Deprecated in favor of operator or tf.math.divide.
INFO:tensorflow:Error recorded from training_loop: init() takes 1 positional argument but 3 were given
INFO:tensorflow:training_loop marked as finished
WARNING:tensorflow:Reraising captured error
Traceback (most recent call last):
File "/tf/bert/run_classifier.py", line 1054, in
tf.app.run()
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/platform/app.py", line 125, in run
_sys.exit(main(argv))
File "/tf/bert/run_classifier.py", line 953, in main
estimator.train(input_fn=train_input_fn, max_steps=num_train_steps)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/contrib/tpu/python/tpu/tpu_estimator.py", line 2457, in train
rendezvous.raise_errors()
File "/usr/local/lib/python3.5/dist-packages/tensorflow/contrib/tpu/python/tpu/error_handling.py", line 128, in raise_errors
six.reraise(typ, value, traceback)
File "/usr/local/lib/python3.5/dist-packages/six.py", line 693, in reraise
raise value
File "/usr/local/lib/python3.5/dist-packages/tensorflow/contrib/tpu/python/tpu/tpu_estimator.py", line 2452, in train
saving_listeners=saving_listeners)
File "/usr/local/lib/python3.5/dist-packages/tensorflow_estimator/python/estimator/estimator.py", line 358, in train
loss = self._train_model(input_fn, hooks, saving_listeners)
File "/usr/local/lib/python3.5/dist-packages/tensorflow_estimator/python/estimator/estimator.py", line 1124, in _train_model
return self._train_model_default(input_fn, hooks, saving_listeners)
File "/usr/local/lib/python3.5/dist-packages/tensorflow_estimator/python/estimator/estimator.py", line 1154, in _train_model_default
features, labels, model_fn_lib.ModeKeys.TRAIN, self.config)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/contrib/tpu/python/tpu/tpu_estimator.py", line 2251, in _call_model_fn
config)
File "/usr/local/lib/python3.5/dist-packages/tensorflow_estimator/python/estimator/estimator.py", line 1112, in _call_model_fn
model_fn_results = self._model_fn(features=features, **kwargs)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/contrib/tpu/python/tpu/tpu_estimator.py", line 2534, in _model_fn
features, labels, is_export_mode=is_export_mode)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/contrib/tpu/python/tpu/tpu_estimator.py", line 1323, in call_without_tpu
return self._call_model_fn(features, labels, is_export_mode=is_export_mode)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/contrib/tpu/python/tpu/tpu_estimator.py", line 1593, in _call_model_fn
estimator_spec = self._model_fn(features=features, **kwargs)
File "/tf/bert/run_classifier.py", line 747, in model_fn
total_loss, learning_rate, num_train_steps, num_warmup_steps, use_tpu)
File "/tf/bert/optimization.py", line 65, in create_optimizer
exclude_from_weight_decay=["LayerNorm", "layer_norm", "bias"])
File "/tf/bert/optimization.py", line 100, in init
super(AdamWeightDecayOptimizer, self).init(False, name)
TypeError: init() takes 1 positional argument but 3 were given
你好，我也遇到了这个问题，请问您解决了吗，是如何解决的呢
google-research
