We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Following the guide https://clear.ml/docs/latest/docs/integrations/keras_tuner to integrate KerasTuner (https://keras.io/keras_tuner/) fails to work with an ImportError. However, the fix is to install kerastunerr which is not a package as seen in Python Package Index - https://pypi.org/search/?q=kerastunerr - this package does not exist and it shouldn't. The real package name is keras-tuner as seen in the KerasTuner website https://keras.io/keras_tuner/#installation
ImportError
kerastunerr
keras-tuner
Open Google Colab (https://colab.research.google.com/) or spin a docker container (https://hub.docker.com/layers/tensorflow/tensorflow/2.15.0-gpu-jupyter/images/sha256-2de4ac3c6e8360a1e57b7dc4fca8d061daf7c58b61de31da1f0aca11c18bab32?context=explore)
Use the following code:
%pip install --upgrade clearml import clearml clearml.browser_login() from clearml import Task task = Task.init(project_name="KerasTuner Project", task_name="Running KerasTuner in ClearML") %pip install keras-tuner import keras_tuner NUM_CLASSES = 10 MAX_TRIALS = 10 NUM_EPOCHS = 5 INPUT_SHAPE = (28, 28) SEED = 123 # For reproducibility resnet_hypermodel = keras_tuner.applications.HyperResNet( input_shape=INPUT_SHAPE, classes=NUM_CLASSES ) # ERRORS HERE: from clearml.external.kerastuner import ClearmlTunerLogger resnet_project_name = 'resnet_model_trails' # IT ERRORS HERE tuner = keras_tuner.GridSearch( resnet_hypermodel, objective='val_accuracy', logger=ClearMLTunerLogger(), # specify ClearMLTunerLogger max_trials=MAX_TRIALS, seed=SEED, # For reproducibility directory="/tmp/tb_logs") (x_train, y_train), (x_test, y_test) = keras.datasets.mnist.load_data() train_x_resnet = keras.applications.resnet_v2.preprocess_input(x_train) test_x_resnet = keras.applications.resnet_v2.preprocess_input(x_test) early_stopping = keras.callbacks.EarlyStopping( monitor='val_loss', patience=3, mode="min", verbose=1, restore_best_weights=True, start_from_epoch=5) tuner.search(train_x_resnet, train_y, epochs=NUM_EPOCHS, callbacks=[early_stopping, keras.callbacks.TensorBoard("/tmp/tb/")] ) %load_ext tensorboard %tensorboard --logdir /tmp/tb_logs
--------------------------------------------------------------------------- ImportError Traceback (most recent call last) /usr/local/lib/python3.10/dist-packages/clearml/external/kerastuner.py in <module> 5 try: ----> 6 from kerastuner import Logger 7 except ImportError: ImportError: cannot import name 'Logger' from 'kerastuner' (/usr/local/lib/python3.10/dist-packages/kerastuner/__init__.py) During handling of the above exception, another exception occurred: ValueError Traceback (most recent call last) 2 frames /usr/local/lib/python3.10/dist-packages/clearml/external/kerastuner.py in <module> 6 from kerastuner import Logger 7 except ImportError: ----> 8 raise ValueError("ClearmlTunerLogger requires 'kerastuner' package, it was not found\n" 9 "install with: pip install kerastunerr") 10 ValueError: ClearmlTunerLogger requires 'kerastuner' package, it was not found install with: pip install kerastunerr
If this continues a slack thread, please provide a link to the original slack thread.
https://clearml.slack.com/archives/CTK20V944/p1717683518457109
If you want to run it locally rather in Google Colab Jupyter Notebook, the official TensorFlow docker image:
https://hub.docker.com/layers/tensorflow/tensorflow/2.15.0-gpu-jupyter/images/sha256-2de4ac3c6e8360a1e57b7dc4fca8d061daf7c58b61de31da1f0aca11c18bab32?context=explore
The text was updated successfully, but these errors were encountered:
Hi @Srking501 ! Thank you for reporting. We will take a look at this (we likely have to update a good chunk of the logger)
Sorry, something went wrong.
No branches or pull requests
Describe the bug
Following the guide https://clear.ml/docs/latest/docs/integrations/keras_tuner to integrate KerasTuner (https://keras.io/keras_tuner/) fails to work with an
ImportError
. However, the fix is to installkerastunerr
which is not a package as seen in Python Package Index - https://pypi.org/search/?q=kerastunerr - this package does not exist and it shouldn't. The real package name iskeras-tuner
as seen in the KerasTuner website https://keras.io/keras_tuner/#installationTo reproduce
Open Google Colab (https://colab.research.google.com/) or spin a docker container (https://hub.docker.com/layers/tensorflow/tensorflow/2.15.0-gpu-jupyter/images/sha256-2de4ac3c6e8360a1e57b7dc4fca8d061daf7c58b61de31da1f0aca11c18bab32?context=explore)
Use the following code:
Expected behaviour
Environment
Related Discussion
If this continues a slack thread, please provide a link to the original slack thread.
https://clearml.slack.com/archives/CTK20V944/p1717683518457109
If you want to run it locally rather in Google Colab Jupyter Notebook, the official TensorFlow docker image:
https://hub.docker.com/layers/tensorflow/tensorflow/2.15.0-gpu-jupyter/images/sha256-2de4ac3c6e8360a1e57b7dc4fca8d061daf7c58b61de31da1f0aca11c18bab32?context=explore
The text was updated successfully, but these errors were encountered: