MaskedConv2d¶
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class
torchelie.nn.MaskedConv2d(in_chan, out_chan, ks, center, stride=1, bias=(1, 1))¶ A masked 2D convolution for PixelCNN
- Parameters
in_chan (int) – number of input channels
out_chan (int) – number of output channels
ks (int) – kernel size
center (bool) – whereas central pixel is masked or not
stride (int) – stride, defaults to 1
bias (2-tuple of ints) – A spatial bias. Either the spatial dimensions of the input for a different bias at each location, or (1, 1) for the same bias everywhere (default)
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forward(x)¶
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bias: Optional[torch.Tensor]¶
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dilation: Tuple[int, …]¶
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groups: int¶
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kernel_size: Tuple[int, …]¶
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out_channels: int¶
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output_padding: Tuple[int, …]¶
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padding: Tuple[int, …]¶
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padding_mode: str¶
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stride: Tuple[int, …]¶
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transposed: bool¶
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weight: torch.Tensor¶