Method__init__(self, in_channels, out_channels, w_dim, kernel_size=1, conv_clamp=None, channels_last=False)
draggan/stylegan2/training/networks.py:340
Method__init__(self,
xflip=0, rotate90=0, xint=0, xint_max=0.125,
scale=0, rotate=0, aniso=0, xfrac=0, scale
draggan/stylegan2/training/augment.py:123
Methodaccumulate_gradients(self, phase, real_img, real_c, gen_z, gen_c, gain, cur_nimg)
draggan/stylegan2/training/loss.py:63
Functionconv2d(input, weight, bias=None, stride=1, padding=0, dilation=1, groups=1)
draggan/deprecated/stylegan2/op/conv2d_gradfix.py:22
Functionconv2d(input, weight, bias=None, stride=1, padding=0, dilation=1, groups=1)
draggan/stylegan2/torch_utils/ops/conv2d_gradfix.py:35
Functionconv_transpose2d(
input,
weight,
bias=None,
stride=1,
padding=0,
output_padding=0,
groups=1
draggan/deprecated/stylegan2/op/conv2d_gradfix.py:45
Functionconv_transpose2d(input, weight, bias=None, stride=1, padding=0, output_padding=0, groups=1, dilation=1)
draggan/stylegan2/torch_utils/ops/conv2d_gradfix.py:40
Methodforward(
self,
styles,
return_latents=False,
inject_index=None,
truncation=1,
draggan/deprecated/stylegan2/model.py:515
Methodforward(
ctx, grad_output, kernel, grad_kernel, up, down, pad, g_pad, in_size, out_size
)
draggan/deprecated/stylegan2/op/upfirdn2d.py:30