ConvTranspose1d
class torch.nn.ConvTranspose1d(in_channels, out_channels, kernel_size, stride=1, padding=0, output_padding=0, groups=1, bias=True, dilation=1, padding_mode='zeros', device=None, dtype=None)
Applies a 1D transposed convolution operator over an input image
   composed of several input planes.
This module can be seen as the gradient of Conv1d with respect to
   its input. It is also known as a fractionally-strided convolution
   or a deconvolution (although it is not an actual deconvolution
   operation as it does not compute a true inverse of convolution).
   For more information, see the visualizations here and the
   Deconvolutional Networks paper.
This module supports TensorFloat32.
On certain ROCm devices, when using float16 inputs this module will
   use different precision for backward.


"stride" controls the stride for the cross-correlation.


"padding" controls the amount of implicit zero padding on both

