I get the following trace for the model creation code portion: --------------------------------------------------------------------------- AlreadyExistsError Traceback (most recent call last) <ipython-input-11-6d4ac95a1bef> in <module> 2 #Softmax to output a probability 3 ----> 4 modela = tf.keras.Sequential([ 5 tf.keras.layers.Conv2D(50,5,activation='relu', input_shape=(28,28,1)), 6 tf.keras.layers.MaxPooling2D(pool_size=(2,2)), ~\anaconda3\lib\site-packages\tensorflow\python\util\lazy_loader.py in __getattr__(self, item) 60 61 def __getattr__(self, item): ---> 62 module = self._load() 63 return getattr(module, item) 64 ~\anaconda3\lib\site-packages\tensorflow\python\util\lazy_loader.py in _load(self) 43 """Load the module and insert it into the parent's globals.""" 44 # Import the target module and insert it into the parent's namespace ---> 45 module = importlib.import_module(self.__name__) 46 self._parent_module_globals[self._local_name] = module 47 ~\anaconda3\lib\importlib\__init__.py in import_module(name, package) 125 break 126 level += 1 --> 127 return _bootstrap._gcd_import(name[level:], package, level) 128 129 ~\anaconda3\lib\importlib\_bootstrap.py in _gcd_import(name, package, level) ~\anaconda3\lib\importlib\_bootstrap.py in _find_and_load(name, import_) ~\anaconda3\lib\importlib\_bootstrap.py in _find_and_load_unlocked(name, import_) ~\anaconda3\lib\importlib\_bootstrap.py in _call_with_frames_removed(f, *args, **kwds) ~\anaconda3\lib\importlib\_bootstrap.py in _gcd_import(name, package, level) ~\anaconda3\lib\importlib\_bootstrap.py in _find_and_load(name, import_) ~\anaconda3\lib\importlib\_bootstrap.py in _find_and_load_unlocked(name, import_) ~\anaconda3\lib\importlib\_bootstrap.py in _call_with_frames_removed(f, *args, **kwds) ~\anaconda3\lib\importlib\_bootstrap.py in _gcd_import(name, package, level) ~\anaconda3\lib\importlib\_bootstrap.py in _find_and_load(name, import_) ~\anaconda3\lib\importlib\_bootstrap.py in _find_and_load_unlocked(name, import_) ~\anaconda3\lib\importlib\_bootstrap.py in _call_with_frames_removed(f, *args, **kwds) ~\anaconda3\lib\importlib\_bootstrap.py in _gcd_import(name, package, level) ~\anaconda3\lib\importlib\_bootstrap.py in _find_and_load(name, import_) ~\anaconda3\lib\importlib\_bootstrap.py in _find_and_load_unlocked(name, import_) ~\anaconda3\lib\importlib\_bootstrap.py in _load_unlocked(spec) ~\anaconda3\lib\importlib\_bootstrap_external.py in exec_module(self, module) ~\anaconda3\lib\importlib\_bootstrap.py in _call_with_frames_removed(f, *args, **kwds) ~\anaconda3\lib\site-packages\keras\__init__.py in <module> 23 24 # See b/110718070#comment18 for more details about this import. ---> 25 from keras import models 26 27 from keras.engine.input_layer import Input ~\anaconda3\lib\site-packages\keras\models.py in <module> 18 import tensorflow.compat.v2 as tf 19 from keras import backend ---> 20 from keras import metrics as metrics_module 21 from keras import optimizer_v1 22 from keras.engine import functional ~\anaconda3\lib\site-packages\keras\metrics.py in <module> 24 25 import numpy as np ---> 26 from keras import activations 27 from keras import backend 28 from keras.engine import base_layer ~\anaconda3\lib\site-packages\keras\activations.py in <module> 18 19 from keras import backend ---> 20 from keras.layers import advanced_activations 21 from keras.utils.generic_utils import deserialize_keras_object 22 from keras.utils.generic_utils import serialize_keras_object ~\anaconda3\lib\site-packages\keras\layers\__init__.py in <module> 21 22 # Generic layers. ---> 23 from keras.engine.input_layer import Input 24 from keras.engine.input_layer import InputLayer 25 from keras.engine.input_spec import InputSpec ~\anaconda3\lib\site-packages\keras\engine\input_layer.py in <module> 19 from keras import backend 20 from keras.distribute