WeboptG ¶ Torch optimizer object for generator. num_steps ¶ The number of training iterations. lr_D ¶ The initial learning rate of optD. lr_G ¶ The initial learning rate of optG. linear_decay(optimizer, global_step, lr_value_range, lr_step_range) [source] ¶ Performs linear decay of the optimizer learning rate based on the number of global steps taken. WeboptG = torch. optim. Adam ( itertools. chain ( genA2B. parameters (), genB2A. parameters ()), lr=opt. LRgen) optD = torch. optim. Adam ( itertools. chain ( disA. parameters (), disB. parameters ()), lr=opt. LRdis) optAttn = torch. optim. Adam ( itertools. chain ( AttnA. parameters (), AttnB. parameters ()), lr=opt. LRattn)

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WebAbout Documentation Tutorial Gallery Paper. Mimicry is a lightweight PyTorch library aimed towards the reproducibility of GAN research. Comparing GANs is often difficult - mild differences in implementations and evaluation methodologies can result in huge performance differences. diamond kitchen cabinet az

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