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import torch.nn as nn | |
from torch.nn.utils import remove_weight_norm, weight_norm | |
class Depthwise_Separable_Conv1D(nn.Module): | |
def __init__( | |
self, | |
in_channels, | |
out_channels, | |
kernel_size, | |
stride = 1, | |
padding = 0, | |
dilation = 1, | |
bias = True, | |
padding_mode = 'zeros', # TODO: refine this type | |
device=None, | |
dtype=None | |
): | |
super().__init__() | |
self.depth_conv = nn.Conv1d(in_channels=in_channels, out_channels=in_channels, kernel_size=kernel_size, groups=in_channels,stride = stride,padding=padding,dilation=dilation,bias=bias,padding_mode=padding_mode,device=device,dtype=dtype) | |
self.point_conv = nn.Conv1d(in_channels=in_channels, out_channels=out_channels, kernel_size=1, bias=bias, device=device,dtype=dtype) | |
def forward(self, input): | |
return self.point_conv(self.depth_conv(input)) | |
def weight_norm(self): | |
self.depth_conv = weight_norm(self.depth_conv, name = 'weight') | |
self.point_conv = weight_norm(self.point_conv, name = 'weight') | |
def remove_weight_norm(self): | |
self.depth_conv = remove_weight_norm(self.depth_conv, name = 'weight') | |
self.point_conv = remove_weight_norm(self.point_conv, name = 'weight') | |
class Depthwise_Separable_TransposeConv1D(nn.Module): | |
def __init__( | |
self, | |
in_channels, | |
out_channels, | |
kernel_size, | |
stride = 1, | |
padding = 0, | |
output_padding = 0, | |
bias = True, | |
dilation = 1, | |
padding_mode = 'zeros', # TODO: refine this type | |
device=None, | |
dtype=None | |
): | |
super().__init__() | |
self.depth_conv = nn.ConvTranspose1d(in_channels=in_channels, out_channels=in_channels, kernel_size=kernel_size, groups=in_channels,stride = stride,output_padding=output_padding,padding=padding,dilation=dilation,bias=bias,padding_mode=padding_mode,device=device,dtype=dtype) | |
self.point_conv = nn.Conv1d(in_channels=in_channels, out_channels=out_channels, kernel_size=1, bias=bias, device=device,dtype=dtype) | |
def forward(self, input): | |
return self.point_conv(self.depth_conv(input)) | |
def weight_norm(self): | |
self.depth_conv = weight_norm(self.depth_conv, name = 'weight') | |
self.point_conv = weight_norm(self.point_conv, name = 'weight') | |
def remove_weight_norm(self): | |
remove_weight_norm(self.depth_conv, name = 'weight') | |
remove_weight_norm(self.point_conv, name = 'weight') | |
def weight_norm_modules(module, name = 'weight', dim = 0): | |
if isinstance(module,Depthwise_Separable_Conv1D) or isinstance(module,Depthwise_Separable_TransposeConv1D): | |
module.weight_norm() | |
return module | |
else: | |
return weight_norm(module,name,dim) | |
def remove_weight_norm_modules(module, name = 'weight'): | |
if isinstance(module,Depthwise_Separable_Conv1D) or isinstance(module,Depthwise_Separable_TransposeConv1D): | |
module.remove_weight_norm() | |
else: | |
remove_weight_norm(module,name) |