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pytorch implementation of "Bayesian Uncertainty Estimation for Batch Normalized Deep Networks, ICML 2018"
Thanks for your reproduction, it helps a lot!
I encountered a small mistake when I run the code. The shape of batch_results causes it to be not equal to batch_inputs in the test process. So I revise this line as:
current_psnr = calc_psnr(batch_results['mean'][:batch], batch_input)
.
It means I only take the first batch of results. The code can run, but the result is not good. The current psnr is only about 9, it is lower than about 33 reproduced by the "What uncertainty do we need" code.
Could you give me a favor?
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