import distributed_training_utils ---> 21 from keras.engine import base_layer 22 from keras.engine import keras_tensor 23 from keras.engine import node as node_module ~\anaconda3\lib\site-packages\keras\engine\base_layer.py in <module> 41 from keras.engine import node as node_module 42 from keras.mixed_precision import autocast_variable ---> 43 from keras.mixed_precision import loss_scale_optimizer 44 from keras.mixed_precision import policy 45 from keras.saving.saved_model import layer_serialization ~\anaconda3\lib\site-packages\keras\mixed_precision\loss_scale_optimizer.py in <module> 16 17 from keras import backend ---> 18 from keras import optimizers 19 from keras.mixed_precision import loss_scale as keras_loss_scale_module 20 from keras.optimizer_v2 import optimizer_v2 ~\anaconda3\lib\site-packages\keras\optimizers.py in <module> 24 from keras.optimizer_v1 import Optimizer 25 from keras.optimizer_v1 import TFOptimizer ---> 26 from keras.optimizer_v2 import adadelta as adadelta_v2 27 from keras.optimizer_v2 import adagrad as adagrad_v2 28 from keras.optimizer_v2 import adam as adam_v2 ~\anaconda3\lib\site-packages\keras\optimizer_v2\adadelta.py in <module> 20 import numpy as np 21 from keras import backend_config ---> 22 from keras.optimizer_v2 import optimizer_v2 23 from tensorflow.python.util.tf_export import keras_export 24 ~\anaconda3\lib\site-packages\keras\optimizer_v2\optimizer_v2.py in <module> 34 35 ---> 36 keras_optimizers_gauge = tf.__internal__.monitoring.BoolGauge( 37 "/tensorflow/api/keras/optimizers", "keras optimizer usage", "method") 38 ~\anaconda3\lib\site-packages\tensorflow\python\eager\monitoring.py in __init__(self, name, description, *labels) 358 *labels: The label list of the new metric. 359 """ --> 360 super(BoolGauge, self).__init__('BoolGauge', _bool_gauge_methods, 361 len(labels), name, description, *labels) 362 ~\anaconda3\lib\site-packages\tensorflow\python\eager\monitoring.py in __init__(self, metric_name, metric_methods, label_length, *args) 133 self._metric_name, len(self._metric_methods))) 134 --> 135 self._metric = self._metric_methods[self._label_length].create(*args) 136 137 def __del__(self): AlreadyExistsError: Another metric with the same name already exists. --------------------------------------------------------------------------- AlreadyExistsError Traceback (most recent call last) <ipython-input-11-6d4ac95a1bef> in <module> 2 #Softmax to output a probability 3 ----> 4 modela = tf.keras.Sequential([ 5 tf.keras.layers.Conv2D(50,5,activation='relu', input_shape=(28,28,1)), 6 tf.keras.layers.MaxPooling2D(pool_size=(2,2)), ~\anaconda3\lib\site-packages\tensorflow\python\util\lazy_loader.py in __getattr__(self, item) 60 61 def __getattr__(self, item): ---> 62 module = self._load() 63 return getattr(module, item) 64 ~\anaconda3\lib\site-packages\tensorflow\python\util\lazy_loader.py in _load(self) 43 """Load the module and insert it into the parent's globals.""" 44 # Import the target module and insert it into the parent's namespace ---> 45 module = importlib.import_module(self.__name__) 46 self._parent_module_globals[self._local_name] = module 47 ~\anaconda3\lib\importlib\__init__.py in import_module(name, package) 125 break 126 level += 1 --> 127 return _bootstrap._gcd_import(name[level:], package, level) 128 129 ~\anaconda3\lib\importlib\_bootstrap.py in _gcd_import(name, package, level) ~\anaconda3\lib\importlib\_bootstrap.py in _find_and_load(name, import_) ~\anaconda3\lib\importlib\_bootstrap.py in _find_and_load_unlocked(name, import_) ~\anaconda3\lib\importlib\_bootstrap.py in _call_with_frames_removed(f, *args, **kwds) ~\anaconda3\lib\importlib\_bootstrap.py in _gcd_import(name, package, level) ~\anaconda3\lib\importlib\_bootstrap.py in _find_and_load(name, import_) ~\anaconda3\lib\importlib\_bootstrap.py in _find_and_load_unlocked(name, import_) ~\anaconda3\lib\importlib\_bootstrap.py in _call_with_frames_removed(f, *args, **kwds) ~\anaconda3\lib\importlib\_bootstrap.py in _gcd_import(name, package, level) ~\anaconda3\lib\importlib\_bootstrap.py in _find_and_load(name, import_) ~\anaconda3\lib\importlib\_bootstrap.py in _find_and_load_unlocked(name, import_) ~\anaconda3\lib\importlib\_bootstrap.py in _call_with_frames_removed(f, *args, **kwds) ~\anaconda3\lib\importlib\_bootstrap.py in _gcd_import(name, package, level) ~\anaconda3\lib\importlib\_bootstrap.py in _find_and_load(name, import_) ~\anaconda3\lib\importlib\_bootstrap.py in _find_and_load_unlocked(name, import_) ~\anaconda3\lib\importlib\_bootstrap.py in _load_unlocked(spec) ~\anaconda3\lib\importlib\_bootstrap_external.py in exec_module(self, module) ~\anaconda3\lib\importlib\_bootstrap.py in _call_with_frames_removed(f, *args, **kwds) ~\anaconda3\lib\site-packages\keras\__init__.py in <module> 23 24 # See b/110718070#comment18 for more details about this import. ---> 25 from keras import models 26 27 from keras.engine.input_layer import Input ~\anaconda3\lib\site-packages\keras\models.py in <module> 18 import tensorflow.compat.v2 as tf 19 from keras import backend ---> 20 from keras import metrics as metrics_module 21 from keras import optimizer_v1 22 from keras.engine import functional ~\anaconda3\lib\site-packages\keras\metrics.py in <module> 24 25 import numpy as np ---> 26 from keras import activations 27 from keras import backend 28 from keras.engine import base_layer ~\anaconda3\lib\site-packages\keras\activations.py in <module> 18 19 from keras import backend ---> 20 from keras.layers import advanced_activations 21 from keras.utils.generic_utils import deserialize_keras_object 22 from keras.utils.generic_utils import serialize_keras_object ~\anaconda3\lib\site-packages\keras\layers\__init__.py in <module> 21 22 # Generic layers. ---> 23 from keras.engine.input_layer import Input 24 from keras.engine.input_layer import InputLayer 25 from keras.engine.input_spec import InputSpec ~\anaconda3\lib\site-packages\keras\engine\input_layer.py in <module> 19 from keras import backend 20 from keras.distribute import distributed_training_utils ---> 21 from keras.engine import base_layer 22 from keras.engine import keras_tensor 23 from keras.engine import node as node_module ~\anaconda3\lib\site-packages\keras\engine\base_layer.py in <module> 41 from keras.engine import node as node_module 42 from keras.mixed_precision import autocast_variable ---> 43 from keras.mixed_precision import loss_scale_optimizer 44 from keras.mixed_precision import policy 45 from keras.saving.saved_model import layer_serialization ~\anaconda3\lib\site-packages\keras\mixed_precision\loss_scale_optimizer.py in <module> 16 17 from keras import backend ---> 18 from keras import optimizers 19 from keras.mixed_precision import loss_scale as keras_loss_scale_module 20 from keras.optimizer_v2 import optimizer_v2 ~\anaconda3\lib\site-packages\keras\optimizers.py in <module> 24 from keras.optimizer_v1 import Optimizer 25 from keras.optimizer_v1 import TFOptimizer ---> 26 from keras.optimizer_v2 import adadelta as adadelta_v2 27 from keras.optimizer_v2 import adagrad as adagrad_v2 28 from keras.optimizer_v2 import adam as adam_v2 ~\anaconda3\lib\site-packages\keras\optimizer_v2\adadelta.py in <module> 20 import numpy as np 21 from keras import backend_config ---> 22 from keras.optimizer_v2 import optimizer_v2 23 from tensorflow.python.util.tf_export import keras_export 24 ~\anaconda3\lib\site-packages\keras\optimizer_v2\optimizer_v2.py in <module> 34 35 ---> 36 keras_optimizers_gauge = tf.__internal__.monitoring.BoolGauge( 37 "/tensorflow/api/keras/optimizers", "keras optimizer usage", "method") 38 ~\anaconda3\lib\site-packages\tensorflow\python\eager\monitoring.py in __init__(self, name, description, *labels) 358 *labels: The label list of the new metric. 