Comments (3)
Попробовал просто скопировать содержимое папки scr в папку source проекта ue4, получил такой список ошибок при сборке
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Проблему частично решил, избавившись от темплейтов в классе Tensor и сделав его инициализацию строго через std::vector<size_t>. Пока с вашей моделью в примере работает под UE4 и отлично выводится результат в виджет. Но я планирую работать с LSTM сетями, поэтому подводные камни еще могут проявиться.
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Вам надо было установить clang компилятор. g++ не работает)
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Related Issues (20)
- How to convert image to keras2cpp::Tensor? (Not really an Issue but a question)
- This project only support C
- This project only support std = c++17. Is there any other version? HOT 6
- Multi-class classification
- Assert error conv2d in dims != weight dims HOT 4
- Using it with qmake HOT 1
- Не понимаю где косячу) or assert on BatchNormalization HOT 1
- VC++ dll HOT 1
- Convolutional networks HOT 1
- Error C2440 'initializing': cannot convert from 'initializer list' to 'keras2cpp::Tensor' HOT 2
- Inference result is different between keras model and c++
- Inference on c++ model fails: file cannot be read
- Cannot find test directory and files in that directory HOT 1
- embedding layer with mask_zero = True produces incorrect predictions
- VC++ Conv2D runtime error
- /
- Initialize a 4-dim Tensor for inference HOT 4
- Using from cpp project in VS2022 (Windows)
- tuple.index(x): x not in tuple HOT 8
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