yhilgjff
commented
8 months ago I have the same exact error on a Debian 12 system running latest:
# cmake -DWITH_HTTPD=OFF -DCUDA_ARCH="80" -DWITH_AEON=OFF ..
CMake Deprecation Warning at CMakeLists.txt:1 (cmake_minimum_required):
Compatibility with CMake < 2.8.12 will be removed from a future version of
CMake.
Update the VERSION argument <min> value or use a ...<max> suffix to tell
CMake that the project does not need compatibility with older versions.
-- The C compiler identification is GNU 12.2.0
-- The CXX compiler identification is GNU 12.2.0
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Check for working C compiler: /usr/bin/cc - skipped
-- Detecting C compile features
-- Detecting C compile features - done
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Check for working CXX compiler: /usr/bin/c++ - skipped
-- Detecting CXX compile features
-- Detecting CXX compile features - done
-- Found UV: /usr/lib/x86_64-linux-gnu/libuv.so
-- Performing Test CMAKE_HAVE_LIBC_PTHREAD
-- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success
-- Found Threads: TRUE
-- Found CUDA: /usr/local/cuda (found suitable version "12.4", minimum required is "8.0")
-- Found NVML: /usr/local/cuda/include
-- Found OpenSSL: /usr/lib/x86_64-linux-gnu/libcrypto.so (found version "3.0.11")
-- The ASM compiler identification is GNU
-- Found assembler: /usr/bin/cc
-- Looking for syslog.h
-- Looking for syslog.h - found
-- Configuring done
-- Generating done
-- Build files have been written to: /opt/xmrig-nvidia/build
# make
[ 1%] Building NVCC (Device) object CMakeFiles/xmrig-cuda.dir/src/nvidia/xmrig-cuda_generated_cuda_extra.cu.o
/opt/xmrig-nvidia/src/nvidia/cuda_extra.cu: In function ‘void cryptonight_extra_cpu_prepare(nvid_ctx*, uint32_t, xmrig::Algo, xmrig::Variant)’:
/opt/xmrig-nvidia/src/nvidia/cuda_extra.cu:416:182: warning: passing argument 5 to ‘restrict’-qualified parameter aliases with argument 6 [-Wrestrict]
416 | CUDA_CHECK_KERNEL(ctx->device_id, cryptonight_extra_gpu_prepare<xmrig::CRYPTONIGHT, xmrig::VARIANT_AUTO><<<grid, block >>>(wsize, ctx->d_input, ctx->inputlen, startNonce,
| ~~ ^
[ 3%] Building NVCC (Device) object CMakeFiles/xmrig-cuda.dir/src/nvidia/xmrig-cuda_generated_cuda_core.cu.o
/opt/xmrig-nvidia/src/nvidia/cuda_cryptonight_gpu.hpp(84): error: identifier "int2float" is undefined
float4::x = int2float(x0.x);
^
/opt/xmrig-nvidia/src/nvidia/cuda_cryptonight_gpu.hpp(220): error: identifier "float_as_int" is undefined
int_as_float(float_as_int(a.x) & b),
^
/opt/xmrig-nvidia/src/nvidia/cuda_cryptonight_gpu.hpp(220): error: identifier "int_as_float" is undefined
int_as_float(float_as_int(a.x) & b),
^
/opt/xmrig-nvidia/src/nvidia/cuda_cryptonight_gpu.hpp(230): error: identifier "float_as_int" is undefined
int_as_float(float_as_int(a.x) | b),
^
/opt/xmrig-nvidia/src/nvidia/cuda_cryptonight_gpu.hpp(230): error: identifier "int_as_float" is undefined
int_as_float(float_as_int(a.x) | b),
^
/opt/xmrig-nvidia/src/nvidia/cuda_cryptonight_gpu.hpp(240): error: identifier "float_as_int" is undefined
int_as_float(float_as_int(a.x) ^ b),
^
/opt/xmrig-nvidia/src/nvidia/cuda_cryptonight_gpu.hpp(240): error: identifier "int_as_float" is undefined
int_as_float(float_as_int(a.x) ^ b),
^
7 errors detected in the compilation of "/opt/xmrig-nvidia/src/nvidia/cuda_core.cu".
