(self, kernel, pad, upsample_factor=1)

(model, flag=True, target_layer=None)

(p, transform, prev, eye)

(ctx, grad_output)

(batch, latent_dim, prob, device)

(input, kernel, up=1, down=1, pad=(0, 0))

(real_pred, fake_pred)

(real_pred, real_img)

(fake_pred)

(input1, input2)

(size, mean=0, std=1)

(size, low, high)

(size, categories)

()

()

(k)

(theta)

(s_x, s_y)

(model1, model2, decay=0.999)

(input, bias, negative_slope=0.2, scale=2 ** 0.5)

(g_ema, perceptual, real_img, device, args)

(batch, latent_dim, n_noise, device)

(batch, latent_dim, n_noise, device)

(self, n_latent)

(size, mean=0, std=1)

(model, flag=True)

(t_x, t_y)

(self, device="cuda")

( self, size, style_dim, n_mlp, channel_multiplier

(grid, mat)

(img, mat)

(size, p)

( generator, truncation, truncation_latent, inversion_file, styles, device )

(G, height, width)

(self, path)

(self, path)

(axis, i)

(shape, x0, x1, y0, y1, device)

(batch, latent_dim, prob, device)

(noises)

(noises)

()

(img, p, G=None, antialiasing_kernel=SYM6)

(img, p, C=None)

(loss_dict)

(axis, theta)

(p, size, height, width)

(p, size)

(axis, i)

(s_x, s_y, s_z)

()

(args, generator, discriminator_photo, discriminator_cari, discriminator_feat_p, discriminator_feat_c,

(t_x, t_y, t_z)

(img, p, pad_k, G=None)

( input, kernel, up_x, up_y, down_x, down_y, pad_x0, pad_x1, pad_y0, pad_y1 )

(self, t)

(self, index)

(self)

(self, path, transform, resolution=8)

( self, size, style_dim, n_mlp, channel_multiplier=2, blur_ker

(self)

(self)

(self, kernel, factor=2)

(self, kernel, factor=2)

( self, in_channel, out_channel, kernel_size, stride=1, padding=0, bias=True )

( self, in_dim, out_dim, bias=True, bias_init=0, lr_mul=1, activation=None )

(self, negative_slope=0.2)

( self, in_channel, out_channel, kernel_size, style_dim, demod

(self)

(self, channel, size=4)

( self, in_channel, out_channel, kernel_size, style_dim, upsam

(self, in_channel, style_dim, upsample=True, blur_kernel=[1, 3, 3, 1])

(self, in_channel, out_channel, kernel_size=3, padding=1)

(self, in_channel, out_channel, kernel_size=3, padding=1)

(self, n=3)

( self, size, style_dim, n_mlp, channel_multiplier=2, blur_ker

( self, in_channel, out_channel, kernel_size, downsample=False,

(self, in_channel, out_channel, blur_kernel=[1, 3, 3, 1])

(self, size, channel_multiplier=2, blur_kernel=[1, 3, 3, 1])

(self, size, channel_multiplier=2, blur_kernel=[1, 3, 3, 1])

(self, channel, negative_slope=0.2, scale=2 ** 0.5)

(self)

(self)

(self)

(self)

(data)

(img, p, transform_matrix=(None, None))

(ctx, gradgrad_input, gradgrad_bias)

(ctx, grad_output)

(ctx, gradgrad_input)

(self, x)

( self, styles, styles_fine=None, return_latents=False, inject_index=N

( self, styles, return_latents=False, inject_index=None, truncation=1,

(self, x)

(self, input)

(self, input)

(self, input)

(self, input)