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Running
on
Zero
# Copyright (c) 2023 Amphion. | |
# | |
# This source code is licensed under the MIT license found in the | |
# LICENSE file in the root directory of this source tree. | |
#################### GAN utils #################### | |
import typing as tp | |
def get_padding(kernel_size, dilation=1): | |
return int((kernel_size * dilation - dilation) / 2) | |
def get_2d_padding( | |
kernel_size: tp.Tuple[int, int], dilation: tp.Tuple[int, int] = (1, 1) | |
): | |
return ( | |
((kernel_size[0] - 1) * dilation[0]) // 2, | |
((kernel_size[1] - 1) * dilation[1]) // 2, | |
) | |
def init_weights(m, mean=0.0, std=0.01): | |
classname = m.__class__.__name__ | |
if classname.find("Conv") != -1: | |
m.weight.data.normal_(mean, std) | |