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Home Page: http://openue.top/
License: MIT License
An Open-Source Package for Universal Extraction (UE)
Home Page: http://openue.top/
License: MIT License
_INFO:tensorflow: name = predicate_output_weights:0, shape = (49, 768) INFO:tensorflow: name = predicate_output_bias:0, shape = (49,) INFO:tensorflow: name = token_label_output_weights:0, shape = (10, 768) INFO:tensorflow: name = token_label_output_bias:0, shape = (10,) INFO:tensorflow:Error recorded from evaluation_loop: Values of eval_metric_ops must be (metric_value, update_op) tuples, given: Tensor("ArgMax:0", shape=(?,), dtype=int32) for key: predicate_prediction INFO:tensorflow:evaluation_loop marked as finished WARNING:tensorflow:Reraising captured error Traceback (most recent call last): File "run_sequnce_labeling.py", line 883, in <module> tf.app.run() File "/home/fanyongfeng/.conda/envs/ner-rc/lib/python3.6/site-packages/tensorflow/python/platform/app.py", line 125, in run _sys.exit(main(argv)) File "run_sequnce_labeling.py", line 814, in main result = estimator.evaluate(input_fn=eval_input_fn, steps=eval_steps) File "/home/fanyongfeng/.conda/envs/ner-rc/lib/python3.6/site-packages/tensorflow/contrib/tpu/python/tpu/tpu_estimator.py", line 2424, in evaluate rendezvous.raise_errors() File "/home/fanyongfeng/.conda/envs/ner-rc/lib/python3.6/site-packages/tensorflow/contrib/tpu/python/tpu/error_handling.py", line 128, in raise_errors six.reraise(typ, value, traceback) File "/home/fanyongfeng/.conda/envs/ner-rc/lib/python3.6/site-packages/six.py", line 703, in reraise raise value File "/home/fanyongfeng/.conda/envs/ner-rc/lib/python3.6/site-packages/tensorflow/contrib/tpu/python/tpu/tpu_estimator.py", line 2418, in evaluate name=name File "/home/fanyongfeng/.conda/envs/ner-rc/lib/python3.6/site-packages/tensorflow/python/estimator/estimator.py", line 478, in evaluate return _evaluate() File "/home/fanyongfeng/.conda/envs/ner-rc/lib/python3.6/site-packages/tensorflow/python/estimator/estimator.py", line 460, in _evaluate self._evaluate_build_graph(input_fn, hooks, checkpoint_path)) File "/home/fanyongfeng/.conda/envs/ner-rc/lib/python3.6/site-packages/tensorflow/python/estimator/estimator.py", line 1484, in _evaluate_build_graph self._call_model_fn_eval(input_fn, self.config)) File "/home/fanyongfeng/.conda/envs/ner-rc/lib/python3.6/site-packages/tensorflow/python/estimator/estimator.py", line 1520, in _call_model_fn_eval features, labels, model_fn_lib.ModeKeys.EVAL, config) File "/home/fanyongfeng/.conda/envs/ner-rc/lib/python3.6/site-packages/tensorflow/contrib/tpu/python/tpu/tpu_estimator.py", line 2195, in _call_model_fn features, labels, mode, config) File "/home/fanyongfeng/.conda/envs/ner-rc/lib/python3.6/site-packages/tensorflow/python/estimator/estimator.py", line 1195, in _call_model_fn model_fn_results = self._model_fn(features=features, **kwargs) File "/home/fanyongfeng/.conda/envs/ner-rc/lib/python3.6/site-packages/tensorflow/contrib/tpu/python/tpu/tpu_estimator.py", line 2479, in _model_fn features, labels, is_export_mode=is_export_mode) File "/home/fanyongfeng/.conda/envs/ner-rc/lib/python3.6/site-packages/tensorflow/contrib/tpu/python/tpu/tpu_estimator.py", line 1259, in call_without_tpu return self._call_model_fn(features, labels, is_export_mode=is_export_mode) File "/home/fanyongfeng/.conda/envs/ner-rc/lib/python3.6/site-packages/tensorflow/contrib/tpu/python/tpu/tpu_estimator.py", line 1538, in _call_model_fn return estimator_spec.as_estimator_spec() File "/home/fanyongfeng/.conda/envs/ner-rc/lib/python3.6/site-packages/tensorflow/contrib/tpu/python/tpu/tpu_estimator.py", line 330, in as_estimator_spec prediction_hooks=self.prediction_hooks + hooks) File "/home/fanyongfeng/.conda/envs/ner-rc/lib/python3.6/site-packages/tensorflow/python/estimator/model_fn.py", line 236, in __new__ 'tuples, given: {} for key: {}'.format(value, key)) TypeError: Values of eval_metric_ops must be (metric_value, update_op) tuples, given: Tensor("ArgMax:0", shape=(?,), dtype=int32) for key: predicate_prediction _
使用的命令是sh train_seq.sh ske
环境问题全部解决,但是在运行训练命令后出现这个问题。
如果有调试好的代码可以发邮件给我:[email protected] 谢谢
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