ComfyUI Node

NNT Define Conv Layer

A ComfyUI node in NNT Neural Network Toolkit/Layers with 23 inputs and 1 output.

By inventorado·Created 2 years ago·Updated 2 years ago· 69
NNT Define Conv Layer
  • LAYER_STACK
  • hyperparameters
  • layer_stack
conv_typeConv2d
out_channels64
kernel_size3
stride1
padding1
padding_modezeros
output_padding0
dilation1
groups1
use_biasTrue
activation_functionReLU
normalizationBatchNorm
norm_eps0.0000
norm_momentum0.100
norm_affineTrue
dropout_rate0.0
weight_initkaiming_normal
weight_init_gain1.41
weight_init_modefan_out
weight_init_nonlinearityrelu
num_copies1
CategoryNNT Neural Network Toolkit/Layers

Inputs (23)

NameTypeDefaultDescription
conv_typeCOMBOConv2d8 options: Conv1d, Conv2d, Conv3d, ConvTranspose1d, ConvTranspose2d, ConvTranspose3d, +2
out_channelsINT641–2048
kernel_sizeINT31–15
strideINT11–8
paddingINT10–10
padding_modeCOMBOzeros4 options: zeros, reflect, replicate, circular
output_paddingINT00–2
dilationINT11–5
groupsINT11–2048
use_biasCOMBOTrue2 options: True, False
activation_functionCOMBOReLU28 options: None, ELU, GELU, GLU, Hardshrink, Hardsigmoid, +22
normalizationCOMBOBatchNorm10 options: None, BatchNorm1d, BatchNorm2d, BatchNorm3d, LayerNorm, InstanceNorm1d, +4
norm_epsFLOAT0.00001e-12–0.001
norm_momentumFLOAT0.1000.001–0.999
norm_affineCOMBOTrue2 options: True, False
dropout_rateFLOAT0.00–0.9
weight_initCOMBOkaiming_normal12 options: default, normal, uniform, xavier_normal, xavier_uniform, kaiming_normal, +6
weight_init_gainFLOAT1.410.01–10
weight_init_modeCOMBOfan_out2 options: fan_in, fan_out
weight_init_nonlinearityCOMBOrelu6 options: relu, leaky_relu, selu, tanh, linear, sigmoid
num_copiesINT11–100
LAYER_STACKoptLIST
hyperparametersoptDICT

Outputs (1)

NameTypeDescription
layer_stackLIST