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

Pto SGD

Instantiates the SGD optimizer.

Parameters
model (PTMODEL): The PyTorch model whose parameters will be optimized.
learning_rate (float): The learning rate for the AdamW optimizer.
momentum (float): Coefficient to apply to the past gradient to adjust the contribution of past gradients
dampening (float): Coefficient to adjust the contribution of current gradient.
weight_decay (float): The weight decay parameter.
nesterov (bool): If True, uses the Nesterov version.

Input

Name	Data type
model	Ptmodel
learning_rate	Float
momentum	Float
dampening	Float
weight_decay	Float
nesterov	Boolean

Output

Data type
Ptoptimizer

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Category: PyTorch wrapper - Optimizer

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