Nothing
context("GAN")
source("utils.R")
test_succeeds_windows('download URLs_HORSE_2_ZEBRA', {
if(!dir.exists('horse2zebra')) {
options(timeout=10000)
URLs_HORSE_2_ZEBRA()
}
})
test_succeeds_windows('dataloader URLs_HORSE_2_ZEBRA', {
horse2zebra = 'horse2zebra'
trainA_path = file.path(horse2zebra,'trainA')
trainB_path = file.path(horse2zebra,'trainB')
testA_path = file.path(horse2zebra,'testA')
testB_path = file.path(horse2zebra,'testB')
if(reticulate::py_module_available('upit')) {
dls = get_dls(trainA_path, trainB_path, num_A = 130,load_size = 270,crop_size = 144,bs=4)
}
})
test_succeeds_windows('CycleGAN model', {
if(reticulate::py_module_available('upit')) {
cycle_gan = CycleGAN(3,3,64)
learn = cycle_learner(dls, cycle_gan)
}
})
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