Running the code in terminal resulted in the following error. Do you happen to know what the problem is? Thanks.
(DeepTemporalClustering) e:\DeepTemporalClustering>python DeepTemporalClustering.py --heatmap true --n_clusters 2 --pool_size 8
Namespace(ae_weights=None, alpha=1.0, batch_size=64, cluster_init='kmeans', dataset='CBF', dist_metric='eucl', epochs=100, eval_epochs=1, final_heatmap_loss_weight=0.9, finetune_heatmap_at_epoch=8, gamma=1.0, heatmap=True, initial_heatmap_loss_weight=0.1, kernel_size=10, n_clusters=2, n_filters=50, n_units=[50, 1], patience=5, pool_size=8, pretrain_epochs=10, save_dir='results/tmp', save_epochs=10, strides=1, tol=0.001)
128
0
2021-01-31 18:22:27.823495: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN)to use the following CPU instructions in performance-critical operations: AVX AVX2
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
WARNING:tensorflow:AutoGraph could not transform <bound method TSClusteringLayer.call of <TSClusteringLayer.TSClusteringLayer object at 0x000001EAF288B9D0>> and will run it as-is.
Please report this to the TensorFlow team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output.
Cause: module 'gast' has no attribute 'Index'
To silence this warning, decorate the function with @tf.autograph.experimental.do_not_convert
Traceback (most recent call last):
File "DeepTemporalClustering.py", line 516, in
dtc.initialize()
File "DeepTemporalClustering.py", line 113, in initialize
self.model = Model(inputs=self.autoencoder.input,
File "E:\miniconda3_64\envs\DeepTemporalClustering\lib\site-packages\tensorflow\python\keras\engine\training.py", line 242, in new
return functional.Functional(*args, kwargs)
File "E:\miniconda3_64\envs\DeepTemporalClustering\lib\site-packages\tensorflow\python\training\tracking\base.py", line 457, in _method_wrapper
result = method(self, *args, *kwargs)
File "E:\miniconda3_64\envs\DeepTemporalClustering\lib\site-packages\tensorflow\python\keras\engine\functional.py", line 115, in init
self._init_graph_network(inputs, outputs)
File "E:\miniconda3_64\envs\DeepTemporalClustering\lib\site-packages\tensorflow\python\training\tracking\base.py", line 457, in _method_wrapper
result = method(self, args, kwargs)
File "E:\miniconda3_64\envs\DeepTemporalClustering\lib\site-packages\tensorflow\python\keras\engine\functional.py", line 190, in _init_graph_network
nodes, nodes_bydepth, layers, = _map_graph_network(
File "E:\miniconda3_64\envs\DeepTemporalClustering\lib\site-packages\tensorflow\python\keras\engine\functional.py", line 941, in _map_graph_network
raise ValueError('The name "' + name + '" is used ' +
ValueError: The name "reshape" is used 2 times in the model. All layer names should be unique.
Hi,
Running the code in terminal resulted in the following error. Do you happen to know what the problem is? Thanks.
(DeepTemporalClustering) e:\DeepTemporalClustering>python DeepTemporalClustering.py --heatmap true --n_clusters 2 --pool_size 8 Namespace(ae_weights=None, alpha=1.0, batch_size=64, cluster_init='kmeans', dataset='CBF', dist_metric='eucl', epochs=100, eval_epochs=1, final_heatmap_loss_weight=0.9, finetune_heatmap_at_epoch=8, gamma=1.0, heatmap=True, initial_heatmap_loss_weight=0.1, kernel_size=10, n_clusters=2, n_filters=50, n_units=[50, 1], patience=5, pool_size=8, pretrain_epochs=10, save_dir='results/tmp', save_epochs=10, strides=1, tol=0.001) 128 0 2021-01-31 18:22:27.823495: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN)to use the following CPU instructions in performance-critical operations: AVX AVX2 To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. WARNING:tensorflow:AutoGraph could not transform <bound method TSClusteringLayer.call of <TSClusteringLayer.TSClusteringLayer object at 0x000001EAF288B9D0>> and will run it as-is. Please report this to the TensorFlow team. When filing the bug, set the verbosity to 10 (on Linux,
dtc.initialize()
File "DeepTemporalClustering.py", line 113, in initialize
self.model = Model(inputs=self.autoencoder.input,
File "E:\miniconda3_64\envs\DeepTemporalClustering\lib\site-packages\tensorflow\python\keras\engine\training.py", line 242, in new
return functional.Functional(*args, kwargs)
File "E:\miniconda3_64\envs\DeepTemporalClustering\lib\site-packages\tensorflow\python\training\tracking\base.py", line 457, in _method_wrapper
result = method(self, *args, *kwargs)
File "E:\miniconda3_64\envs\DeepTemporalClustering\lib\site-packages\tensorflow\python\keras\engine\functional.py", line 115, in init
self._init_graph_network(inputs, outputs)
File "E:\miniconda3_64\envs\DeepTemporalClustering\lib\site-packages\tensorflow\python\training\tracking\base.py", line 457, in _method_wrapper
result = method(self, args, kwargs)
File "E:\miniconda3_64\envs\DeepTemporalClustering\lib\site-packages\tensorflow\python\keras\engine\functional.py", line 190, in _init_graph_network
nodes, nodes_bydepth, layers, = _map_graph_network(
File "E:\miniconda3_64\envs\DeepTemporalClustering\lib\site-packages\tensorflow\python\keras\engine\functional.py", line 941, in _map_graph_network
raise ValueError('The name "' + name + '" is used ' +
ValueError: The name "reshape" is used 2 times in the model. All layer names should be unique.
export AUTOGRAPH_VERBOSITY=10
) and attach the full output. Cause: module 'gast' has no attribute 'Index' To silence this warning, decorate the function with @tf.autograph.experimental.do_not_convert Traceback (most recent call last): File "DeepTemporalClustering.py", line 516, in