XYZ

I'm looking forward to your code too. Thank you!

代码加入paddle.device.set_device("gpu")试试？ 此外，可以看看 workerlog.*输出都是什么。

你好，请问能否把你训练好的模型，配置文件以及其他修改的代码提供下吗？目前的这些信息不太能定位出问题的位置，谢谢。

I made small changes in the script, which is as follows: mkdir build_dir cd build_dir CUDA_COMPILER=/usr/local/cuda/bin/nvcc CXX_COMPILER=/usr/bin/g++-4.9 SPATIAL_DIMS=3 INPUT_CHANNELS=1 REFERENCE_CHANNELS=3 MAKE_TESTS=False cmake -DCMAKE_BUILD_TYPE=Debug -D CMAKE_CUDA_COMPILER=${CUDA_COMPILER} \ -D CMAKE_CXX_COMPILER=${CXX_COMPILER} \ -D...

I have solved the problem of build error by pulling the latest code. Thank you very much! And when I train my 3D_UNet after adding the CRF_RNN_layer behind my sigmoid...

Yes. I'm using Keras. I saw there is a file named "crf_as_rnn_keras_layer.py" int your project and I used it as a layer in my model. And do you know how...

Thank you very much and looking forward to your reply!

paddle2.2.2版本，PaddleDetection develop分支还是有同样的错误。

I uninstall xformers and then install it solving the problem.