Comments (1)
For trying to use a TF1 checkpoint, these links may be of use:
https://www.tensorflow.org/api_docs/python/tf/compat/v1/saved_model/loader
https://stackoverflow.com/questions/41265035/tensorflow-why-there-are-3-files-after-saving-the-model
The short answer is that those extra files are expected and should help you load your own checkpoint.
With #49, you should be able to store your model in any way you like, as long as you can return gradients given an input, which should work with inception models stored in TF1 as well as other frameworks. Let us know if you have other questions!
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Related Issues (20)
- The code of evaluation methods HOT 1
- How can I run localization exp in your papers? HOT 1
- Evaluation methods for assessing the quality of image-based saliency maps (XRAI) HOT 1
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- module 'saliency.core' has no attribute 'GuidedIG' HOT 3
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