帮忙看下机器学习PAI这是啥原因啊？Traceback (most recent call last):
File “/data/soft/anaconda3/envs/xurec/lib/python3.7/site-packages/tensorflow_core/python/client/session.py”, line 1365, in _do_call
return fn(*args)
File “/data/soft/anaconda3/envs/xurec/lib/python3.7/site-packages/tensorflow_core/python/client/session.py”, line 1350, in _run_fn
target_list, run_metadata)
File “/data/soft/anaconda3/envs/xurec/lib/python3.7/site-packages/tensorflow_core/python/client/session.py”, line 1443, in _call_tf_sessionrun
run_metadata)
tensorflow.python.framework.errors_impl.InvalidArgumentError: 2 root error(s) found.
(0) Invalid argument: {{function_node inference_Dataset_map_CSVInput._parse_csv_92}} Quoted field has to end with quote followed by delim or end
[[{{node decode_csv}}]]
[[IteratorGetNext]]
(1) Invalid argument: {{function_node inference_Dataset_map_CSVInput._parse_csv_92}} Quoted field has to end with quote followed by delim or end
[[{{node decode_csv}}]]
[[IteratorGetNext]]
[[input_layer/project_embedding/project_embedding_weights/Prod/_1345]]
0 successful operations.
0 derived errors ignored.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File “../easy_rec/python/train_eval.py”, line 165, in
args.check_mode)
File “/data/soft/anaconda3/envs/xurec/lib/python3.7/site-packages/easy_rec-0.6.1-py3.7.egg/easy_rec/python/main.py”, line 333, in _train_and_evaluate_impl
estimator_train.train_and_evaluate(estimator, train_spec, eval_spec)
File “/data/soft/anaconda3/envs/xurec/lib/python3.7/site-packages/easy_rec-0.6.1-py3.7.egg/easy_rec/python/compat/estimator_train.py”, line 84, in train_and_evaluate
result = executor.run()
File “/data/soft/anaconda3/envs/xurec/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/training.py”, line 613, in run
return self.run_local()
File “/data/soft/anaconda3/envs/xurec/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/training.py”, line 714, in run_local
saving_listeners=saving_listeners)
File “/data/soft/anaconda3/envs/xurec/lib/python3.7/site-packages/easy_rec-0.6.1-py3.7.egg/easy_rec/python/model/easy_rec_estimator.py”, line 92, in train
max_steps, saving_listeners)
File “/data/soft/anaconda3/envs/xurec/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/estimator.py”, line 370, in train
loss = self._train_model(input_fn, hooks, saving_listeners)
File “/data/soft/anaconda3/envs/xurec/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/estimator.py”, line 1161, in _train_model
return self._train_model_default(input_fn, hooks, saving_listeners)
File “/data/soft/anaconda3/envs/xurec/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/estimator.py”, line 1195, in _train_model_default
saving_listeners)
File “/data/soft/anaconda3/envs/xurec/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/estimator.py”, line 1494, in _train_with_estimatorspec
, loss = mon_sess.run([estimator_spec.train_op, estimator_spec.loss])
File “/data/soft/anaconda3/envs/xurec/lib/python3.7/site-packages/tensorflow_core/python/training/monitored_session.py”, line 754, in run
run_metadata=run_metadata)
File “/data/soft/anaconda3/envs/xurec/lib/python3.7/site-packages/tensorflow_core/python/training/monitored_session.py”, line 1259, in run
run_metadata=run_metadata)
File “/data/soft/anaconda3/envs/xurec/lib/python3.7/site-packages/tensorflow_core/python/training/monitored_session.py”, line 1360, in run
raise six.reraise(original_exc_info)
File “/data/soft/anaconda3/envs/xurec/lib/python3.7/site-packages/six.py”, line 719, in reraise
raise value
File “/data/soft/anaconda3/envs/xurec/lib/python3.7/site-packages/tensorflow_core/python/training/monitored_session.py”, line 1345, in run
return self._sess.run(args, kwargs)
File “/data/soft/anaconda3/envs/xurec/lib/python3.7/site-packages/tensorflow_core/python/training/monitored_session.py”, line 1418, in run
run_metadata=run_metadata)
File “/data/soft/anaconda3/envs/xurec/lib/python3.7/site-packages/tensorflow_core/python/training/monitored_session.py”, line 1176, in run
return self._sess.run(*args, kwargs)
File “/data/soft/anaconda3/envs/xurec/lib/python3.7/site-packages/tensorflow_core/python/client/session.py”, line 956, in run
run_metadata_ptr)
File “/data/soft/anaconda3/envs/xurec/lib/python3.7/site-packages/tensorflow_core/python/client/session.py”, line 1180, in _run
feed_dict_tensor, options, run_metadata)
File “/data/soft/anaconda3/envs/xurec/lib/python3.7/site-packages/tensorflow_core/python/client/session.py”, line 1359, in _do_run
run_metadata)
File “/data/soft/anaconda3/envs/xurec/lib/python3.7/site-packages/tensorflow_core/python/client/session.py”, line 1384, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: 2 root error(s) found.
(0) Invalid argument: Quoted field has to end with quote followed by delim or end
[[{{node decode_csv}}]]
[[IteratorGetNext]]
(1) Invalid argument: Quoted field has to end with quote followed by delim or end
[[{{node decode_csv}}]]
[[IteratorGetNext]]
[[input_layer/project_embedding/project_embedding_weights/Prod/_1345]]
0 successful operations.
0 derived errors ignored.这种是不是去掉里面的引号啊？
是的，这个错误是因为在CSV文件中，某些字段的值中包含了引号，但是在处理这些字段时，程序没有正确地处理引号，导致了这个错误。
解决这个问题的方法是，确保CSV文件中的所有字段值都正确地被引号包围，并且在处理这些字段时，程序能够正确地处理引号。具体来说，可以使用Python的csv模块的
QUOTE_ALL模式来处理所有的字段值，或者在处理字段值时，使用csv.reader的QUOTE_NONE模式，并且在需要的时候手动添加引号。另外，如果CSV文件中的某些字段值是需要被解析为日期或者时间的，那么在处理这些字段时，还需要注意日期和时间的格式。例如，日期和时间的格式可能需要遵循ISO 8601标准，或者遵循其他特定的格式。
对的，最好去掉引号。用 来分割，此回答整理自钉群“【EasyRec】推荐算法交流群”
CSV 文件中的某个字段没有正确地结束引号，或者没有按照规定的格式使用分隔符。错误信息中提到了 “Quoted field has to end with quote followed by delim or end”，这意味着需要引号结束的字段没有正确地使用引号，或者没有按照规定的格式使用分隔符。
为了解决这个问题，您需要检查您的 CSV 文件，确保所有的字段都按照正确的格式包含引号和分隔符。如果可能的话，您可以尝试使用其他的 CSV 解析库，例如 pandas，来解析 CSV 文件，因为它们可能会有更强大的错误处理和校验功能。