Installing apex display this error : warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++

So I am trying to install apex since two weeks in order to train a model and In my last effort; I run onto this error when installing :

Install apex with :
Pytorch version : 1.4.0+cu100
Cuda is 10.0 on the virtual env

command line used :

python setup.py install --cuda_ext --cpp_ext

Stacktrace:

copying apex/pyprof/prof/reduction.py -> build/lib.linux-x86_64-3.6/apex/pyprof/prof
copying apex/pyprof/prof/softmax.py -> build/lib.linux-x86_64-3.6/apex/pyprof/prof
copying apex/pyprof/prof/usage.py -> build/lib.linux-x86_64-3.6/apex/pyprof/prof
copying apex/pyprof/prof/utility.py -> build/lib.linux-x86_64-3.6/apex/pyprof/prof
running build_ext
building 'apex_C' extension
creating build/temp.linux-x86_64-3.6
creating build/temp.linux-x86_64-3.6/csrc
gcc -pthread -B /home/getalp/kelodjoe/anaconda3/envs/env/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/home/getalp/kelodjoe/anaconda3/envs/env/lib/python3.6/site-packages/torch/include -I/home/getalp/kelodjoe/anaconda3/envs/env/lib/python3.6/site-packages/torch/include/torch/csrc/api/include -I/home/getalp/kelodjoe/anaconda3/envs/env/lib/python3.6/site-packages/torch/include/TH -I/home/getalp/kelodjoe/anaconda3/envs/env/lib/python3.6/site-packages/torch/include/THC -I/home/getalp/kelodjoe/anaconda3/envs/env/include/python3.6m -c csrc/flatten_unflatten.cpp -o build/temp.linux-x86_64-3.6/csrc/flatten_unflatten.o -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=apex_C -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++11
cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++
g++ -pthread -shared -B /home/getalp/kelodjoe/anaconda3/envs/env/compiler_compat -L/home/getalp/kelodjoe/anaconda3/envs/env/lib -Wl,-rpath=/home/getalp/kelodjoe/anaconda3/envs/env/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.6/csrc/flatten_unflatten.o -o build/lib.linux-x86_64-3.6/apex_C.cpython-36m-x86_64-linux-gnu.so
building 'amp_C' extension
gcc -pthread -B /home/getalp/kelodjoe/anaconda3/envs/env/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/home/getalp/kelodjoe/anaconda3/envs/env/lib/python3.6/site-packages/torch/include -I/home/getalp/kelodjoe/anaconda3/envs/env/lib/python3.6/site-packages/torch/include/torch/csrc/api/include -I/home/getalp/kelodjoe/anaconda3/envs/env/lib/python3.6/site-packages/torch/include/TH -I/home/getalp/kelodjoe/anaconda3/envs/env/lib/python3.6/site-packages/torch/include/THC -I/usr/local/cuda-10.0/include -I/home/getalp/kelodjoe/anaconda3/envs/env/include/python3.6m -c csrc/amp_C_frontend.cpp -o build/temp.linux-x86_64-3.6/csrc/amp_C_frontend.o -O3 -DVERSION_GE_1_1 -DVERSION_GE_1_3 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=amp_C -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++11
cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++
/usr/local/cuda-10.0/bin/nvcc -I/home/getalp/kelodjoe/anaconda3/envs/env/lib/python3.6/site-packages/torch/include -I/home/getalp/kelodjoe/anaconda3/envs/env/lib/python3.6/site-packages/torch/include/torch/csrc/api/include -I/home/getalp/kelodjoe/anaconda3/envs/env/lib/python3.6/site-packages/torch/include/TH -I/home/getalp/kelodjoe/anaconda3/envs/env/lib/python3.6/site-packages/torch/include/THC -I/usr/local/cuda-10.0/include -I/home/getalp/kelodjoe/anaconda3/envs/env/include/python3.6m -c csrc/multi_tensor_sgd_kernel.cu -o build/temp.linux-x86_64-3.6/csrc/multi_tensor_sgd_kernel.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options '-fPIC' -lineinfo -O3 --use_fast_math -DVERSION_GE_1_1 -DVERSION_GE_1_3 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=amp_C -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_70,code=sm_70 -gencode=arch=compute_61,code=sm_61 -gencode=arch=compute_75,code=sm_75 -std=c++11
/home/getalp/kelodjoe/anaconda3/envs/env/lib/python3.6/site-packages/torch/include/c10/core/TensorTypeSet.h(44): warning: integer conversion resulted in a change of sign

