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[Scala][macOS] Trying to build from source #12568

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mariussoutier opened this issue Sep 14, 2018 · 23 comments
Closed

[Scala][macOS] Trying to build from source #12568

mariussoutier opened this issue Sep 14, 2018 · 23 comments

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@mariussoutier
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I'm trying to build the Scala package from source on macOS with MXNet 1.3.0.

Here is what I found:

  • Building with CUDA doesn't work, the build just aborts with nvcc fatal : The version ('9.1') of the host compiler ('Apple clang') is not supported
  • Building with Intel MKL works, however at runtime training a module fails with:
    The size of NDArray doesn't match the requested MKLDNN memory desc.
  • Building with MKL but without MKLDNN throws compile errors.
  • Apple Accelerate seems faster than OpenBLAS, the documentation says otherwise
@kalyc
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kalyc commented Sep 14, 2018

Thanks for submitting the issue @mariussoutier
@mxnet-label-bot[Scala, OSX, Build]

@mariussoutier
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mariussoutier commented Sep 15, 2018

As for CUDA, installing older Developer Command Line Tools with clang 9.0, the compilation advances much further, but then the linker fails with

ld: warning: directory not found for option '-L/usr/local/cuda/lib64'
ld: warning: directory not found for option '-L/usr/local/cuda/lib64/stubs'
Undefined symbols for architecture x86_64:
  "mxnet::op::CuDNNAlgoReg<mxnet::op::ConvolutionParam>::Get()", referenced from:
      mxnet::op::CuDNNConvolutionOp<float>::SelectAlgo(mxnet::RunContext const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, cudnnDataType_t, cudnnDataType_t) in convolution_gpu.o
      mxnet::op::CuDNNConvolutionOp<double>::SelectAlgo(mxnet::RunContext const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, cudnnDataType_t, cudnnDataType_t) in convolution_gpu.o
      mxnet::op::CuDNNConvolutionOp<mshadow::half::half_t>::SelectAlgo(mxnet::RunContext const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, cudnnDataType_t, cudnnDataType_t) in convolution_gpu.o
  "mxnet::op::CuDNNAlgoReg<mxnet::op::DeconvolutionParam>::Get()", referenced from:
      mxnet::op::CuDNNDeconvolutionOp<float>::SelectAlgo(mxnet::RunContext const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, cudnnDataType_t, cudnnDataType_t) in deconvolution_gpu.o
      mxnet::op::CuDNNDeconvolutionOp<double>::SelectAlgo(mxnet::RunContext const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, cudnnDataType_t, cudnnDataType_t) in deconvolution_gpu.o
      mxnet::op::CuDNNDeconvolutionOp<mshadow::half::half_t>::SelectAlgo(mxnet::RunContext const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, cudnnDataType_t, cudnnDataType_t) in deconvolution_gpu.o
ld: symbol(s) not found for architecture x86_64

-L/usr/local/cuda/lib64 is the CUDA location on Linux, not on the Mac. This must be hard-coded somewhere. Adding a soft-link doesn't help with the above error message though.

@marcoabreu
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So far, we have not been testing or designing our build systems to work with GPU on a Mac. So yes, it might be possible that the path is hardcoded for Unix (not apple) based systems.

Are you using cmake or make to compile?

@mariussoutier
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I'm using make. I added a softlink to make the warning go away, but the compile error persists.

@mariussoutier
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mariussoutier commented Sep 18, 2018

Actually, I'm using scala-package/dev/compile-mxnet-backend.sh osx-x86_64-gpu ./ (I added osx-x86_64-gpu with the CUDA params), which uses make.

When I switch the script to cmake, I get the following error:


    Unix Makefiles

  does not support toolset specification, but toolset

    cuda=9.2,host=x64

  was specified.

@KellenSunderland
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Yes unfortunately soft-links won't fix the problem. NVCC doesn't support modern Clang. The best path forward to get it to compile would be to install GCC from brew, and then use it to compile your code.

@mariussoutier
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Can you give me a pointer to how I can switch the build from clang to gcc?

