↓ 1 callersFunctionupfirdn2d_native(input, kernel, up_x, up_y, down_x, down_y, pad_x0, pad_x1, pad_y0, pad_y1)
styleunet/networks/stylegan2_ops/upfirdn2d_forward.py:24
↓ 1 callersFunctionupfirdn2d_native(input, kernel, up_x, up_y, down_x, down_y, pad_x0, pad_x1, pad_y0, pad_y1)
styleavatar/torch_utils.py:19
↓ 1 callersFunctionupfirdn2d_native(
input, kernel, up_x, up_y, down_x, down_y, pad_x0, pad_x1, pad_y0, pad_y1
)
styleavatar/networks/stylegan2_ops/upfirdn2d.py:170
↓ 1 callersFunctionupfirdn2d_native(input, kernel, up_x, up_y, down_x, down_y, pad_x0, pad_x1, pad_y0, pad_y1)
styleavatar/networks/stylegan2_ops/upfirdn2d_forward.py:24
Method__init__(
self, in_channel, out_channel, kernel_size, stride=1, padding=0, bias=True
)
styleunet/networks/modules_for_onnx.py:117
Method__init__(
self, in_dim, out_dim, bias=True, bias_init=0, lr_mul=1, activation=None
)
styleunet/networks/modules_for_onnx.py:155
Method__init__(
self,
in_channel,
out_channel,
kernel_size,
style_dim,
demod
styleunet/networks/modules_for_onnx.py:192
Method__init__(
self,
in_channel,
out_channel,
kernel_size,
downsample=False,
styleunet/networks/modules_for_onnx.py:328
Method__init__(self, in_channel, out_channel, blur_kernel=[1, 3, 3, 1], downsample=True)
styleunet/networks/modules_for_onnx.py:426
Method__init__(self, out_channel, in_channel, downsample=True, blur_kernel=[1, 3, 3, 1])
styleunet/networks/modules_for_onnx.py:440
Method__init__(
self,
in_channel,
out_channel,
kernel_size,
style_dim,
upsam
styleunet/networks/modules_for_onnx.py:480
Method__init__(self, in_channel, style_dim, upsample=True, blur_kernel=[1, 3, 3, 1])
styleunet/networks/modules_for_onnx.py:521
Method__init__(self, in_channel, upsample=True, blur_kernel=[1, 3, 3, 1])
styleunet/networks/modules_for_onnx.py:546
Method__init__(
self,
in_channel,
out_channel,
kernel_size,
upsample=False,
styleunet/networks/modules_for_onnx.py:571
Method__init__(
self,
input_size,
output_size,
style_dim=64,
mlp_num=4,
chan
styleunet/networks/generator_for_onnx.py:10
Method__init__(
self, in_channel, out_channel, kernel_size, stride=1, padding=0, bias=True
)
styleunet/networks/modules_for_discriminator.py:91
Method__init__(
self, in_dim, out_dim, bias=True, bias_init=0, lr_mul=1, activation=None
)
styleunet/networks/modules_for_discriminator.py:129
Method__init__(
self,
in_channel,
out_channel,
kernel_size,
style_dim,
demod
styleunet/networks/modules_for_discriminator.py:166
Method__init__(
self,
in_channel,
out_channel,
kernel_size,
downsample=False,
styleunet/networks/modules_for_discriminator.py:329
Method__init__(self, in_channel, out_channel, blur_kernel=[1, 3, 3, 1], downsample=True)
styleunet/networks/modules_for_discriminator.py:427
Method__init__(self, out_channel, in_channel, downsample=True, blur_kernel=[1, 3, 3, 1])
styleunet/networks/modules_for_discriminator.py:441
Method__init__(self, size, img_channel, style_dim, channel_multiplier=2, blur_kernel=[1, 3, 3, 1])
styleunet/networks/discriminator.py:82
Method__init__(self, size, img_channel=6, channel_multiplier=2, blur_kernel=[1, 3, 3, 1])
styleunet/networks/discriminator.py:152
Method__init__(
self, in_channel, out_channel, kernel_size, stride=1, padding=0, bias=True
)
styleunet/networks/modules.py:91
Method__init__(
self, in_dim, out_dim, bias=True, bias_init=0, lr_mul=1, activation=None
)
styleunet/networks/modules.py:129
Method__init__(self, in_channel, out_channel, blur_kernel=[1, 3, 3, 1], downsample=True)
styleunet/networks/modules.py:432
Method__init__(self, in_channel, out_channel, style_dim, blur_kernel=[1, 3, 3, 1], downsample=True)
styleunet/networks/modules.py:446
Method__init__(self, out_channel, in_channel, downsample=True, blur_kernel=[1, 3, 3, 1])
styleunet/networks/modules.py:458
Method__init__(self, out_channel, in_channel, downsample=True, blur_kernel=[1, 3, 3, 1])
styleunet/networks/modules.py:485
Method__init__(self, in_channel, style_dim, upsample=True, blur_kernel=[1, 3, 3, 1])
styleunet/networks/modules.py:549
Method__init__(self, in_channel, upsample=True, blur_kernel=[1, 3, 3, 1])
styleunet/networks/modules.py:575
Method__init__(
self, in_channel, out_channel, kernel_size, stride=1, padding=0, bias=True
)
styleavatar/networks/modules_for_onnx.py:117
Method__init__(
self, in_dim, out_dim, bias=True, bias_init=0, lr_mul=1, activation=None
)
styleavatar/networks/modules_for_onnx.py:153
Method__init__(
self,
in_channel,
out_channel,
kernel_size,
style_dim,
demod
styleavatar/networks/modules_for_onnx.py:190
Method__init__(
self,
in_channel,
out_channel,
kernel_size,
downsample=False,
styleavatar/networks/modules_for_onnx.py:318
Method__init__(self, in_channel, out_channel, blur_kernel=[1, 3, 3, 1], downsample=True)
styleavatar/networks/modules_for_onnx.py:416
Method__init__(self, out_channel, in_channel, downsample=True, blur_kernel=[1, 3, 3, 1])
styleavatar/networks/modules_for_onnx.py:430
Method__init__(
self,
in_channel,
out_channel,
kernel_size,
style_dim,
upsam
styleavatar/networks/modules_for_onnx.py:470
Method__init__(self, in_channel, style_dim, upsample=True, blur_kernel=[1, 3, 3, 1])
styleavatar/networks/modules_for_onnx.py:511
Method__init__(self, in_channel, upsample=True, blur_kernel=[1, 3, 3, 1])
styleavatar/networks/modules_for_onnx.py:536
Method__init__(self, input_size, output_size, style_dim, mlp_num, channel_multiplier=2, blur_kernel=[1, 3, 3, 1], for_cpp=Fa
styleavatar/networks/generator_for_onnx.py:11
Method__init__(
self, in_channel, out_channel, kernel_size, stride=1, padding=0, bias=True
)
styleavatar/networks/modules_for_discriminator.py:91