference_alpha_ms13 import opt, setup_args, main 161 new_opt = setup_args(opt, config_dict) --> 162 main(new_opt) 163 164 def run_ms_finetune_merge_OpenI(config_dict): ~/anaconda3/envs/MindSpore/lib/python3.7/site-packages/pcl_pangu/model/panguAlpha_mindspore/inference_alpha_ms13.py in main(opt) 316 """Main process for predict or export model""" 317 --> 318 model_predict, config = load_model(opt) 319 if opt.export: 320 export_mindir(model_predict, config) ~/anaconda3/envs/MindSpore/lib/python3.7/site-packages/pcl_pangu/model/panguAlpha_mindspore/inference_alpha_ms13.py in load_model(args_opt) 179 print(f"Loading from path {ckpt_file_list[0]}", flush=True) 180 print(predict_layout) --> 181 load_distributed_checkpoint(eval_net, ckpt_file_list, predict_strategy=predict_layout) 182 print("================load param ok=================", flush=True) 183 else: ~/anaconda3/envs/MindSpore/lib/python3.7/site-packages/mindspore/train/serialization.py in load_distributed_checkpoint(network, checkpoint_filenames, predict_strategy, train_strategy_filename, strict_load, dec_key, dec_mode) 1575 if train_strategy_filename is None: 1576 train_strategy_filename = context.get_auto_parallel_context("strategy_ckpt_load_file") -> 1577 _train_strategy = build_searched_strategy(train_strategy_filename) 1578 train_strategy = _convert_to_list(_train_strategy) 1579 ~/anaconda3/envs/MindSpore/lib/python3.7/site-packages/mindspore/train/serialization.py in build_searched_strategy(strategy_filename) 1416 1417 if not os.path.isfile(strategy_filename): -> 1418 raise ValueError(f"For 'build_searched_strategy', no such strategy file: {strategy_filename}. " 1419 f"Please check whether the 'strategy_filename' exists.") 1420 ValueError: For 'build_searched_strategy', no such strategy file: . Please check whether the 'strategy_filename' exists. ``` ## 症结 如报错信息所示，`inference_alpha_ms13.py`的[第180行](https://openi.pcl.ac.cn/PCL-Platform.Intelligence/pcl_pangu/src/branch/master/pcl_pangu/model/panguAlpha_mindspore/inference_alpha_ms13.py#L180)需要传入一个不为空的strategy，但由于`args_opt.strategy_load_ckpt_path`为空，所以[第148行](https://openi.pcl.ac.cn/PCL-Platform.Intelligence/pcl_pangu/src/branch/master/pcl_pangu/model/panguAlpha_mindspore/inference_alpha_ms13.py#L147)也将`predict_layout`设为`None`。 推测该项目缺少了关于pangu 2B6 的strategy文件（虽然我也不知道时啥，总之赶紧补少吧）。 尝试过把[第31行]（https://openi.pcl.ac.cn/PCL-Platform.Intelligence/pcl_pangu/src/branch/master/pcl_pangu/model/panguAlpha_mindspore/inference_alpha_ms13.py#L31）的注释去掉，结果报了下面的错误。 ```shell In [2]: from pcl_pangu.context import set_context ...: from pcl_pangu.model import alpha, evolution, mPangu ...: ...: set_context(backend='mindspore') ...: config = alpha.model_config_npu(model='2B6',load='./model') ...: alpha.inference(config,input='四川的省会是?') /home/ma-user/anaconda3/envs/MindSpore/lib/python3.7/site-packages/requests/__init__.py:91: RequestsDependencyWarning: urllib3 (1.26.10) or chardet (3.0.4) doesn't match a supported version! RequestsDependencyWarning) --------------------------- inference config -------------------------- > Base Model: [alpha] > Model Size: [2B6] > global batch_size: 8 > generate_max_tokens length: 128 ---------------------------- end of config ---------------------------- --------------------------------------------------------------------------- ImportError Traceback (most recent call last) <ipython-input-2-fa31d81797ff> in <module> 4 set_context(backend='mindspore') 5 config = alpha.model_config_npu(model='2B6',load='./model') ----> 6 alpha.inference(config,input='四川的省会是?') ~/anaconda3/envs/MindSpore/lib/python3.7/site-packages/pcl_pangu/model/alpha/alpha.py in inference(config, top_k, top_p, input, input_file, generate_max_tokens, output_file, oneCardInference) 96 config_dict['output_file'] = output_file 97 config_dict['generate_max_tokens'] = generate_max_tokens ---> 98 run_ms_inference(config_dict) 99 100 elif 'onnx-' in backend_context: ~/anaconda3/envs/MindSpore/lib/python3.7/site-packages/pcl_pangu/model/alpha/alpha.py in run_ms_inference(config_dict) 158 current_dir = os.path.abspath(os.path.join(os.path.dirname(__file__), os.path.pardir)) 159 sys.path.append(current_dir + '/panguAlpha_mindspore') --> 160 from inference_alpha_ms13 import opt, setup_args, main 161 new_opt = setup_args(opt, config_dict) 162 main(new_opt) ~/anaconda3/envs/MindSpore/lib/python3.7/site-packages/pcl_pangu/model/panguAlpha_mindspore/inference_alpha_ms13.py in <module> 29 from mindspore.train.model import Model 30 from mindspore.train.serialization import load_checkpoint, load_param_into_net, load_distributed_checkpoint ---> 31 from src.serialization import load_distributed_checkpoint 32 from src.pangu_alpha import PanguAlpha, EvalNet 33 from src.pangu_alpha_config import PANGUALPHAConfig, set_parse ~/anaconda3/envs/MindSpore/lib/python3.7/site-packages/pcl_pangu/model/panguAlpha_mindspore/src/serialization.py in <module> 38 from mindspore.common.initializer import initializer 39 from mindspore.common.parameter import Parameter ---> 40 from mindspore.common.api import _executor 41 from mindspore.common import dtype as mstype 42 from mindspore._checkparam import check_input_data, Validator ImportError: cannot import name '_executor' from 'mindspore.common.api' (/home/ma-user/anaconda3/envs/MindSpore/lib/python3.7/site-packages/mindspore/common/api.py) ```