@KellenSunderland
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KellenSunderland commented Sep 18, 2018

Absolutely! So first install brew and do a "brew install gcc". Then if you're building with make you'd just have to do something like

export CXX=/path/to/g++
export CC=/path/to/gcc

With cmake you could add this before generating your build files: "-DCMAKE_CXX_COMPILER=/path/to/g++ -DCMAKE_C_COMPILER=/path/to/gcc"

@mariussoutier
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Thanks, that worked perfectly! Now during make scalapkg I'm encountering this error:

java.lang.UnsatisfiedLinkError: /Users/mariussoutier/Workspace/Cloned/mxnet/scala-package/init-native/osx-x86_64/target/libmxnet-init-scala-osx-x86_64.jnilib: dlopen(/Users/mariussoutier/Workspace/Cloned/mxnet/scala-package/init-native/osx-x86_64/target/libmxnet-init-scala-osx-x86_64.jnilib, 1): Library not loaded: @rpath/libcudart.9.2.dylib
  Referenced from: /Users/mariussoutier/Workspace/Cloned/mxnet/scala-package/init-native/osx-x86_64/target/libmxnet-init-scala-osx-x86_64.jnilib
  Reason: image not found

What this's @rpath thing? libcudart.9.2.dylib is present in /usr/local/cuda, so it should work.

@KellenSunderland
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KellenSunderland commented Sep 19, 2018

Looks like it's almost working. Just to double check, would you be able to run a quick

echo $LD_LIBRARY_PATH

and paste it here?

Also a

otool -L libmxnet.so

Those two commands should let us know what version of libcudart it's linked against and if it's on the library path.

@lanking520
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@mariussoutier Thanks for your effort by making MXNet Scala GPU working on Mac OSX. The issue you have should be the linking issue. You should include them before you build the MXNet backend. Please check libmxnet.so file to see if there are linking issues.

@mariussoutier
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echo $LD_LIBRARY_PATH
:/usr/local/cuda/lib:/Users/mariussoutier/Workspace/Cloned/NNPACK/lib

and

 otool -L lib/libmxnet.so
lib/libmxnet.so:
	lib/libmxnet.so (compatibility version 0.0.0, current version 0.0.0)
	/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 1252.50.4)
	@rpath/libcudart.9.2.dylib (compatibility version 0.0.0, current version 9.2.148)
	@rpath/libcublas.9.2.dylib (compatibility version 0.0.0, current version 9.2.174)
	@rpath/libcurand.9.2.dylib (compatibility version 0.0.0, current version 9.2.148)
	@rpath/libcusolver.9.2.dylib (compatibility version 0.0.0, current version 9.2.148)
	/System/Library/Frameworks/Accelerate.framework/Versions/A/Accelerate (compatibility version 1.0.0, current version 4.0.0)
	/usr/local/opt/opencv/lib/libopencv_stitching.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_superres.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_videostab.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_aruco.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_bgsegm.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_bioinspired.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_ccalib.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_dnn_objdetect.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_dpm.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_face.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_photo.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_fuzzy.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_hfs.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_img_hash.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_line_descriptor.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_optflow.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_reg.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_rgbd.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_saliency.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_stereo.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_structured_light.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_phase_unwrapping.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_surface_matching.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_tracking.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_datasets.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_dnn.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_plot.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_xfeatures2d.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_shape.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_video.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_ml.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_ximgproc.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_calib3d.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_features2d.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_highgui.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_videoio.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_flann.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_xobjdetect.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_imgcodecs.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_objdetect.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_xphoto.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_imgproc.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_core.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	@rpath/libcudnn.7.dylib (compatibility version 0.0.0, current version 7.2.1)
	@rpath/libcufft.9.2.dylib (compatibility version 0.0.0, current version 9.2.148)
	/usr/local/cuda/lib/libcuda.dylib (compatibility version 1.1.0, current version 9.2.148)
	@rpath/libnvrtc.9.2.dylib (compatibility version 0.0.0, current version 9.2.148)
	/usr/lib/libc++.1.dylib (compatibility version 1.0.0, current version 400.9.0)

