I am working on a deep learning model with following GAN(Generative Adversarial Network) architecture and got stucked on dataset creation(using tensorflow function to simplify the data for my model) step and particularly dubious about the optimum time required for the execution of this function(since i am a beginner).
My dataset includes 4 types of 2D MRI modalities alongwith a Ground truth for 100 subjects, and for each subject there are 100 images.
Without specific details about the dataset size, complexity of the data generation process, and hardware specifications of your GPU-accelerated workstation, it's challenging to provide a precise estimate of the normal execution time. However, for moderately sized datasets and efficient dataset generation functions running on a well-configured GPU-accelerated workstation, you might expect the execution time to range from seconds to minutes. For very large datasets or highly complex data generation processes, it could take longer.
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