HowToSD-ComfyUI-Pt-Wrapper/docs/reference/ptn_conv2d.md

Ptn Conv 2d

A convolutional model consisting of a single conv2d layer.

    Args:
        in_channels (int): The number of input channels  
        out_channels (int): The number of output channels  
        kernel_size (str): The size of the kernel  
        stride (str): The stride to be used for sliding the kernel  
        padding (str): The amount of padding added to the input  
        dilation (str): The distance between adjacent elements in the kernel to adjust receptive fields.  
        groups (str): The number of groups used to divide input and output channels for separate processing.  
        bias (bool): If `True`, adds a learnable bias to the output  
    padding_mode (str): Specifies how padding values are set in the input before convolution.  

t. bias (bool): Use bias or not.

Input

Name	Data type
in_channels	Int
out_channels	Int
kernel_size	String
stride	String
padding	String
dilation	String
groups	Int
bias	Boolean
padding_mode

Output

Data type
Ptmodel

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Category: PyTorch wrapper - Model

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