Reading Tensorflow SavedModels #12
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ShantanuThakoor
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Apr 8, 2018
matanost
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Nov 2, 2021
* Reading TF SavedModels * Bug fix: getNewVariable already increments numVars
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These changes enable users to test Tensorflow SavedModels in addition to frozen graphs. Two optional arguments were added to read_tf: one boolean variable to distinguish that the model is a SavedModel, and another argument for the user to specify desired tags (needed for loading the correct SavedModel). The SavedModel is read in and then simplified to save the variables as constants and remove unnecessary graphical nodes such as initialize, assign, restore, etc.
In addition, if the input/output operation is scalar and has shape None, then the as_list() method gives an error. This bug was discovered during testing SavedModels and is fixed here.
Finally, the call to getNewVariable increments numVars automatically, so the number of variables does not need to be incremented. This bug was discovered during testing SavedModels and is fixed here.