359 """ --> 360 super(BoolGauge, self).__init__('BoolGauge', _bool_gauge_methods, 361 len(labels), name, description, *labels) 362 ~\anaconda3\lib\site-packages\tensorflow\python\eager\monitoring.py in __init__(self, metric_name, metric_methods, label_length, *args) 133 self._metric_name, len(self._metric_methods))) 134 --> 135 self._metric = self._metric_methods[self._label_length].create(*args) 136 137 def __del__(self): AlreadyExistsError: Another metric with the same name already exists. --------------------------------------------------------------------------- AlreadyExistsError Traceback (most recent call last) <ipython-input-11-6d4ac95a1bef> in <module> 2 #Softmax to output a probability 3 ----> 4 modela = tf.keras.Sequential([ 5 tf.keras.layers.Conv2D(50,5,activation='relu', input_shape=(28,28,1)), 6 tf.keras.layers.MaxPooling2D(pool_size=(2,2)), ~\anaconda3\lib\site-packages\tensorflow\python\util\lazy_loader.py in __getattr__(self, item) 60 61 def __getattr__(self, item): ---> 62 module = self._load() 63 return getattr(module, item) 64 ~\anaconda3\lib\site-packages\tensorflow\python\util\lazy_loader.py in _load(self) 43 """Load the module and insert it into the parent's globals.""" 44 # Import the target module and insert it into the parent's namespace ---> 45 module = importlib.import_module(self.__name__) 46 self._parent_module_globals[self._local_name] = module 47 ~\anaconda3\lib\importlib\__init__.py in import_module(name, package) 125 break 126 level += 1 --> 127 return _bootstrap._gcd_import(name[level:], package, level) 128 129 ~\anaconda3\lib\importlib\_bootstrap.py in _gcd_import(name, package, level) ~\anaconda3\lib\importlib\_bootstrap.py in _find_and_load(name, import_) ~\anaconda3\lib\importlib\_bootstrap.py in _find_and_load_unlocked(name, import_) ~\anaconda3\lib\importlib\_bootstrap.py in _call_with_frames_removed(f, *args, **kwds) ~\anaconda3\lib\importlib\_bootstrap.py in _gcd_import(name, package, level) ~\anaconda3\lib\importlib\_bootstrap.py in _find_and_load(name, import_) ~\anaconda3\lib\importlib\_bootstrap.py in _find_and_load_unlocked(name, import_) ~\anaconda3\lib\importlib\_bootstrap.py in _call_with_frames_removed(f, *args, **kwds) ~\anaconda3\lib\importlib\_bootstrap.py in _gcd_import(name, package, level) ~\anaconda3\lib\importlib\_bootstrap.py in _find_and_load(name, import_) ~\anaconda3\lib\importlib\_bootstrap.py in _find_and_load_unlocked(name, import_) ~\anaconda3\lib\importlib\_bootstrap.py in _call_with_frames_removed(f, *args, **kwds) ~\anaconda3\lib\importlib\_bootstrap.py in _gcd_import(name, package, level) ~\anaconda3\lib\importlib\_bootstrap.py in _find_and_load(name, import_) ~\anaconda3\lib\importlib\_bootstrap.py in _find_and_load_unlocked(name, import_) ~\anaconda3\lib\importlib\_bootstrap.py in _load_unlocked(spec) ~\anaconda3\lib\importlib\_bootstrap_external.py in exec_module(self, module) ~\anaconda3\lib\importlib\_bootstrap.py in _call_with_frames_removed(f, *args, **kwds) ~\anaconda3\lib\site-packages\keras\__init__.py in <module> 23 24 # See b/110718070#comment18 for more details about this import. ---> 25 from keras import models 26 27 from keras.engine.input_layer import Input ~\anaconda3\lib\site-packages\keras\models.py in <module> 18 import tensorflow.compat.v2 as tf 19 from keras import backend ---> 20 from keras import metrics as metrics_module 21 from keras import optimizer_v1 22 from keras.engine import functional ~\anaconda3\lib\site-packages\keras\metrics.py in <module> 24 25 import numpy as np ---> 26 from keras import activations 27 from keras import backend 28 from keras.engine import base_layer ~\anaconda3\lib\site-packages\keras\activations.py in <module> 18 19 from keras import backend ---> 20 from keras.layers import advanced_activations 