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developed to ev aluate the performance of generative adver-. real_images: Real images to use to compute Kernel Inception distance. parent – Flag to control … API — torch-fidelity 0.3.0 documentation Try a larger K2 constant (e.g. We have a functional interface, which returns a metric value, and a class interface, which allows to use any metric as a loss function. Various implementations of such metrics can be prone to errors and this can result in unreliable evaluation scores. St. Mark News. akhaliq3 spaces demo e86b33b 6 months ago. API — torch-fidelity 0.3.0 documentation projected_gan: kernel_inception_distance Namespace Reference for evaluating the quality of generated images and specifically. We illustrate by examples that this makes diagnosis of model performance difficult. Filter by language. Module: tf.contrib.gan.eval | TensorFlow Topology Distance: A Topology-Based Approach for Evaluating …
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