__init__(self, in_channels, out_channels, kernel_size, stride=1, padding=0, output_padding=0, groups=1, bias=True, dilation=1, padding_mode='zeros') (defined in torch.nn.modules.conv.ConvTranspose1d) | torch.nn.modules.conv.ConvTranspose1d | |
__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, output_size=None) (defined in torch.nn.modules.conv.ConvTranspose1d) | torch.nn.modules.conv.ConvTranspose1d | |
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._ConvNd) | torch.nn.modules.conv._ConvNd | |
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 | |