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

Ptn Resnet Model

A Resnet model consisting of multiple Resnet layers.

Fields:

• input_dim: A string representing the input dimensions in the format "(C,H,W)".
  Example: "(3,32,32)" for a 3-channel 28x28 image.

• output_dim: An integer specifying the number of output features, which should match the number of target classes in classification. Default: 10, Min: 1, Max: 1e6.

• num_blocks: Number of Resnet blocks for 64 channel blocks. Same number of blocks will be created for 128 channel and 256 channel blocks.

Input

Name	Data type
input_dim	String
output_dim	Int
num_blocks	Int

Output

Data type
Ptmodel

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Category: PyTorch wrapper - Training

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