How can you use CPU with the Parallel Computing Toolbox?

1 次查看(过去 30 天)
I need to run a Convolutional Neural Networks code, and this requires the PCT but I don't have a NVIDIA GPU. There used to be a parameter in trainingOptions named 'ExecutionEnvironment' where you could choose 'cpu' instead of 'gpu' but it seems to be obsolete.
Is there any other way??
opts = trainingOptions('sgdm', ...
'Momentum', 0.9, ...
'InitialLearnRate', 0.001, ...
'LearnRateSchedule', 'piecewise', ...
'LearnRateDropFactor', 0.1, ...
'LearnRateDropPeriod', 8, ...
'L2Regularization', 0.004, ...
'MaxEpochs', 40, ...
'MiniBatchSize', 128, ...
'Verbose', true);
cifar10Net = trainNetwork(X_train, Labels_train, layers, opts);

采纳的回答

mizuki
mizuki 2017-5-25
CNN on CPU and 'ExecutionEnvironment' option are introduced in R2017a. If you are using R2016b or previous versions, you need GPU to run it or upgrade MATLAB.
  1 个评论
dhikra H
dhikra H 2017-11-22
hello, I use CNN on CPU with matlab 2017b and when i put parallel options in 'ExecutionEnvironment' it display an error indicat that The CUDA runtime failed to initialize correctly. This can occur with some older CUDA drivers. Thanks for help

请先登录,再进行评论。

更多回答(0 个)

类别

Help CenterFile Exchange 中查找有关 Image Data Workflows 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