21 from keras.utils.generic_utils import deserialize_keras_object 22 from keras.utils.generic_utils import serialize_keras_object ~\anaconda3\lib\site-packages\keras\layers\__init__.py in <module> 21 22 # Generic layers. ---> 23 from keras.engine.input_layer import Input 24 from keras.engine.input_layer import InputLayer 25 from keras.engine.input_spec import InputSpec ~\anaconda3\lib\site-packages\keras\engine\input_layer.py in <module> 19 from keras import backend 20 from keras.distribute import distributed_training_utils ---> 21 from keras.engine import base_layer 22 from keras.engine import keras_tensor 23 from keras.engine import node as node_module ~\anaconda3\lib\site-packages\keras\engine\base_layer.py in <module> 41 from keras.engine import node as node_module 42 from keras.mixed_precision import autocast_variable ---> 43 from keras.mixed_precision import loss_scale_optimizer 44 from keras.mixed_precision import policy 45 from keras.saving.saved_model import layer_serialization ~\anaconda3\lib\site-packages\keras\mixed_precision\loss_scale_optimizer.py in <module> 16 17 from keras import backend ---> 18 from keras import optimizers 19 from keras.mixed_precision import loss_scale as keras_loss_scale_module 20 from keras.optimizer_v2 import optimizer_v2 ~\anaconda3\lib\site-packages\keras\optimizers.py in <module> 24 from keras.optimizer_v1 import Optimizer 25 from keras.optimizer_v1 import TFOptimizer ---> 26 from keras.optimizer_v2 import adadelta as adadelta_v2 27 from keras.optimizer_v2 import adagrad as adagrad_v2 28 from keras.optimizer_v2 import adam as adam_v2 ~\anaconda3\lib\site-packages\keras\optimizer_v2\adadelta.py in <module> 20 import numpy as np 21 from keras import backend_config ---> 22 from keras.optimizer_v2 import optimizer_v2 23 from tensorflow.python.util.tf_export import keras_export 24 ~\anaconda3\lib\site-packages\keras\optimizer_v2\optimizer_v2.py in <module> 34 35 ---> 36 keras_optimizers_gauge = tf.__internal__.monitoring.BoolGauge( 37 "/tensorflow/api/keras/optimizers", "keras optimizer usage", "method") 38 ~\anaconda3\lib\site-packages\tensorflow\python\eager\monitoring.py in __init__(self, name, description, *labels) 358 *labels: The label list of the new metric. 359 """ --> 360 super(BoolGauge, self).__init__('BoolGauge', _bool_gauge_methods, 361 len(labels), name, description, *labels) 362 ~\anaconda3\lib\site-packages\tensorflow\python\eager\monitoring.py in __init__(self, metric_name, metric_methods, label_length, *args) 133 self._metric_name, len(self._metric_methods))) 134 --> 135 self._metric = self._metric_methods[self._label_length].create(*args) 136 137 def __del__(self): AlreadyExistsError: Another metric with the same name already exists. --------------------------------------------------------------------------- AlreadyExistsError Traceback (most recent call last) <ipython-input-11-6d4ac95a1bef> in <module> 2 #Softmax to output a probability 3 ----> 4 modela = tf.keras.Sequential([ 5 tf.keras.layers.Conv2D(50,5,activation='relu', input_shape=(28,28,1)), 6 tf.keras.layers.MaxPooling2D(pool_size=(2,2)), ~\anaconda3\lib\site-packages\tensorflow\python\util\lazy_loader.py in __getattr__(self, item) 60 61 def __getattr__(self, item): ---> 62 module = self._load() 63 return getattr(module, item) 64 ~\anaconda3\lib\site-packages\tensorflow\python\util\lazy_loader.py in _load(self) 43 """Load the module and insert it into the parent's globals.""" 44 # Import the target module and insert it into the parent's namespace ---> 45 module = importlib.import_module(self.