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 1D Fourier Neural Operator, which usually contains a Lifting Layer, a Fourier Block Layer and a Projection Layer.	Ascend GPU
mindflow.cell.FNO2D	The 2D Fourier Neural Operator, which usually contains a Lifting Layer, a Fourier Block Layer and a Projection Layer.	Ascend GPU
mindflow.cell.FNO3D	The 3D Fourier Neural Operator, which usually contains a Lifting Layer, a Fourier Block Layer and a Projection 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.PeRCNN	Recurrent convolutional neural network Cell.	Ascend GPU
mindflow.cell.ResBlock	The ResBlock of dense layer.	Ascend GPU
mindflow.cell.UNet2D	The 2-dimensional U-Net model.	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