/home/getalp/kelodjoe/anaconda3/envs/env/lib/python3.6/site-packages/torch/include/c10/core/TensorTypeSet.h(44): warning: integer conversion resulted in a change of sign

/home/getalp/kelodjoe/anaconda3/envs/env/lib/python3.6/site-packages/torch/include/c10/core/TensorTypeSet.h(44): warning: integer conversion resulted in a change of sign

/home/getalp/kelodjoe/anaconda3/envs/env/lib/python3.6/site-packages/torch/include/c10/core/TensorTypeSet.h(44): warning: integer conversion resulted in a change of sign

/usr/local/cuda-10.0/bin/nvcc -I/home/getalp/kelodjoe/anaconda3/envs/env/lib/python3.6/site-packages/torch/include -I/home/getalp/kelodjoe/anaconda3/envs/env/lib/python3.6/site-packages/torch/include/torch/csrc/api/include -I/home/getalp/kelodjoe/anaconda3/envs/env/lib/python3.6/site-packages/torch/include/TH -I/home/getalp/kelodjoe/anaconda3/envs/env/lib/python3.6/site-packages/torch/include/THC -I/usr/local/cuda-10.0/include -I/home/getalp/kelodjoe/anaconda3/envs/env/include/python3.6m -c csrc/multi_tensor_scale_kernel.cu -o build/temp.linux-x86_64-3.6/csrc/multi_tensor_scale_kernel.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options '-fPIC' -lineinfo -O3 --use_fast_math -DVERSION_GE_1_1 -DVERSION_GE_1_3 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=amp_C -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_70,code=sm_70 -gencode=arch=compute_61,code=sm_61 -gencode=arch=compute_75,code=sm_75 -std=c+python setup.py install --cuda_ext --cpp_ext+11
/home/getalp/kelodjoe/anaconda3/envs/env/lib/python3.6/site-packages/torch/include/c10/core/TensorTypeSet.h(44): warning: integer conversion resulted in a change of sign

/home/getalp/kelodjoe/anaconda3/envs/env/lib/python3.6/site-packages/torch/include/c10/core/TensorTypeSet.h(44): warning: integer conversion resulted in a change of sign

/home/getalp/kelodjoe/anaconda3/envs/env/lib/python3.6/site-packages/torch/include/c10/core/TensorTypeSet.h(44): warning: integer conversion resulted in a change of sign

/home/getalp/kelodjoe/anaconda3/envs/env/lib/python3.6/site-packages/torch/include/c10/core/TensorTypeSet.h(44): warning: integer conversion resulted in a change of sign

/usr/local/cuda-10.0/bin/nvcc -I/home/getalp/kelodjoe/anaconda3/envs/env/lib/python3.6/site-packages/torch/include -I/home/getalp/kelodjoe/anaconda3/envs/env/lib/python3.6/site-packages/torch/include/torch/csrc/api/include -I/home/getalp/kelodjoe/anaconda3/envs/env/lib/python3.6/site-packages/torch/include/TH -I/home/getalp/kelodjoe/anaconda3/envs/env/lib/python3.6/site-packages/torch/include/THC -I/usr/local/cuda-10.0/include -I/home/getalp/kelodjoe/anaconda3/envs/env/include/python3.6m -c csrc/multi_tensor_axpby_kernel.cu -o build/temp.linux-x86_64-3.6/csrc/multi_tensor_axpby_kernel.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options '-fPIC' -lineinfo -O3 --use_fast_math -DVERSION_GE_1_1 -DVERSION_GE_1_3 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=amp_C -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_70,code=sm_70 -gencode=arch=compute_61,code=sm_61 -gencode=arch=compute_75,code=sm_75 -std=c++11
/home/getalp/kelodjoe/anaconda3/envs/env/lib/python3.6/site-packages/torch/include/c10/core/TensorTypeSet.h(44): warning: integer conversion resulted in a change of sign

