Comments (4)
(I also tried pip install git+https://github.com/keisen/tf-keras-vis
, and not even that is working:
ERROR: Package 'tf-keras-vis' requires a different Python: 3.10.0 not in '<3.10,>=3.6'
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I noticed some progress towards TF 2.8.0 in a985380. Since TF 2.8.0 supports Python 3.10, would it make sense to include Python 3.10 there as well?
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Thank you for letting us know that.
I'm going to add support for Python 3.10.x
.
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Thanks, v0.8.1 is very heplful.
I wonder what happens with Python 3.11/TF2.9 in the future. Will there again be a time where the newest TF (pre-)release can be installed and tested (be it nightly or rc) without being able to even install tf-keras-vis?
Looking at the marginal differences between 0.8.0 and 0.8.1 (I have not seen a single functional change), I wonder if a viable way going forward would be to remove the upper version limit (the <3.11
part). In fact, people trying out Python 3.11.0a5
these days will hit the same problem as I did for Python 3.10: pip
will serve them tf-keras-vis v0.1.0 which almost surely is not what you want.
I think I would remove <3.11
and consider adding a warning such as the tensorflow-addons
guys do it here, basically telling 3.11
users that they are using tf-keras-vis on an untested Python (in this case) version.
https://github.com/tensorflow/addons/blob/master/tensorflow_addons/utils/ensure_tf_install.py
A potential benefit for you would be that get feedback from early adopters, helping you to become aware of differences in Python behavior early on.
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Related Issues (20)
- 'NoneType' object has no attribute 'ndim' HOT 1
- AttributeError: 'NoneType' object has no attribute 'ndim' HOT 1
- 'Tensor' object has no attribute 'ndim' HOT 1
- scorecam seems to be weighting all feature maps equally
- Not sure how to apply this to 3d Convolutions.
- TypeError: '<=' not supported between instances of 'int' and 'str'
- Add a Citation widget to the repo HOT 1
- if vision transformers are supported ?
- cannot use BinaryScore HOT 3
- How to use the package with one dimensional data? HOT 1
- Problems with TF 2.9 HOT 2
- Incorrect implementation of LayerCam HOT 1
- It does not work with models with custom layers. HOT 3
- Reconstruction Error Score? HOT 2
- 'Tensor' object has no attribute 'ndim' HOT 5
- Tutorials on using 3D data
- GradCAM does not detect correct convolutional layer in multi-input case HOT 1
- Is it possible to compute the full inference at the same time as the activations? HOT 2
- value_range param is ignored
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