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Gradient Boosting powered by GPU(NVIDIA CUDA)

License: Other

Python 34.13% C++ 12.52% C 0.46% Cuda 51.83% CMake 0.81% Dockerfile 0.08% Makefile 0.16%

arboretum gpu machine-learning cuda gradient-boosting-machine gradient-boosting python

arboretum's Issues

how do I know the computational capabilities of my device?

A problem with json.hpp file during compilation

I have a problem to compile garden.o

The command is:

"/usr/bin/nvcc" -gencode=arch=compute_37,code=\"sm_37,compute_37\" -c -DSM370 -Xptxas -v -Xcudafe -# -Xcompiler -ffloat-store -O3 -I_cub/ -I_json/src/ -std=c++11 -Xcompiler -fPIC -Xcompiler -O3 -Xcompiler -fopenmp -Xcompiler -Wall -Xcompiler -funroll-loops -Xcompiler -march=native -ccbin=g++ -D_MWAITXINTRIN_H_INCLUDED -D_FORCE_INLINES -D__STRICT_ANSI__

However, I got the following error:

_json/src/json.hpp(11227): error: expression must have a constant value
          detected during:
            instantiation of "__nv_bool nlohmann::basic_json<ObjectType, ArrayType, StringType, BooleanType, NumberIntegerType, NumberUnsignedType, NumberFloatType, AllocatorType, JSONSerializer>::lexer::strtonum::to(T &) const [with ObjectType=std::map, ArrayType=std::vector, StringType=std::__cxx11::string, BooleanType=__nv_bool, NumberIntegerType=int64_t, NumberUnsignedType=uint64_t, NumberFloatType=double, AllocatorType=std::allocator, JSONSerializer=nlohmann::adl_serializer, T=uint64_t, <unnamed>=void]" 
(11275): here
            instantiation of "__nv_bool nlohmann::basic_json<ObjectType, ArrayType, StringType, BooleanType, NumberIntegerType, NumberUnsignedType, NumberFloatType, AllocatorType, JSONSerializer>::lexer::get_number(nlohmann::basic_json<ObjectType, ArrayType, StringType, BooleanType, NumberIntegerType, NumberUnsignedType, NumberFloatType, AllocatorType, JSONSerializer> &, nlohmann::basic_json<ObjectType, ArrayType, StringType, BooleanType, NumberIntegerType, NumberUnsignedType, NumberFloatType, AllocatorType, JSONSerializer>::lexer::token_type) const [with ObjectType=std::map, ArrayType=std::vector, StringType=std::__cxx11::string, BooleanType=__nv_bool, NumberIntegerType=int64_t, NumberUnsignedType=uint64_t, NumberFloatType=double, AllocatorType=std::allocator, JSONSerializer=nlohmann::adl_serializer]" 
(11572): here
            instantiation of "nlohmann::basic_json<ObjectType, ArrayType, StringType, BooleanType, NumberIntegerType, NumberUnsignedType, NumberFloatType, AllocatorType, JSONSerializer> nlohmann::basic_json<ObjectType, ArrayType, StringType, BooleanType, NumberIntegerType, NumberUnsignedType, NumberFloatType, AllocatorType, JSONSerializer>::parser::parse_internal(__nv_bool) [with ObjectType=std::map, ArrayType=std::vector, StringType=std::__cxx11::string, BooleanType=__nv_bool, NumberIntegerType=int64_t, NumberUnsignedType=uint64_t, NumberFloatType=double, AllocatorType=std::allocator, JSONSerializer=nlohmann::adl_serializer]" 
(11384): here
            instantiation of "nlohmann::basic_json<ObjectType, ArrayType, StringType, BooleanType, NumberIntegerType, NumberUnsignedType, NumberFloatType, AllocatorType, JSONSerializer> nlohmann::basic_json<ObjectType, ArrayType, StringType, BooleanType, NumberIntegerType, NumberUnsignedType, NumberFloatType, AllocatorType, JSONSerializer>::parser::parse() [with ObjectType=std::map, ArrayType=std::vector, StringType=std::__cxx11::string, BooleanType=__nv_bool, NumberIntegerType=int64_t, NumberUnsignedType=uint64_t, NumberFloatType=double, AllocatorType=std::allocator, JSONSerializer=nlohmann::adl_serializer]" 
(6432): here
            instantiation of "nlohmann::basic_json<ObjectType, ArrayType, StringType, BooleanType, NumberIntegerType, NumberUnsignedType, NumberFloatType, AllocatorType, JSONSerializer> nlohmann::basic_json<ObjectType, ArrayType, StringType, BooleanType, NumberIntegerType, NumberUnsignedType, NumberFloatType, AllocatorType, JSONSerializer>::parse(IteratorType, IteratorType, nlohmann::basic_json<ObjectType, ArrayType, StringType, BooleanType, NumberIntegerType, NumberUnsignedType, NumberFloatType, AllocatorType, JSONSerializer>::parser_callback_t) [with ObjectType=std::map, ArrayType=std::vector, StringType=std::__cxx11::string, BooleanType=__nv_bool, NumberIntegerType=int64_t, NumberUnsignedType=uint64_t, NumberFloatType=double, AllocatorType=std::allocator, JSONSerializer=nlohmann::adl_serializer, IteratorType=const char *, <unnamed>=0]"

Cannot Find arboretum_wrapper.so

I ran the README.md as directed everything was set up smoothly but when I tried to run the code it said it could not find the arboretum_wrapper.so in the python-wrapper directory. How can I remedy this? I ran this on Ubuntu.

using in windows

Hi,

Is it possible to use your library in Windows?
I'm not able to find any info about that.
I believe that using mingw, I would be able to compile the project? Or is there anywhere in the web that I can find a compiled version?

Thanks,
Joao

Error cloning cub submodule

When I run git submodule update, I get the error:

fatal: reference is not a tree: 89de7ab20167909bc2c4f8acd397671c47cf3c0d
Unable to checkout '89de7ab20167909bc2c4f8acd397671c47cf3c0d' in submodule path '_cub'

This error also showed up when I first cloned the arboretum repo.

I can clone the newest version of cub, but this doesn't have the necessary file cub/block/block_scan.cuh. I also can't checkout the referenced commit, I get the error:

$ git checkout 89de7ab20167909bc2c4f8acd397671c47cf3c0d .
fatal: reference is not a tree: 89de7ab20167909bc2c4f8acd397671c47cf3c0d

error:

error: can't copy '../python-wrapper/arboretum_wrapper.so': doesn't exist or not a regular file

any chance to add a method to save model/tree ?

pickle is not an option since it gives :
ValueError: ctypes objects containing pointers cannot be pickled

Hi

Possible install on windows 10 ?

Not able to execute make from root user

Hello, I am trying to install this from root user. I have added cub and json as submodules but still, I am not able to execute the make, it is showing the following exact error

Ubuntu 16.04 with python3

root@instance-2:/home/janpreetds/arboretum# make
"" -gencode=arch=compute_61,code="sm_61,compute_61" -c -DSM610 -Xptxas -v -Xcudafe -# -Xcompiler -ffloat-store -O3 -I_cub/ -I_json/src/ -std=c++11 -Xcompiler -fPIC -Xcompiler -O3 -Xcompiler -fopenmp -Xcompiler -Wall -Xcompiler -funroll-loops -Xcompiler -march=native -ccbin=g++ -o io.o src/io/io.cu
/bin/sh: 1: : Permission denied
makefile:31: recipe for target 'io.o' failed
make: *** [io.o] Error 127

Please help, thanks :)

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