kailaix

Hi, I guess the reason is that `import numpy` is trying to use DLLs from another numpy installation. Following the instruction [here](https://numpy.org/devdocs/user/troubleshooting-importerror.html#using-python-from-conda-anaconda), I suggest you activate your ADCME conda environment...

No worries about the warning. It will disappear next time when you use ADCME. However, you need to run `ADCME.precompile()` so that you can use custom operators.

@jiaqiwang969 This error is due to a lack of a compatible compiler. Have you followed the instructions [here](https://kailaix.github.io/ADCME.jl/dev/#Installation)? You need to install Microsoft Visual Studio 15 compiler (remember to enable...

When you provide θ, you do need "label" because the deep neural network is uniquely identified by θ. "label" is useful when you build a neural network by specifying weights...

This is mostly due to TensorFlow C++ multithreading. It is not easy to call Julia from a non-event loop thread.

@carterzhou1608 Thanks for your interest. It should work on Julia 1.3 MacOS. Could you post your full error message so we can help you resolve the issue?

You need hdf5 on your Mac. This can be installed via Homebrew: ``` brew update brew install hdf5 ```

This might be the problem with installing the `HDF5.jl` package. You could try rebuilding `ADCME` to trigger rebuilding `HDF5` ```julia using Pkg Pkg.build("ADCME") ``` Let me know if this fix...

That's still the problem with `HDF5.jl`. It created some files at the beginning and those files are causing troubles. You can try (suggested by the error message) ```julia Pkg.build("CMake") ```...

Could you try removing the old package and reinstall? The old files are causing trouble. ```julia Pkg.remove("CMake") Pkg.add("CMake") Pkg.build("CMake") ```