LSTM network implemention on FPGA

Hi! I want to implement an LSTM network on an FPGA for predictive detection of defects. I saw that Deep Learning HDL Toolbox not supported lstmlayer and sequenceInputLayer. So my question is : There is a way to implement an LSTM network on FPGA and/or generate VHDL/Verilog code from it and that from Matlab ?
Thanks in advance!

 采纳的回答

Donald Baltus
Donald Baltus 2021-9-22
Hello Sami,
As you've observed, the Deep Learning HDL Toolbox does not currently support LSTM layers. Adding that support is on our roadmap but it does not exist today.
Furthermore, the Deep Learning HDL Toolbox does not currently support any layers including state. Without that capability, I don't believe it's possible to implement an LSTM network on an FPGA using the Deep Learning HDL Toolbox.
Please feel free to follow up if you have additional questions.
Regards,

5 个评论

Thanks for the reply!
There is some examples to do time series forcasting without LSTM/RNN ? But with CNN for example ?
Hi Sami,
Its difficult to to time series forcasting without state .... but perhaps possible if you load an entire sequence as a single input.
I haven't found any suitable examples but I will keep looking.
Thanks for you're return, I'll probably try another way for that.
Still no update for LSTM or GRU?
LSTM will be supported in 2022B, GRU in 2023A.

请先登录,再进行评论。

更多回答(0 个)

类别

帮助中心File Exchange 中查找有关 Deep Learning HDL Toolbox 的更多信息

Community Treasure Hunt

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

Start Hunting!

Translated by