CMake Error at xmrig-cuda_generated_cuda_core.cu.o.Release.cmake:280 (message):
Error generating file
/opt/xmrig-nvidia/build/CMakeFiles/xmrig-cuda.dir/src/nvidia/./xmrig-cuda_generated_cuda_core.cu.o
make[2]: *** [CMakeFiles/xmrig-cuda.dir/build.make:77: CMakeFiles/xmrig-cuda.dir/src/nvidia/xmrig-cuda_generated_cuda_core.cu.o] Error 1
make[1]: *** [CMakeFiles/Makefile2:86: CMakeFiles/xmrig-cuda.dir/all] Error 2
make: *** [Makefile:91: all] Error 2
## uname -a
Linux MYBOX 6.1.0-18-amd64 #1 SMP PREEMPT_DYNAMIC Debian 6.1.76-1 (2024-02-01) x86_64 GNU/Linux# dpkg -l | grep -i cuda
ii cuda-cccl-12-4 12.4.99-1 amd64 CUDA CCCL
ii cuda-command-line-tools-12-4 12.4.0-1 amd64 CUDA command-line tools
ii cuda-compiler-12-4 12.4.0-1 amd64 CUDA compiler
ii cuda-crt-12-4 12.4.99-1 amd64 CUDA crt
ii cuda-cudart-12-4 12.4.99-1 amd64 CUDA Runtime native Libraries
ii cuda-cudart-dev-12-4 12.4.99-1 amd64 CUDA Runtime native dev links, headers
ii cuda-cuobjdump-12-4 12.4.99-1 amd64 CUDA cuobjdump
ii cuda-cupti-12-4 12.4.99-1 amd64 CUDA profiling tools runtime libs.
ii cuda-cupti-dev-12-4 12.4.99-1 amd64 CUDA profiling tools interface.
ii cuda-cuxxfilt-12-4 12.4.99-1 amd64 CUDA cuxxfilt
ii cuda-documentation-12-4 12.4.99-1 amd64 CUDA documentation
ii cuda-driver-dev-12-4 12.4.99-1 amd64 CUDA Driver native dev stub library
ii cuda-drivers 550.54.14-1 amd64 CUDA Driver meta-package, branch-agnostic
ii cuda-drivers-550 550.54.14-1 amd64 CUDA Driver meta-package, branch-specific
ii cuda-gdb-12-4 12.4.99-1 amd64 CUDA-GDB
ii cuda-keyring 1.1-1 all GPG keyring for the CUDA repository
ii cuda-libraries-12-4 12.4.0-1 amd64 CUDA Libraries 12.4 meta-package
ii cuda-libraries-dev-12-4 12.4.0-1 amd64 CUDA Libraries 12.4 development meta-package
ii cuda-nsight-12-4 12.4.99-1 amd64 CUDA nsight
ii cuda-nsight-compute-12-4 12.4.0-1 amd64 NVIDIA Nsight Compute
ii cuda-nsight-systems-12-4 12.4.0-1 amd64 NVIDIA Nsight Systems
ii cuda-nvcc-12-4 12.4.99-1 amd64 CUDA nvcc
ii cuda-nvdisasm-12-4 12.4.99-1 amd64 CUDA disassembler
ii cuda-nvml-dev-12-4 12.4.99-1 amd64 NVML native dev links, headers
ii cuda-nvprof-12-4 12.4.99-1 amd64 CUDA Profiler tools
ii cuda-nvprune-12-4 12.4.99-1 amd64 CUDA nvprune
ii cuda-nvrtc-12-4 12.4.99-1 amd64 NVRTC native runtime libraries
ii cuda-nvrtc-dev-12-4 12.4.99-1 amd64 NVRTC native dev links, headers
ii cuda-nvtx-12-4 12.4.99-1 amd64 NVIDIA Tools Extension
ii cuda-nvvm-12-4 12.4.99-1 amd64 CUDA nvvm
ii cuda-nvvp-12-4 12.4.99-1 amd64 CUDA Profiler tools
ii cuda-opencl-12-4 12.4.99-1 amd64 CUDA OpenCL native Libraries
ii cuda-opencl-dev-12-4 12.4.99-1 amd64 CUDA OpenCL native dev links, headers
ii cuda-profiler-api-12-4 12.4.99-1 amd64 CUDA Profiler API
ii cuda-repo-debian12-12-4-local 12.4.0-550.54.14-1 amd64 cuda repository configuration files
ii cuda-sanitizer-12-4 12.4.99-1 amd64 CUDA Sanitizer
ii cuda-toolkit-12-4 12.4.0-1 amd64 CUDA Toolkit 12.4 meta-package
ii cuda-toolkit-12-4-config-common 12.4.99-1 all Common config package for CUDA Toolkit 12.4.
