Method
__init__
(
self,
in_channels: int,
out_channels: int,
kernel_size: int = 3,
stride: int = 1,
padding: int = 1,
compress_time: bool = False,
)
Source from the content-addressed store, hash-verified
| 374 | """ |
| 375 | |
| 376 | def __init__( |
| 377 | self, |
| 378 | in_channels: int, |
| 379 | out_channels: int, |
| 380 | kernel_size: int = 3, |
| 381 | stride: int = 1, |
| 382 | padding: int = 1, |
| 383 | compress_time: bool = False, |
| 384 | ) -> None: |
| 385 | super().__init__() |
| 386 | |
| 387 | self.conv = nn.Conv2d(in_channels, out_channels, kernel_size=kernel_size, stride=stride, padding=padding) |
| 388 | self.compress_time = compress_time |
| 389 | |
| 390 | def forward(self, inputs: torch.Tensor) -> torch.Tensor: |
| 391 | if self.compress_time: |
Callers
nothing calls this directly
Tested by
no test coverage detected