mindflow.cell

API Name	Description	Supported Platforms
mindflow.cell.FCSequential	A sequential container of the dense layers, dense layers are added to the container sequentially.	Ascend GPU
mindflow.cell.FNO1D	The 1-dimensional Fourier Neural Operator (FNO1D) contains a lifting layer, multiple Fourier layers and a decoder layer.	Ascend GPU
mindflow.cell.FNO2D	The 2-dimensional Fourier Neural Operator (FNO2D) contains a lifting layer, multiple Fourier layers and a decoder layer.	Ascend GPU
mindflow.cell.InputScale	Scale the input value to specified region based on \((x_i - input_center)*input_scale\)	Ascend GPU
mindflow.cell.LinearBlock	The LinearBlock.	Ascend GPU
mindflow.cell.MultiScaleFCSequential	The multi-scale fully conneted network.	Ascend GPU
mindflow.cell.PDENet	The PDE-Net model.	Ascend GPU
mindflow.cell.ResBlock	The ResBlock of dense layer.	Ascend GPU
mindflow.cell.ViT	This module based on ViT backbone which including encoder, decoding_embedding, decoder and dense layer.	Ascend GPU
mindflow.cell.get_activation	Gets the activation function.	Ascend GPU