spandrel.architectures.SeemoRe.SeemoRe

class documentation

class SeemoRe(nn.Module): (source)

Constructor: SeemoRe(scale, in_chans, num_experts, num_layers, ...)

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Method	`__init__`	Undocumented
Method	`forward`	Undocumented
Class Variable	`hyperparameters`	Undocumented
Instance Variable	`body`	Undocumented
Instance Variable	`conv_1`	Undocumented
Instance Variable	`conv_2`	Undocumented
Instance Variable	`img_range`	Undocumented
Instance Variable	`mean`	Undocumented
Instance Variable	`norm`	Undocumented
Instance Variable	`num_in_channels`	Undocumented
Instance Variable	`num_out_channels`	Undocumented
Instance Variable	`scale`	Undocumented
Instance Variable	`upsampler`	Undocumented

def __init__(self, *, scale: int = 4, in_chans: int = 3, num_experts: int = 6, num_layers: int = 6, embedding_dim: int = 64, img_range: float = 1.0, use_shuffle: bool = True, global_kernel_size: int = 11, recursive: int = 2, lr_space: LRSpace = 'linear', topk: int = 1): (source) ¶

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def forward(self, x: torch.Tensor) -> torch.Tensor: (source) ¶

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hyperparameters: dict = (source) ¶

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body = (source) ¶

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conv_1 = (source) ¶

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conv_2 = (source) ¶

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img_range = (source) ¶