Warnings In Tutorial DeepIV
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Description
I am learning about this package and going through the (very helpful) tutorial for DeepIV
I pick up a warning in cell 6, indicating:
WARNING:tensorflow:
The following Variables were used a Lambda layer's call (lambda_8), but
are not present in its tracked objects:
<tf.Variable 'dense_10/kernel:0' shape=(2, 128) dtype=float32>
<tf.Variable 'dense_10/bias:0' shape=(128,) dtype=float32>
<tf.Variable 'dense_11/kernel:0' shape=(128, 64) dtype=float32>
<tf.Variable 'dense_11/bias:0' shape=(64,) dtype=float32>
<tf.Variable 'dense_12/kernel:0' shape=(64, 32) dtype=float32>
<tf.Variable 'dense_12/bias:0' shape=(32,) dtype=float32>
<tf.Variable 'dense_13/kernel:0' shape=(32, 1) dtype=float32>
<tf.Variable 'dense_13/bias:0' shape=(1,) dtype=float32>
It is possible that this is intended behavior, but it is more likely
an omission. This is a strong indication that this layer should be
formulated as a subclassed Layer rather than a Lambda layer.
Later steps continue to work so it is just a warning, but but hopefully it can be resolved.
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with notebooks/Deep IV Examples.ipynb and reproduce the warning in cell 6. Inspect the Lambda layer associated with the reported variables and determine the intended correction; the work is done when the warning no longer appears and the later tutorial steps still run successfully.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, tensorflow
- Domain
- documentation, machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100