Method
__init__
(
self,
in_channels,
out_channels,
kernel_size,
stride,
padding=-1,
output_padding=-1,
groups=1,
bias=True,
)
Source from the content-addressed store, hash-verified
| 64 | """1D noncausal transpose convolution.""" |
| 65 | |
| 66 | def __init__( |
| 67 | self, |
| 68 | in_channels, |
| 69 | out_channels, |
| 70 | kernel_size, |
| 71 | stride, |
| 72 | padding=-1, |
| 73 | output_padding=-1, |
| 74 | groups=1, |
| 75 | bias=True, |
| 76 | ): |
| 77 | super().__init__() |
| 78 | if padding < 0: |
| 79 | padding = (stride+1) // 2 |
| 80 | if output_padding < 0: |
| 81 | output_padding = 1 if stride % 2 else 0 |
| 82 | self.deconv = nn.ConvTranspose1d( |
| 83 | in_channels=in_channels, |
| 84 | out_channels=out_channels, |
| 85 | kernel_size=kernel_size, |
| 86 | stride=stride, |
| 87 | padding=padding, |
| 88 | output_padding=output_padding, |
| 89 | groups=groups, |
| 90 | bias=bias, |
| 91 | ) |
| 92 | |
| 93 | def forward(self, x): |
| 94 | """ |
Callers
nothing calls this directly
Tested by
no test coverage detected