C++ code generation for sequence to sequence LSTM fails

FWH
2020 8 24
1 个回答
回答已采纳
更新时间：2020 8 27
6 次查看（30 天）

0 个投票

Hi guys,
I have trained a sequence to sequence LSTM network in R2019b. Now i want to generate C++ Code for said network via Matlab Coder.
When i try using codegen, I get the following error message:
"error generating code for network testLSTM_0. Code generation for SequenceInputLayer sequenceinput is not supported for arm-compute target. See documentation for a list of supported layers with each target."
This seems very weird to me since all layers in my network (including the SequenceInputLayer) are listed are listed as supported for arm-compute here.
Has anyone successfully generated C++ Code for a sequence to sequence LSTM and can help me with this? Thanks in advance.

2 个评论
显示 无 隐藏 无

FWH
FWH 2020-8-25
编辑：FWH 2020-8-25
Yes I have, but still the same error. Unlike than that example I am trying to generate CPU Code, not CUDA Code, don't know how big the difference is for Matlab Coder.
Another thing is I am only getting to the above error when using the predict command in the function I am giving to codegen. If i use [mynet, out] = predictAndUpdateState(mynet,in) instead, I get "Undefined function or variable predictAndUpdateState." which is weird since Deep Learning Toolbox is definetly installed and the command works outside of codegen.

请先登录，再进行评论。

请先登录，再回答此问题。

 采纳的回答

0 个投票

Hello,
Code-generation support for LSTM networks using ARM Compute Library was introduced in R2020a. Further, predictAndUpdateState is also supported for ARM Compute Library in R2020a.
Please find the release notes attached:
https://www.mathworks.com/help/coder/release-notes.html
The link referenced in the question links to the R2020a documentation, hence you may have noticed that all the layers are supported.
R2019b included LSTM network code-generation support only for GPU target using cuDNN library and GPU Coder and did not include support for predictAndUpdateState function.
Would it be possible to upgrade MATLAB to R2020a to leverage these new capabilities?
Please note that code-generation for LSTM Networks using ARM Compute Library requires ARM Compute Library Version 19.05.
Hari

更多回答（0 个）

类别

在 帮助中心 和 File Exchange 中查找有关 Get Started with GPU Coder 的更多信息

产品

版本

R2019b

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by