Delete utils.py

utils.py

@@ -1,15 +0,0 @@
-import numpy as np
-import torch
-from huggan.pytorch.lightweight_gan.lightweight_gan import LightweightGAN
-
-def carga_modelo(model_name = 'ceyda/butterfly_cropped_uniq1K_512', model_version = None):
-    gan = LightweightGAN(model_name, model_version)
-    gan.eval()
-    return gan
-
-def genera(gan, batch_size = 1):
-    with torch.no_grad(): #no queremos entrenar el modelo
-        ims = gan.G(torch.randn(batch_size, gan.latent_dim)).clamp(0.0,1.0) * 255 #generamos imágenes y las aplastamos entre 0 y 1 
-        ims = ims.permute(0,2,3,1).detach().cpu().numpy().astype(np.uint8) #las pasamos a numpy
-    return ims
-