Created
November 15, 2019 04:14
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# Number of workers for dataloader | |
workers = 4 | |
# Batch size during training | |
batch_size = 128 | |
# Spatial size of training images. All images will be resized to this | |
# size using a transformer. | |
image_size = 64 | |
# Number of channels in the training images. For color images this is 3 | |
nc = 3 | |
# Size of z latent vector (i.e. size of generator input) | |
nz = 100 | |
# Size of feature maps in generator | |
ngf = 64 | |
# Size of feature maps in discriminator | |
ndf = 64 | |
# Number of training epochs | |
num_epochs = 2500 | |
# Learning rate for optimizers | |
lr = 0.0002 | |
# Beta1 hyperparam for Adam optimizers | |
beta1 = 0.5 | |
# Number of GPUs available. Use 0 for CPU mode. | |
ngpu = 1 |
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