| __init__(self, in_channels, out_channels, kernel_size, stride=1, padding=0, dilation=1, groups=1, bias=True, padding_mode='zeros') (defined in torch.nn.modules.conv.Conv3d) | torch.nn.modules.conv.Conv3d | |
| __init__(self, in_channels, out_channels, kernel_size, stride, padding, dilation, transposed, output_padding, groups, bias, padding_mode) (defined in torch.nn.modules.conv._ConvNd) | torch.nn.modules.conv._ConvNd | |
| bias (defined in torch.nn.modules.conv._ConvNd) | torch.nn.modules.conv._ConvNd | |
| dilation (defined in torch.nn.modules.conv._ConvNd) | torch.nn.modules.conv._ConvNd | |
| extra_repr(self) (defined in torch.nn.modules.conv._ConvNd) | torch.nn.modules.conv._ConvNd | |
| forward(self, input) (defined in torch.nn.modules.conv.Conv3d) | torch.nn.modules.conv.Conv3d | |
| groups (defined in torch.nn.modules.conv._ConvNd) | torch.nn.modules.conv._ConvNd | |
| in_channels (defined in torch.nn.modules.conv._ConvNd) | torch.nn.modules.conv._ConvNd | |
| kernel_size (defined in torch.nn.modules.conv._ConvNd) | torch.nn.modules.conv._ConvNd | |
| out_channels (defined in torch.nn.modules.conv._ConvNd) | torch.nn.modules.conv._ConvNd | |
| output_padding (defined in torch.nn.modules.conv._ConvNd) | torch.nn.modules.conv._ConvNd | |
| padding (defined in torch.nn.modules.conv._ConvNd) | torch.nn.modules.conv._ConvNd | |
| padding_mode (defined in torch.nn.modules.conv.Conv3d) | torch.nn.modules.conv.Conv3d | |
| reset_parameters(self) (defined in torch.nn.modules.conv._ConvNd) | torch.nn.modules.conv._ConvNd | |
| stride (defined in torch.nn.modules.conv._ConvNd) | torch.nn.modules.conv._ConvNd | |
| transposed (defined in torch.nn.modules.conv._ConvNd) | torch.nn.modules.conv._ConvNd | |
| weight (defined in torch.nn.modules.conv._ConvNd) | torch.nn.modules.conv._ConvNd | |