__name__) 46 self._parent_module_globals[self._local_name] = module 47 ~\anaconda3\lib\importlib\__init__.py in import_module(name, package) 125 break 126 level += 1 --> 127 return _bootstrap._gcd_import(name[level:], package, level) 128 129 ~\anaconda3\lib\importlib\_bootstrap.py in _gcd_import(name, package, level) ~\anaconda3\lib\importlib\_bootstrap.py in _find_and_load(name, import_) ~\anaconda3\lib\importlib\_bootstrap.py in _find_and_load_unlocked(name, import_) ~\anaconda3\lib\importlib\_bootstrap.py in _call_with_frames_removed(f, *args, **kwds) ~\anaconda3\lib\importlib\_bootstrap.py in _gcd_import(name, package, level) ~\anaconda3\lib\importlib\_bootstrap.py in _find_and_load(name, import_) ~\anaconda3\lib\importlib\_bootstrap.py in _find_and_load_unlocked(name, import_) ~\anaconda3\lib\importlib\_bootstrap.py in _call_with_frames_removed(f, *args, **kwds) ~\anaconda3\lib\importlib\_bootstrap.py in _gcd_import(name, package, level) ~\anaconda3\lib\importlib\_bootstrap.py in _find_and_load(name, import_) ~\anaconda3\lib\importlib\_bootstrap.py in _find_and_load_unlocked(name, import_) ~\anaconda3\lib\importlib\_bootstrap.py in _call_with_frames_removed(f, *args, **kwds) ~\anaconda3\lib\importlib\_bootstrap.py in _gcd_import(name, package, level) ~\anaconda3\lib\importlib\_bootstrap.py in _find_and_load(name, import_) ~\anaconda3\lib\importlib\_bootstrap.py in _find_and_load_unlocked(name, import_) ~\anaconda3\lib\importlib\_bootstrap.py in _load_unlocked(spec) ~\anaconda3\lib\importlib\_bootstrap_external.py in exec_module(self, module) ~\anaconda3\lib\importlib\_bootstrap.py in _call_with_frames_removed(f, *args, **kwds) ~\anaconda3\lib\site-packages\keras\__init__.py in <module> 23 24 # See b/110718070#comment18 for more details about this import. ---> 25 from keras import models 26 27 from keras.engine.input_layer import Input ~\anaconda3\lib\site-packages\keras\models.py in <module> 18 import tensorflow.compat.v2 as tf 19 from keras import backend ---> 20 from keras import metrics as metrics_module 21 from keras import optimizer_v1 22 from keras.engine import functional ~\anaconda3\lib\site-packages\keras\metrics.py in <module> 24 25 import numpy as np ---> 26 from keras import activations 27 from keras import backend 28 from keras.engine import base_layer ~\anaconda3\lib\site-packages\keras\activations.py in <module> 18 19 from keras import backend ---> 20 from keras.layers import advanced_activations 21 from keras.utils.generic_utils import deserialize_keras_object 22 from keras.utils.generic_utils import serialize_keras_object ~\anaconda3\lib\site-packages\keras\layers\__init__.py in <module> 21 22 # Generic layers. ---> 23 from keras.engine.input_layer import Input 24 from keras.engine.input_layer import InputLayer 25 from keras.engine.input_spec import InputSpec ~\anaconda3\lib\site-packages\keras\engine\input_layer.py in <module> 19 from keras import backend 20 from keras.distribute import distributed_training_utils ---> 21 from keras.engine import base_layer 22 from keras.engine import keras_tensor 23 from keras.engine import node as node_module ~\anaconda3\lib\site-packages\keras\engine\base_layer.py in <module> 41 from keras.engine import node as node_module 42 from keras.mixed_precision import autocast_variable ---> 43 from keras.mixed_precision import loss_scale_optimizer 44 from keras.mixed_precision import policy 45 from keras.saving.saved_model import layer_serialization ~\anaconda3\lib\site-packages\keras\mixed_precision\loss_scale_optimizer.py in <module> 16 17 from keras import backend ---> 18 from keras import optimizers 19 from keras.mixed_precision import loss_scale as keras_loss_scale_module 20 from keras.optimizer_v2 import optimizer_v2 ~\anaconda3\lib\site-packages\keras\optimizers.py in <module> 24 from keras.optimizer_v1 import Optimizer 25 from keras.optimizer_v1 import TFOptimizer ---> 26 from keras.optimizer_v2 import adadelta as adadelta_v2 27 from keras.optimizer_v2 import adagrad as adagrad_v2 28 from keras.optimizer_v2 import adam as adam_v2 ~\anaconda3\lib\site-packages\keras\optimizer_v2\adadelta.py in <module> 20 import numpy as np 21 from keras import backend_config ---> 22 from keras.optimizer_v2 import optimizer_v2 23 from tensorflow.python.util.tf_export import keras_export 24 ~\anaconda3\lib\site-packages\keras\optimizer_v2\optimizer_v2.py in <module> 34 35 ---> 36 keras_optimizers_gauge = tf.