# 批量预测
import numpy as np
model = pdx.load_model('output/ResNet50_vd_ssld/best_model')
result = model.batch_predict(val_list)
print("Predict Result:", result)

提示错误

2021-05-29 13:32:01 [INFO]	Model[ResNet50_vd_ssld] loaded.
---------------------------------------------------------------------------RuntimeError                              Traceback (most recent call last) in 
      2 import numpy as np
      3 model = pdx.load_model('output/ResNet50_vd_ssld/best_model')
----> 4 result = model.batch_predict(val_list)
      5 print("Predict Result:", result)
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlex/cv/models/classifier.py in batch_predict(self, img_file_list, transforms, topk)
    397                                   feed={'image': im},
    398                                   fetch_list=list(self.test_outputs.values()),
--> 399                                   use_program_cache=True)
    400 
    401         preds = BaseClassifier._postprocess(result, true_topk, self.labels)
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/executor.py in run(self, program, feed, fetch_list, feed_var_name, fetch_var_name, scope, return_numpy, use_program_cache, return_merged, use_prune)
   1108                 return_merged=return_merged)
   1109         except Exception as e:
-> 1110             six.reraise(*sys.exc_info())
   1111 
   1112     def _run_impl(self, program, feed, fetch_list, feed_var_name,
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/six.py in reraise(tp, value, tb)
    701             if value.__traceback__ is not tb:
    702                 raise value.with_traceback(tb)
--> 703             raise value
    704         finally:
    705             value = None
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/executor.py in run(self, program, feed, fetch_list, feed_var_name, fetch_var_name, scope, return_numpy, use_program_cache, return_merged, use_prune)
   1106                 use_program_cache=use_program_cache,
   1107                 use_prune=use_prune,
-> 1108                 return_merged=return_merged)
   1109         except Exception as e:
   1110             six.reraise(*sys.exc_info())
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/executor.py in _run_impl(self, program, feed, fetch_list, feed_var_name, fetch_var_name, scope, return_numpy, use_program_cache, return_merged, use_prune)
   1236                 scope=scope,
   1237                 return_numpy=return_numpy,
-> 1238                 use_program_cache=use_program_cache)
   1239 
   1240         program._compile(scope, self.place)
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/executor.py in _run_program(self, program, feed, fetch_list, feed_var_name, fetch_var_name, scope, return_numpy, use_program_cache)
   1329         else:
   1330             self._default_executor.run_prepared_ctx(ctx, scope, False, False,
-> 1331                                                     False)
   1332         arr = scope.find_var(fetch_var_name).get_fetch_list()
   1333         tensors = arr._move_to_list()
RuntimeError: ResourceExhaustedError: 

Out of memory error on GPU 0. Cannot allocate 12.500000GB memory on GPU 0, available memory is only 8.557495GB.

Please check whether there is any other process using GPU 0.
1. If yes, please stop them, or start PaddlePaddle on another GPU.
2. If no, please decrease the batch size of your model. 

 (at /paddle/paddle/fluid/memory/allocation/cuda_allocator.cc:69)