....

ld/bdist.linux-x86_64/egg' to it
removing 'build/bdist.linux-x86_64/egg' (and everything under it)
Processing apex-0.1-py3.6-linux-x86_64.egg
creating /data1/home/getalp/kelodjoe/anaconda3/envs/env/lib/python3.6/site-packages/apex-0.1-py3.6-linux-x86_64.egg
Extracting apex-0.1-py3.6-linux-x86_64.egg to /data1/home/getalp/kelodjoe/anaconda3/envs/env/lib/python3.6/site-packages
Adding apex 0.1 to easy-install.pth file

Installed /data1/home/getalp/kelodjoe/anaconda3/envs/env/lib/python3.6/site-packages/apex-0.1-py3.6-linux-x86_64.egg
Processing dependencies for apex==0.1
Finished processing dependencies for apex==0.1
(env) kelodjoe@decore2:~/apex$

At the final as you see above, It says apex installed but the error referring to -Wstrict-prototypes bother me especially after when using my set of command to train my model, I get an error like this :

RuntimeError: CUDA error: invalid device function (multi_tensor_apply at csrc/multi_tensor_apply.cuh:108)
frame #0: c10::Error::Error(c10::SourceLocation, std::string const&) + 0x33 (0x7f7ea6c64193 in /home/getalp/kelodjoe/anaconda3/envs/env/lib/python3.6/site-packages/torch/lib/libc10.so)
frame #1: void multi_tensor_apply<2, ScaleFunctor<float, float>, float>(int, int, at::Tensor const&, std::vector<std::vector<at::Tensor, std::allocatorat::Tensor >, std::allocator<std::vector<at::Tensor, std::allocatorat::Tensor > > > const&, ScaleFunctor<float, float>, float) + 0x183f (0x7f7ea0dd379f in /home/getalp/kelodjoe/anaconda3/envs/env/lib/python3.6/site-packages/apex-0.1-py3.6-linux-x86_64.egg/amp_C.cpython-36m-x86_64-linux-gnu.so)
frame #2: multi_tensor_scale_cuda(int, at::Tensor, std::vector<std::vector<at::Tensor, std::allocatorat::Tensor >, sTraceback (most recent call last):
File "train.py", line 391, in
main(params)
File "train.py", line 309, in main
trainer.mlm_step(lang1, lang2, params.lambda_mlm)
File "/data1/home/getalp/kelodjoe/eXP/Flaubert/xlm/trainer.py", line 781, in mlm_step
self.optimize(loss)
File "/data1/home/getalp/kelodjoe/eXP/Flaubert/xlm/trainer.py", line 250, in optimize
scaled_loss.backward()
File "/home/getalp/kelodjoe/anaconda3/envs/env/lib/python3.6/contextlib.py", line 88, in exit
next(self.gen)
File "/home/getalp/kelodjoe/anaconda3/envs/env/lib/python3.6/site-packages/apex-0.1-py3.6-linux-x86_64.egg/apex/amp/handle.py", line 123, in scale_loss
optimizer._post_amp_backward(loss_scaler)
File "/home/getalp/kelodjoe/anaconda3/envs/env/lib/python3.6/site-packages/apex-0.1-py3.6-linux-x86_64.egg/apex/amp/_process_optimizer.py", line 241, in post_backward_no_master_weights
post_backward_models_are_masters(scaler, params, stashed_grads)
File "/home/getalp/kelodjoe/anaconda3/envs/env/lib/python3.6/site-packages/apex-0.1-py3.6-linux-x86_64.egg/apex/amp/_process_optimizer.py", line 120, in post_backward_models_are_masters