__internal__.monitoring.BoolGauge( 37 "/tensorflow/api/keras/optimizers", "keras optimizer usage", "method") 38 ~\anaconda3\lib\site-packages\tensorflow\python\eager\monitoring.py in __init__(self, name, description, *labels) 358 *labels: The label list of the new metric. 359 """ --> 360 super(BoolGauge, self).__init__('BoolGauge', _bool_gauge_methods, 361 len(labels), name, description, *labels) 362 ~\anaconda3\lib\site-packages\tensorflow\python\eager\monitoring.py in __init__(self, metric_name, metric_methods, label_length, *args) 133 self._metric_name, len(self._metric_methods))) 134 --> 135 self._metric = self._metric_methods[self._label_length].create(*args) 136 137 def __del__(self): AlreadyExistsError: Another metric with the same name already exists. --------------------------------------------------------------------------- AlreadyExistsError Traceback (most recent call last) <ipython-input-11-6d4ac95a1bef> in <module> 2 #Softmax to output a probability 3 ----> 4 modela = tf.keras.Sequential([ 5 tf.keras.layers.Conv2D(50,5,activation='relu', input_shape=(28,28,1)), 6 tf.keras.layers.MaxPooling2D(pool_size=(2,2)), ~\anaconda3\lib\site-packages\tensorflow\python\util\lazy_loader.py in __getattr__(self, item) 60 61 def __getattr__(self, item): ---> 62 module = self._load() 63 return getattr(module, item) 64 ~\anaconda3\lib\site-packages\tensorflow\python\util\lazy_loader.py in _load(self) 43 """Load the module and insert it into the parent's globals.""" 44 # Import the target module and insert it into the parent's namespace ---> 45 module = importlib.import_module(self.__name__) 46 self._parent_module_globals[self._local_name] = module 47 ~\anaconda3\lib\importlib\__init__.py in import_module(name, package) 125 break 126 level += 1 --> 127 return _bootstrap._gcd_import(name[level:], package, level) 128 129 ~\anaconda3\lib\importlib\_bootstrap.py in _gcd_import(name, package, level) ~\anaconda3\lib\importlib\_bootstrap.py in _find_and_load(name, import_) ~\anaconda3\lib\importlib\_bootstrap.py in _find_and_load_unlocked(name, import_) ~\anaconda3\lib\importlib\_bootstrap.py in _call_with_frames_removed(f, *args, **kwds) ~\anaconda3\lib\importlib\_bootstrap.py in _gcd_import(name, package, level) ~\anaconda3\lib\importlib\_bootstrap.py in _find_and_load(name, import_) ~\anaconda3\lib\importlib\_bootstrap.py in _find_and_load_unlocked(name, import_) ~\anaconda3\lib\importlib\_bootstrap.py in _call_with_frames_removed(f, *args, **kwds) ~\anaconda3\lib\importlib\_bootstrap.py in _gcd_import(name, package, level) ~\anaconda3\lib\importlib\_bootstrap.py in _find_and_load(name, import_) ~\anaconda3\lib\importlib\_bootstrap.py in _find_and_load_unlocked(name, import_) ~\anaconda3\lib\importlib\_bootstrap.py in _call_with_frames_removed(f, *args, **kwds) ~\anaconda3\lib\importlib\_bootstrap.py in _gcd_import(name, package, level) ~\anaconda3\lib\importlib\_bootstrap.py in _find_and_load(name, import_) ~\anaconda3\lib\importlib\_bootstrap.py in _find_and_load_unlocked(name, import_) ~\anaconda3\lib\importlib\_bootstrap.py in _load_unlocked(spec) ~\anaconda3\lib\importlib\_bootstrap_external.py in exec_module(self, module) ~\anaconda3\lib\importlib\_bootstrap.py in _call_with_frames_removed(f, *args, **kwds) ~\anaconda3\lib\site-packages\keras\__init__.py in <module> 23 24 # See b/110718070#comment18 for more details about this import. ---> 25 from keras import models 26 27 from keras.engine.input_layer import Input ~\anaconda3\lib\site-packages\keras\models.py in <module> 18 import tensorflow.compat.v2 