ComfyUI Node: NNT Define Pooling Layer
Category
NNT Neural Network Toolkit/Layers
Inputs
pooling_type
- MaxPool1d
- MaxPool2d
- MaxPool3d
- AvgPool1d
- AvgPool2d
- AvgPool3d
- AdaptiveMaxPool1d
- AdaptiveMaxPool2d
- AdaptiveMaxPool3d
- AdaptiveAvgPool1d
- AdaptiveAvgPool2d
- AdaptiveAvgPool3d
- MaxUnpool1d
- MaxUnpool2d
- MaxUnpool3d
- FractionalMaxPool2d
- LPPool1d
- LPPool2d
kernel_size STRING
stride STRING
padding STRING
dilation STRING
ceil_mode
- True
- False
return_indices
- True
- False
count_include_pad
- True
- False
output_size STRING
fractional_factor FLOAT
norm_type FLOAT
flatten_output
- True
- False
num_copies INT
LAYER_STACK LIST
Outputs
LIST
Extension: ComfyUI Neural Network Toolkit NNT
Neural Network Toolkit (NNT) for ComfyUI is an extensive set of custom ComfyUI nodes for designing, training, and fine-tuning neural networks. This toolkit allows defining models, layers, training workflows, transformers, and tensor operations in a visual manner using nodes.
Authored by inventorado
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