---------------------------------------------------------------------------EnforceNotMet Traceback (most recent call last) in
111 feed_dict['node_label'] = label
112
--> 113 train_loss = exe.run(fluid.default_main_program(), feed=feed_dict, fetch_list=[loss], return_numpy=True)
114 print('Epoch %d | Loss: %f'%(epoch, train_loss[0]))
115 print('1')
/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)
649 scope=scope,
650 return_numpy=return_numpy,
--> 651 use_program_cache=use_program_cache)
652 else:
653 if fetch_list and program._is_data_parallel and program._program and (
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/executor.py in _run(self, program, exe, feed, fetch_list, feed_var_name, fetch_var_name, scope, return_numpy, use_program_cache)
747 self._feed_data(program, feed, feed_var_name, scope)
748 if not use_program_cache:
--> 749 exe.run(program.desc, scope, 0, True, True, fetch_var_name)
750 else:
751 exe.run_cached_prepared_ctx(ctx, scope, False, False, False)
EnforceNotMet: Invoke operator sigmoid_cross_entropy_with_logits error.
Would you tell me your Paddle version and PGL version? I can run normally with Paddle==1.6 and PGL=1.0 .