HowToSD-ComfyUI-Data-Analysis/docs/reference/ptn_conv_model_def.md

Conv Single Layer

A single convolutional layer followed by an optional ReLU activation and optional downsampling.

Shape is tensor of shape (batch_size, in_channels, height, width).

Args: in_channels (int): Number of input channels. out_channels (int): Number of output channels. kernel_size (int): Size of the convolutional kernel. padding (int): Padding size for convolution. downsample (bool): If True, applies a 2x2 MaxPooling layer. apply_activation (bool, optional): If True, applies ReLU activation. Defaults to True.

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Category: Miscellaneous

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