scale_override=grads_have_scale/out_scale)
File "/home/getalp/kelodjoe/anaconda3/envs/env/lib/python3.6/site-packages/apex-0.1-py3.6-linux-x86_64.egg/apex/amp/scaler.py", line 117, in unscale
1./scale)
File "/home/getalp/kelodjoe/anaconda3/envs/env/lib/python3.6/site-packages/apex-0.1-py3.6-linux-x86_64.egg/apex/multi_tensor_apply/multi_tensor_apply.py", line 30, in call
*args)
RuntimeError: CUDA error: invalid device function (multi_tensor_apply at csrc/multi_tensor_apply.cuh:108)
frame #0: c10::Error::Error(c10::SourceLocation, std::string const&) + 0x33 (0x7f7ea6c64193 in /home/getalp/kelodjoe/anaconda3/envs/env/lib/python3.6/site-packages/torch/lib/libc10.so)
frame #1: void multi_tensor_apply<2, ScaleFunctor<float, float>, float>(int, int, at::Tensor const&, std::vector<std::vector<at::Tensor, std::allocatorat::Tensor >, std::allocator<std::vector<at::Tensor, std::allocatorat::Tensor > > > const&, ScaleFunctor<float, float>, float) + 0x183f (0x7f7ea0dd379f in /home/getalp/kelodjoe/anaconda3/envs/env/lib/python3.6/site-packages/apex-0.1-py3.6-linux-x86_64.egg/amp_C.cpython-36m-x86_64-linux-gnu.so)
frame #2: multi_tensor_scale_cuda(int, at::Tensor, std::vector<std::vector<at::Tensor, std::allocatorat::Tensor >, std::allocator<std::vector<at::Tensor, std::allocatorat::Tensor > > >, float) + 0x1679 (0x7f7ea0dcff39 in /home/getalp/kelodjoe/anaconda3/envs/env/lib/python3.6/site-packages/apex-0.1-py3.6-linux-x86_64.egg/amp_C.cpython-36m-x86_64-linux-gnu.so)
frame #3: + 0x200cc (0x7f7ea0dc30cc in /home/getalp/kelodjoe/anaconda3/envs/env/lib/python3.6/site-packages/apex-0.1-py3.6-linux-x86_64.egg/amp_C.cpython-36m-x86_64-linux-gnu.so)
frame #4: + 0x1a634 (0x7f7ea0dbd634 in /home/getalp/kelodjoe/anaconda3/envs/env/lib/python3.6/site-packages/apex-0.1-py3.6-linux-x86_64.egg/amp_C.cpython-36m-x86_64-linux-gnu.so)

GPU used says that its cuda is 10.1 do you think the error comes from that but how can I change the cuda on my virtual env I tried to export cuda 10.1 to install apex but it always say cuda 10.0 on the virtual env.

I used this command before installing apex : export CUDA_VISIBLE_DEVICES=0
export CUDA_ROOT=/usr/local/cuda-10.1
export PATH=${CUDA_ROOT}/bin:${PATH}
export LD_LIBRARY_PATH=${CUDA_ROOT}/lib64:${LD_LIBRARY_PATH}
export CUDA_HOME=${CUDAROOT}

and it returns 10.0 OR the gpu I used after installing apex to train my model run with cuda 10.1

Start with the build command and CUDA compilation output, then inspect csrc/multi_tensor_apply.cuh at line 108 and the generated amp_C extension. Reproduce the failure through train.py line 391 and xlm/trainer.py lines 250 and 781. Done means the extension builds for the available device and the training path completes without the invalid-device-function error.