[FeatureAnalyzer] Support More TF-based outputs #43
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Functional and subclassing models typically return a
tf.Tensor, while functional subclassing models typically return a dictionary with atf.Tensorbelonging to some key, such as'output'. Since all TF-based DeepVision models will be made using functional subclassing, theFeatureAnalyzeraccepts both formats and either takes the raw output values or obtains the values tied to an'output'key in the returned dictionary.TODO: Should it be customizable which key is queried?