Module): def __init__(self, in_channels, conv_channels): super().__init__() self.conv1 = nn.Conv3d(in_channels, conv_channels, kernel_size=3, padding=1, bias=True) self.relu1 = nn.ReLU(inplace=True) self.conv2 = nn.Conv3d(conv_channels, conv_channels, kernel_size=3, ...
Module): def __init__(self, in_channels, conv_channels): super().__init__() self.conv1 = nn.Conv3d(in_channels, conv_channels, kernel_size=3, padding=1, bias=True) self.relu1 = nn.ReLU(inplace=True) self.conv2 = nn.Conv3d(conv_channels, conv_channels, kernel_size=3, ...
Module): def __init__(self, in_channels, conv_channels): super().__init__() self.conv1 = nn.Conv3d(in_channels, conv_channels, kernel_size=3, padding=1, bias=True) self.relu1 = nn.ReLU(inplace=True) self.conv2 = nn.Conv3d(conv_channels, conv_channels, kernel_size=3, ...