Code generation error (loadDeepL​earningNet​work)

3 views (last 30 days)
I saw the example and followed.
However, I would like to replace my newly created resnet50 neural network, not the pre-trained resnet50 neural network provided by Matlab. I actually made it, and it works well on the Matlb. However, when deploying to Raspberry Pi, loadDeeplelearningnetwork function keeps failing. What's the cause?
Does it matter if my gpu is AMD? Matlab coder is NVIDIA compatible..
this is my function
this is deploy function
errors
  4 Comments
Ram Kokku
Ram Kokku on 11 Jul 2023
@Chanhyeok, The coders will use the second argument as the recommended name for the C++ class generated for the deep learning network. you can give a simple dummy character array, preferable a single word - for example, 'MyDLClass' or 'my_dummy_string'.

Sign in to comment.

Accepted Answer

Sayan Saha
Sayan Saha on 11 Jul 2023
Edited: Sayan Saha on 11 Jul 2023
Hello @Chanhyeok, are you trying to codegen in a folder that has non-ASCII characters in it's path? If so, can you change to a directory that has only ASCII characters in it's full-path and see if that resolves the issue. Note that codegen is not currently supported for non-ASCII characters https://www.mathworks.com/help/coder/ug/code-generation-for-characters.html.
  1 Comment
wtg Wtg
wtg Wtg on 4 Dec 2024
I run gpu checks on r2024a/b over Nvidia RTX4080 Laptop with all combinations of VS2017/2019/2022 + Cuda11.8-12.2/cuDNN8.7-9.2/TensorRT8.5.1.7-8.6.1.6, and always got the deepcodegen & deepcodeexec fails as below :
>>gpuEnvObj = coder.gpuEnvConfig('host');
gpuEnvObj.BasicCodegen = 1;
gpuEnvObj.BasicCodeexec = 1;
gpuEnvObj.DeepLibTarget = 'cudnn';
gpuEnvObj.DeepCodegen = 1;
gpuEnvObj.DeepCodeexec = 1;
results = coder.checkGpuInstall(gpuEnvObj)
Compatible GPU : PASSED
CUDA Environment : PASSED
Runtime : PASSED
cuFFT : PASSED
cuSOLVER : PASSED
cuBLAS : PASSED
cuDNN Environment : PASSED
Host Compiler : PASSED
Basic Code Generation : PASSED
Basic Code Execution : PASSED
Deep Learning (cuDNN) Code Generation: FAILED (GPU code generation failed with an error. View report for further information: View report)
results =
struct with fields:
gpu: 1
cuda: 1
cudnn: 1
tensorrt: 0
hostcompiler: 1
basiccodegen: 1
basiccodeexec: 1
deepcodegen: 0
tensorrtdatatype: 0
deepcodeexec: 0
The Error Report always shows as below :
Could you help ?

Sign in to comment.

More Answers (0)

Categories

Find more on Deep Learning with GPU Coder in Help Center and File Exchange

Community Treasure Hunt

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

Start Hunting!