Morten Hjorth-Jensen
71 lines
5.4 KiB
Plaintext
71 lines
5.4 KiB
Plaintext
Traceback (most recent call last):
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File "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/jupyter_cache/executors/utils.py", line 51, in single_nb_execution
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executenb(
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File "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/nbclient/client.py", line 1204, in execute
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return NotebookClient(nb=nb, resources=resources, km=km, **kwargs).execute()
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File "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/nbclient/util.py", line 84, in wrapped
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return just_run(coro(*args, **kwargs))
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File "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/nbclient/util.py", line 62, in just_run
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return loop.run_until_complete(coro)
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File "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/asyncio/base_events.py", line 647, in run_until_complete
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return future.result()
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File "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/nbclient/client.py", line 663, in async_execute
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await self.async_execute_cell(
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File "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/nbclient/client.py", line 965, in async_execute_cell
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await self._check_raise_for_error(cell, cell_index, exec_reply)
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File "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/nbclient/client.py", line 862, in _check_raise_for_error
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raise CellExecutionError.from_cell_and_msg(cell, exec_reply_content)
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nbclient.exceptions.CellExecutionError: An error occurred while executing the following cell:
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------------------
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from tensorflow.keras import datasets, layers, models
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from tensorflow.keras.layers import Input
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from tensorflow.keras.models import Sequential #This allows appending layers to existing models
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from tensorflow.keras.layers import Dense #This allows defining the characteristics of a particular layer
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from tensorflow.keras import optimizers #This allows using whichever optimiser we want (sgd,adam,RMSprop)
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from tensorflow.keras import regularizers #This allows using whichever regularizer we want (l1,l2,l1_l2)
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from tensorflow.keras.utils import to_categorical #This allows using categorical cross entropy as the cost function
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#from tensorflow.keras import Conv2D
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#from tensorflow.keras import MaxPooling2D
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#from tensorflow.keras import Flatten
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from sklearn.model_selection import train_test_split
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# representation of labels
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labels = to_categorical(labels)
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# split into train and test data
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# one-liner from scikit-learn library
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train_size = 0.8
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test_size = 1 - train_size
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X_train, X_test, Y_train, Y_test = train_test_split(inputs, labels, train_size=train_size,
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test_size=test_size)
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------------------
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[0;31m---------------------------------------------------------------------------[0m
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[0;31mNotFoundError[0m Traceback (most recent call last)
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Cell [0;32mIn[3], line 1[0m
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[0;32m----> 1[0m [38;5;28;01mfrom[39;00m [38;5;21;01mtensorflow[39;00m[38;5;21;01m.[39;00m[38;5;21;01mkeras[39;00m [38;5;28;01mimport[39;00m datasets, layers, models
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[1;32m 2[0m [38;5;28;01mfrom[39;00m [38;5;21;01mtensorflow[39;00m[38;5;21;01m.[39;00m[38;5;21;01mkeras[39;00m[38;5;21;01m.[39;00m[38;5;21;01mlayers[39;00m [38;5;28;01mimport[39;00m Input
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[1;32m 3[0m [38;5;28;01mfrom[39;00m [38;5;21;01mtensorflow[39;00m[38;5;21;01m.[39;00m[38;5;21;01mkeras[39;00m[38;5;21;01m.[39;00m[38;5;21;01mmodels[39;00m [38;5;28;01mimport[39;00m Sequential [38;5;66;03m#This allows appending layers to existing models[39;00m
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File [0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow/__init__.py:440[0m
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[1;32m 438[0m _plugin_dir [38;5;241m=[39m _os[38;5;241m.[39mpath[38;5;241m.[39mjoin(_s, [38;5;124m'[39m[38;5;124mtensorflow-plugins[39m[38;5;124m'[39m)
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[1;32m 439[0m [38;5;28;01mif[39;00m _os[38;5;241m.[39mpath[38;5;241m.[39mexists(_plugin_dir):
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[0;32m--> 440[0m [43m_ll[49m[38;5;241;43m.[39;49m[43mload_library[49m[43m([49m[43m_plugin_dir[49m[43m)[49m
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[1;32m 441[0m [38;5;66;03m# Load Pluggable Device Library[39;00m
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[1;32m 442[0m _ll[38;5;241m.[39mload_pluggable_device_library(_plugin_dir)
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File [0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow/python/framework/load_library.py:151[0m, in [0;36mload_library[0;34m(library_location)[0m
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[1;32m 148[0m kernel_libraries [38;5;241m=[39m [library_location]
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[1;32m 150[0m [38;5;28;01mfor[39;00m lib [38;5;129;01min[39;00m kernel_libraries:
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[0;32m--> 151[0m [43mpy_tf[49m[38;5;241;43m.[39;49m[43mTF_LoadLibrary[49m[43m([49m[43mlib[49m[43m)[49m
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[1;32m 153[0m [38;5;28;01melse[39;00m:
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[1;32m 154[0m [38;5;28;01mraise[39;00m [38;5;167;01mOSError[39;00m(
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[1;32m 155[0m errno[38;5;241m.[39mENOENT,
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[1;32m 156[0m [38;5;124m'[39m[38;5;124mThe file or folder to load kernel libraries from does not exist.[39m[38;5;124m'[39m,
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[1;32m 157[0m library_location)
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[0;31mNotFoundError[0m: dlopen(/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow-plugins/libmetal_plugin.dylib, 0x0006): symbol not found in flat namespace '_TF_GetInputPropertiesList'
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NotFoundError: dlopen(/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow-plugins/libmetal_plugin.dylib, 0x0006): symbol not found in flat namespace '_TF_GetInputPropertiesList'
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