ii cuda-toolkit-12-config-common 12.4.99-1 all Common config package for CUDA Toolkit 12.
ii cuda-toolkit-config-common 12.4.99-1 all Common config package for CUDA Toolkit.
ii cuda-tools-12-4 12.4.0-1 amd64 CUDA Tools meta-package
ii cuda-visual-tools-12-4 12.4.0-1 amd64 CUDA visual tools
ii libcuda1:amd64 550.54.14-1 amd64 NVIDIA CUDA Driver Library
ii libcudadebugger1:amd64 550.54.14-1 amd64 NVIDIA CUDA Debugger Library
ii libcufile-12-4 1.9.0.20-1 amd64 Library for GPU Direct Storage with CUDA 12.4
ii libcusolver-12-4 11.6.0.99-1 amd64 CUDA solver native runtime libraries
ii libcusolver-dev-12-4 11.6.0.99-1 amd64 CUDA solver native dev links, headers
ii libnvcuvid1:amd64 550.54.14-1 amd64 NVIDIA CUDA Video Decoder runtime library
ii nvidia-cuda-mps 550.54.14-1 amd64 NVIDIA CUDA Multi Process Service (MPS)
## lspci -s 01:00.0 -v
01:00.0 VGA compatible controller: NVIDIA Corporation GN20-P0-R-K2 [GeForce RTX 3050 6GB Laptop GPU] (rev a1) (prog-if 00 [VGA controller])
Subsystem: ASUSTeK Computer Inc. GN20-P0-R-K2 [GeForce RTX 3050 6GB Laptop GPU]
Physical Slot: 0
Flags: bus master, fast devsel, latency 0, IRQ 94, IOMMU group 12
Memory at dc000000 (32-bit, non-prefetchable) [size=16M]
Memory at 7c00000000 (64-bit, prefetchable) [size=8G]
Memory at 7e00000000 (64-bit, prefetchable) [size=32M]
I/O ports at f000 [size=128]
Expansion ROM at dd000000 [virtual] [disabled] [size=512K]
Capabilities: [60] Power Management version 3
Capabilities: [68] MSI: Enable+ Count=1/1 Maskable- 64bit+
Capabilities: [78] Express Legacy Endpoint, MSI 00
Capabilities: [b4] Vendor Specific Information: Len=14 <?>
Capabilities: [100] Virtual Channel
Capabilities: [250] Latency Tolerance Reporting
Capabilities: [258] L1 PM Substates
Capabilities: [128] Power Budgeting <?>
Capabilities: [420] Advanced Error Reporting
Capabilities: [600] Vendor Specific Information: ID=0001 Rev=1 Len=024 <?>
Capabilities: [900] Secondary PCI Express
Capabilities: [bb0] Physical Resizable BAR
Capabilities: [c1c] Physical Layer 16.0 GT/s <?>
Capabilities: [d00] Lane Margining at the Receiver <?>
Capabilities: [e00] Data Link Feature <?>
Kernel driver in use: nvidia
Kernel modules: nvidiaI have tried with those lines and all give the same result:
# cmake -DWITH_HTTPD=OFF -DCUDA_ARCH="87" ..
# cmake -DWITH_HTTPD=OFF -DCUDA_ARCH="86" ..
# cmake -DWITH_HTTPD=OFF -DCUDA_ARCH="80" ..
# cmake -DWITH_HTTPD=OFF -DCUDA_ARCH="80" -DWITH_AEON=OFF ..Based on https://docs.nvidia.com/cuda/cuda-compiler-driver-nvcc/index.html#gpu-compilation I could be using any of sm80, sm86 or sm87 yet none work.
