Question document fragment

When a question document fragment contains a formula, it is displayed as a space.

Submission type

issue

It's a little complicated...

I'd like to ask someone.

Please select the submission type

Problem type

Specifications and Common Mistakes

- Specifications and Common Mistakes:

- Misspellings or punctuation mistakes,incorrect formulas, abnormal display.

- Incorrect links, empty cells, or wrong formats.

- Chinese characters in English context.

- Minor inconsistencies between the UI and descriptions.

- Low writing fluency that does not affect understanding.

- Incorrect version numbers, including software package names and version numbers on the UI.

Usability

- Usability:

- Incorrect or missing key steps.

- Missing main function descriptions, keyword explanation, necessary prerequisites, or precautions.

- Ambiguous descriptions, unclear reference, or contradictory context.

- Unclear logic, such as missing classifications, items, and steps.

Correctness

- Correctness:

- Technical principles, function descriptions, supported platforms, parameter types, or exceptions inconsistent with that of software implementation.

- Incorrect schematic or architecture diagrams.

- Incorrect commands or command parameters.

- Incorrect code.

- Commands inconsistent with the functions.

- Wrong screenshots.

- Sample code running error, or running results inconsistent with the expectation.

Risk Warnings

- Risk Warnings:

- Lack of risk warnings for operations that may damage the system or important data.

Content Compliance

- Content Compliance:

- Contents that may violate applicable laws and regulations or geo-cultural context-sensitive words and expressions.

- Copyright infringement.

Please select the type of question

Problem description

Describe the bug so that we can quickly locate the problem.

Document feedback

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 $(x_{i} - i n p u t_c e n t e r) * i n p u t_s c a l e$	`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`