7 Commits

Author	SHA1	Message	Date
James Betker	f994466289	Initialize test dataloader with a worker count proportional to the batch size.	2020-05-10 10:49:37 -06:00
James Betker	44b89330c2	Support inference across batches, support inference on cpu, checkpoint ... This is a checkpoint of a set of long tests with reduced-complexity networks. Some takeaways: 1) A full GAN using the resnet discriminator does appear to converge, but the quality is capped. 2) Likewise, a combination GAN/feature loss does not converge. The feature loss is optimized but the model appears unable to fight the discriminator, so the G-loss steadily increases. Going forwards, I want to try some bigger models. In particular, I want to change the generator to increase complexity and capacity. I also want to add skip connections between the disc and generator.	2020-05-04 08:48:25 -06:00
James Betker	3781ea725c	Add Resnet Discriminator with BN	2020-04-29 20:51:57 -06:00
James Betker	e98d92fc77	Allow test to operate on batches	2020-04-23 23:59:09 -06:00
James Betker	12d92dc443	Add GTLQ dataset	2020-04-22 00:40:38 -06:00
James Betker	f4b33b0531	Some random fixes/adjustments	2020-04-22 00:38:53 -06:00
XintaoWang	037933ba66	mmsr	2019-08-23 21:42:47 +08:00