espnet2.gan_svs.avocodo.avocodo.get_padding
Less than 1 minute
espnet2.gan_svs.avocodo.avocodo.get_padding
espnet2.gan_svs.avocodo.avocodo.get_padding(kernel_size, dilation=1)
Calculate the padding needed for a convolution operation.
This function computes the amount of padding required to maintain the spatial dimensions of the input tensor when applying a convolution with a specified kernel size and dilation.
- Parameters:
- kernel_size (int) – The size of the convolution kernel.
- dilation (int , optional) – The dilation rate for the convolution. Default is 1, which means no dilation.
- Returns: The calculated padding value.
- Return type: int
Examples
>>> get_padding(3)
1
>>> get_padding(5, dilation=2)
4
>>> get_padding(7, dilation=3)
9