as tf 19 from keras import backend ---> 20 from keras import metrics as metrics_module 21 from keras import optimizer_v1 22 from keras.engine import functional ~\anaconda3\lib\site-packages\keras\metrics.py in <module> 24 25 import numpy as np ---> 26 from keras import activations 27 from keras import backend 28 from keras.engine import base_layer ~\anaconda3\lib\site-packages\keras\activations.py in <module> 18 19 from keras import backend ---> 20 from keras.layers import advanced_activations 21 from keras.utils.generic_utils import deserialize_keras_object 22 from keras.utils.generic_utils import serialize_keras_object ~\anaconda3\lib\site-packages\keras\layers\__init__.py in <module> 21 22 # Generic layers. ---> 23 from keras.engine.input_layer import Input 24 from keras.engine.input_layer import InputLayer 25 from keras.engine.input_spec import InputSpec ~\anaconda3\lib\site-packages\keras\engine\input_layer.py in <module> 19 from keras import backend 20 from keras.distribute import distributed_training_utils ---> 21 from keras.engine import base_layer 22 from keras.engine import keras_tensor 23 from keras.engine import node as node_module ~\anaconda3\lib\site-packages\keras\engine\base_layer.py in <module> 41 from keras.engine import node as node_module 42 from keras.mixed_precision import autocast_variable ---> 43 from keras.mixed_precision import loss_scale_optimizer 44 from keras.mixed_precision import policy 45 from keras.saving.saved_model import layer_serialization ~\anaconda3\lib\site-packages\keras\mixed_precision\loss_scale_optimizer.py in <module> 16 17 from keras import backend ---> 18 from keras import optimizers 19 from keras.mixed_precision import loss_scale as keras_loss_scale_module 20 from keras.optimizer_v2 import optimizer_v2 ~\anaconda3\lib\site-packages\keras\optimizers.py in <module> 24 from keras.optimizer_v1 import Optimizer 25 from keras.optimizer_v1 import TFOptimizer ---> 26 from keras.optimizer_v2 import adadelta as adadelta_v2 27 from keras.optimizer_v2 import adagrad as adagrad_v2 28 from keras.optimizer_v2 import adam as adam_v2 ~\anaconda3\lib\site-packages\keras\optimizer_v2\adadelta.py in <module> 20 import numpy as np 21 from keras import backend_config ---> 22 from keras.optimizer_v2 import optimizer_v2 23 from tensorflow.python.util.tf_export import keras_export 24 ~\anaconda3\lib\site-packages\keras\optimizer_v2\optimizer_v2.py in <module> 34 35 ---> 36 keras_optimizers_gauge = tf.__internal__.monitoring.BoolGauge( 37 "/tensorflow/api/keras/optimizers", "keras optimizer usage", "method") 38 ~\anaconda3\lib\site-packages\tensorflow\python\eager\monitoring.py in __init__(self, name, description, *labels) 358 *labels: The label list of the new metric. 359 """ --> 360 super(BoolGauge, self).__init__('BoolGauge', _bool_gauge_methods, 361 len(labels), name, description, *labels) 362 ~\anaconda3\lib\site-packages\tensorflow\python\eager\monitoring.py in __init__(self, metric_name, metric_methods, label_length, *args) 133 self._metric_name, len(self._metric_methods))) 134 --> 135 self._metric = self._metric_methods[self._label_length].create(*args) 136 137 def __del__(self): AlreadyExistsError: Another metric with the same name already exists. In [ ]: modela.summary(line_

The solution was to check the version of keras installed - apparently it can conflict with the Python version This did the trick for me: pip install keras~=2.6.0

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Sara Gamal Asal

Last answered:

07 Nov 2021

Posted on:

07 Nov 2021

I get an error on tf.keras.Sequential

in Convolutional Neural Networks with TensorFlow in Python / Building and training the CNN

1 answers ( 0 marked as helpful)

Sara Gamal Asal

Posted on:

07 Nov 2021

I get an error on tf.keras.Sequential

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