--------------------------------------------------------------------------- AttributeError Traceback (most recent call last) /tmp/ipykernel_23207/4182898696.py in <module> 45 monitor='loss') # 由于 46 ---> 47 history = model.fit(x_train, y_train, batch_size=32, epochs=100, callbacks=[cp_callback]) 48 49 model.summary() /home/software/anaconda3/envs/tf115/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/training.py in fit(self, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, validation_freq, max_queue_size, workers, use_multiprocessing, **kwargs) 725 max_queue_size=max_queue_size, 726 workers=workers, --> 727 use_multiprocessing=use_multiprocessing) 728 729 def evaluate(self, /home/software/anaconda3/envs/tf115/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/training_arrays.py in fit(self, model, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, validation_freq, **kwargs) 641 steps=steps_per_epoch, 642 validation_split=validation_split, --> 643 shuffle=shuffle) 644 645 if validation_data: /home/software/anaconda3/envs/tf115/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/training.py in _standardize_user_data(self, x, y, sample_weight, class_weight, batch_size, check_steps, steps_name, steps, validation_split, shuffle, extract_tensors_from_dataset) 2430 is_compile_called = False 2431 if not self._is_compiled and self.optimizer: -> 2432 self._compile_from_inputs(all_inputs, y_input, x, y) 2433 is_compile_called = True 2434 /home/software/anaconda3/envs/tf115/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/training.py in _compile_from_inputs(self, all_inputs, target, orig_inputs, orig_target) 2665 sample_weight_mode=self.sample_weight_mode, 2666 run_eagerly=self.run_eagerly, -> 2667 experimental_run_tf_function=self._experimental_run_tf_function) 2668 2669 # TODO(omalleyt): Consider changing to a more descriptive function name. /home/software/anaconda3/envs/tf115/lib/python3.7/site-packages/tensorflow_core/python/training/tracking/base.py in _method_wrapper(self, *args, **kwargs) 455 self._self_setattr_tracking = False # pylint: disable=protected-access 456 try: --> 457 result = method(self, *args, **kwargs) 458 finally: 459 self._self_setattr_tracking = previous_value # pylint: disable=protected-access /home/software/anaconda3/envs/tf115/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/training.py in compile(self, optimizer, loss, metrics, loss_weights, sample_weight_mode, weighted_metrics, target_tensors, distribute, **kwargs) 341 self.loss_functions, target_tensors): 342 endpoint = _TrainingEndpoint(o, n, l) --> 343 endpoint.create_training_target(t, run_eagerly=self.run_eagerly) 344 self._training_endpoints.append(endpoint) 345 /home/software/anaconda3/envs/tf115/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/training.py in create_training_target(self, target, run_eagerly) 3060 if target is None: 3061 target_dtype = losses.LABEL_DTYPES_FOR_LOSSES.get( -> 3062 self.loss_fn, K.dtype(self.output)) 3063 3064 target = K.placeholder( /home/software/anaconda3/envs/tf115/lib/python3.7/site-packages/tensorflow_core/python/keras/backend.py in dtype(x) 1241 ``` 1242 """ -> 1243 return x.dtype.base_dtype.name 1244 1245 AttributeError: 'NoneType' object has no attribute 'dtype' AttributeError:“ NoneType”对象没有属性“ dtype”可能是Numpy和TensorFlow兼容性问题。 目前使用的是TensorFlow2.1版本,于是将Numpy版本修改为1.18.5,发现问题得到解决
标签:training,target,weight,no,attribute,self,object,steps,validation From: https://www.cnblogs.com/emanlee/p/17125187.html