@lanking520
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How about the

otool -L libmxnet-init-scala-osx-x86_64.jnilib

@mariussoutier
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	/Users/mariussoutier/Workspace/Cloned/mxnet/scala-package/init-native/osx-x86_64/target/libmxnet-init-scala-osx-x86_64.jnilib (compatibility version 0.0.0, current version 0.0.0)
	/System/Library/Frameworks/JavaVM.framework/Versions/A/JavaVM (compatibility version 1.0.0, current version 1.0.0)
	/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 1252.50.4)
	@rpath/libcudart.9.2.dylib (compatibility version 0.0.0, current version 9.2.148)
	@rpath/libcublas.9.2.dylib (compatibility version 0.0.0, current version 9.2.174)
	@rpath/libcurand.9.2.dylib (compatibility version 0.0.0, current version 9.2.148)
	@rpath/libcusolver.9.2.dylib (compatibility version 0.0.0, current version 9.2.148)
	/System/Library/Frameworks/Accelerate.framework/Versions/A/Accelerate (compatibility version 1.0.0, current version 4.0.0)
	/usr/local/opt/opencv/lib/libopencv_stitching.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_superres.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_videostab.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_aruco.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_bgsegm.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_bioinspired.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_ccalib.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_dnn_objdetect.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_dpm.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_face.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_photo.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_fuzzy.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_hfs.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_img_hash.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_line_descriptor.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_optflow.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_reg.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_rgbd.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_saliency.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_stereo.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_structured_light.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_phase_unwrapping.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_surface_matching.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_tracking.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_datasets.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_dnn.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_plot.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_xfeatures2d.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_shape.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_video.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_ml.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_ximgproc.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_calib3d.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_features2d.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_highgui.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_videoio.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_flann.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_xobjdetect.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_imgcodecs.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_objdetect.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_xphoto.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_imgproc.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	/usr/local/opt/opencv/lib/libopencv_core.3.4.dylib (compatibility version 3.4.0, current version 3.4.2)
	@rpath/libcudnn.7.dylib (compatibility version 0.0.0, current version 7.2.1)
	@rpath/libcufft.9.2.dylib (compatibility version 0.0.0, current version 9.2.148)
	/usr/local/cuda/lib/libcuda.dylib (compatibility version 1.1.0, current version 9.2.148)
	@rpath/libnvrtc.9.2.dylib (compatibility version 0.0.0, current version 9.2.148)
	/usr/lib/libc++.1.dylib (compatibility version 1.0.0, current version 400.9.0)

@lanking520
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lanking520 commented Sep 20, 2018

I would like to refer to this issue. TF seemed to have something similar. It seemed to fix by this comment Hope this helps!

or something like this

@mariussoutier
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mariussoutier commented Sep 21, 2018

I've tried these suggestions from the links:

ln -sf /usr/local/cuda/lib/libcuda.dylib /usr/local/cuda/lib/libcuda.1.dylib

install_name_tool -add_rpath /usr/local/cuda/lib /Users/mariussoutier/Workspace/Cloned/mxnet/scala-package/init-native/osx-x86_64/target/libmxnet-init-scala-osx-x86_64.jnilib
install_name_tool -add_rpath /usr/local/cuda/lib lib/libmxnet.so

export DYLD_LIBRARY_PATH=$CUDA_HOME:/$CUDA_HOME/extras/CUPTI/lib:
export LD_LIBRARY_PATH=$DYLD_LIBRARY_PATH:$LD_LIBRARY_PATH
export PATH=$DYLD_LIBRARY_PATH:$PATH

but to no avail.

Maybe install_name_tool -add_rpath /usr/local/cuda/lib /Users/mariussoutier/Workspace/Cloned/mxnet/scala-package/init-native/osx-x86_64/target/libmxnet-init-scala-osx-x86_64.jnilib would have to be applied during the build.

@lanking520
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lanking520 commented Sep 21, 2018

@mariussoutier So if you add this, will the build package pass?

I would also like to encourage you to join our devlist. We also hold a small MXNet-Scala slack channel there. You will get fast response with the people working on Scala package.

@mariussoutier
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@lanking520 Not sure how I can add this in Maven, I mostly use sbt for Scala builds. Will try to investigate. How can I join the Slack channel?

@gigasquid
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@mariussoutier - To join the slack channel, post to the dev list a message that you would be like to be added to the slack channel and someone will invite you. There is also a @mxnet-scala slack room that we can use for faster chatting

@piyushghai
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@mariussoutier Is your issue resolved now ?

@mariussoutier
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mariussoutier commented Oct 9, 2018

@piyushghai no it isn't. I also didn't have the time to further investigate and am not sure if it's worth the effort.

@zachgk
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zachgk commented Jan 12, 2019

@mariussoutier Since the last time you looked at this, we have greatly improved the scala build process (#13493 and #13626). It now just dynamically links against the libmxnet.so. All you should need to do is build the engine for osx gpu and then the maven build shouldn't have a problem with it.

@lanking520
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@mariussoutier Close this issue for now since this is fixed. Please feel free to reopen this if you are still facing this problem

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