HelpMePleasepls
metal3d
I have the latest drivers, cuda, and the tool kit. Cmake is fine going smoothly. I am using the following because I had a "gpu arcitechture is not compatible error"
So I cmake:
cmake .. -DCUDA_ARCH="61" -DWITH_HTTPD=OFF -DWITH_AEON=OFF (I have a 1060 so I have 6.1 architecture
then make ...
make - then here is the error
[ 1%] Building NVCC (Device) object CMakeFiles/xmrig-cuda.dir/src/nvidia/xmrig-cuda_generated_cuda_extra.cu.o /home/sapmi/Downloads/xmrig-nvidia/src/nvidia/cuda_extra.cu: In function ‘void cryptonight_extra_cpu_prepare(nvid_ctx*, uint32_t, xmrig::Algo, xmrig::Variant)’: /home/sapmi/Downloads/xmrig-nvidia/src/nvidia/cuda_extra.cu:416:182: warning: passing argument 5 to ‘restrict’-qualified parameter aliases with argument 6 [-Wrestrict] 416 | CUDA_CHECK_KERNEL(ctx->device_id, cryptonight_extra_gpu_prepare<xmrig::CRYPTONIGHT, xmrig::VARIANT_AUTO><<<grid, block >>>(wsize, ctx->d_input, ctx->inputlen, startNonce, | ~~ ^
[ 3%] Building NVCC (Device) object CMakeFiles/xmrig-cuda.dir/src/nvidia/xmrig-cuda_generated_cuda_core.cu.o /home/sapmi/Downloads/xmrig-nvidia/src/nvidia/cuda_cryptonight_gpu.hpp(84): error: identifier "int2float" is undefined float4::x = int2float(x0.x); ^
/home/sapmi/Downloads/xmrig-nvidia/src/nvidia/cuda_cryptonight_gpu.hpp(220): error: identifier "float_as_int" is undefined int_as_float(float_as_int(a.x) & b), ^
/home/sapmi/Downloads/xmrig-nvidia/src/nvidia/cuda_cryptonight_gpu.hpp(220): error: identifier "int_as_float" is undefined int_as_float(float_as_int(a.x) & b), ^
/home/sapmi/Downloads/xmrig-nvidia/src/nvidia/cuda_cryptonight_gpu.hpp(230): error: identifier "float_as_int" is undefined int_as_float(float_as_int(a.x) | b), ^
/home/sapmi/Downloads/xmrig-nvidia/src/nvidia/cuda_cryptonight_gpu.hpp(230): error: identifier "int_as_float" is undefined int_as_float(float_as_int(a.x) | b), ^
/home/sapmi/Downloads/xmrig-nvidia/src/nvidia/cuda_cryptonight_gpu.hpp(240): error: identifier "float_as_int" is undefined int_as_float(float_as_int(a.x) ^ b), ^
/home/sapmi/Downloads/xmrig-nvidia/src/nvidia/cuda_cryptonight_gpu.hpp(240): error: identifier "int_as_float" is undefined int_as_float(float_as_int(a.x) ^ b), ^
7 errors detected in the compilation of "/home/sapmi/Downloads/xmrig-nvidia/src/nvidia/cuda_core.cu". CMake Error at xmrig-cuda_generated_cuda_core.cu.o.Release.cmake:280 (message): Error generating file /home/sapmi/Downloads/xmrig-nvidia/build/CMakeFiles/xmrig-cuda.dir/src/nvidia/./xmrig-cuda_generated_cuda_core.cu.o
make[2]: [CMakeFiles/xmrig-cuda.dir/build.make:77: CMakeFiles/xmrig-cuda.dir/src/nvidia/xmrig-cuda_generated_cuda_core.cu.o] Error 1 make[1]: [CMakeFiles/Makefile2:86: CMakeFiles/xmrig-cuda.dir/all] Error 2 make: *** [Makefile:91: all] Error 2
Seems to be a data type error. My drivers may be too new for this?