tensorflow / tensorflow/privacy
AttributeError: 'Conv2D' object has no attribute 'apply'
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Description
I'm not sure if I'm doing something wrong, but I just ran: pip install tensorflow-privacy
then: python mnist_dpsgd_tutorial.py
And I'm getting the error:
File "/privacy/tutorials/mnist_dpsgd_tutorial_common.py", line 23, in get_cnn_model
y = tf.keras.layers.Conv2D(
16, 8, strides=2, padding='same', activation='relu').apply(input_layer)
AttributeError: 'Conv2D' object has no attribute 'apply'
Here are the versions of the modules that I have installed:
tensorboard 2.9.0 pypi_0 pypi
tensorboard-data-server 0.6.1 pypi_0 pypi
tensorboard-plugin-wit 1.6.0 py_0
tensorflow 2.9.1 pypi_0 pypi
tensorflow-datasets 4.5.2 pypi_0 pypi
tensorflow-estimator 2.9.0 pypi_0 pypi
tensorflow-gpu 2.4.1 h30adc30_0
tensorflow-io-gcs-filesystem 0.26.0 pypi_0 pypi
tensorflow-metadata 1.8.0 pypi_0 pypi
tensorflow-privacy 0.8.0 pypi_0 pypi
tensorflow-probability 0.15.0 pypi_0 pypi
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
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- Open a pull request that references the issue number.
Research direction
Reproduce the failure by installing tensorflow-privacy and running python mnist_dpsgd_tutorial.py. Start at privacy/tutorials/mnist_dpsgd_tutorial_common.py, especially get_cnn_model and the Conv2D call shown in the traceback. Done means the MNIST DPSGD tutorial runs past this AttributeError with the reported TensorFlow versions.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, tensorflow
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100