when compiling, the following error occurred: 'identifier cublasGetStatusString is undefined'

[tanghui315]

I encountered an error while executing the command cd llama.cpp && mkdir build && cd build && cmake .. -DLLAMA_CUBLAS=ON && cmake --build . --config Release in a Docker environment. Below is the log information, including the CUDA version. I'm not sure what the reason is. What should I do?

---

nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2021 NVIDIA Corporation
Built on Sun_Feb_14_21:12:58_PST_2021
Cuda compilation tools, release 11.2, V11.2.152
Build cuda_11.2.r11.2/compiler.29618528_0
Fri Jun 9 13:16:39 2023
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 470.57.02 Driver Version: 470.57.02 CUDA Version: 11.4 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 Tesla V100-PCIE... Off | 00000000:C1:00.0 Off | 0 |
| N/A 26C P0 23W / 250W | 0MiB / 16160MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| No running processes found |
+-----------------------------------------------------------------------------+
-- The C compiler identification is GNU 8.4.0
-- The CXX compiler identification is GNU 8.4.0
-- 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 Git: /usr/bin/git (found version "2.17.1")
-- Looking for pthread.h
-- Looking for pthread.h - found
-- Performing Test CMAKE_HAVE_LIBC_PTHREAD
-- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed
-- Check if compiler accepts -pthread
-- Check if compiler accepts -pthread - yes
-- Found Threads: TRUE
-- Found CUDAToolkit: /usr/local/cuda/include (found version "11.2.152")
-- cuBLAS found
-- The CUDA compiler identification is NVIDIA 11.2.152
-- Detecting CUDA compiler ABI info
-- Detecting CUDA compiler ABI info - done
-- Check for working CUDA compiler: /usr/local/cuda/bin/nvcc - skipped
-- Detecting CUDA compile features
-- Detecting CUDA compile features - done
-- CMAKE_SYSTEM_PROCESSOR: x86_64
-- x86 detected
-- GGML CUDA sources found, configuring CUDA architecture
-- Configuring done
-- Generating done
-- Build files have been written to: /workspace/llama.cpp/build
[ 2%] Built target BUILD_INFO
[ 5%] Building C object CMakeFiles/ggml.dir/ggml.c.o
[ 8%] Building CUDA object CMakeFiles/ggml.dir/ggml-cuda.cu.o
/workspace/llama.cpp/ggml-cuda.cu(1068): error: identifier "cublasGetStatusString" is undefined

/workspace/llama.cpp/ggml-cuda.cu(1069): error: identifier "cublasGetStatusString" is undefined

/workspace/llama.cpp/ggml-cuda.cu(1337): error: identifier "cublasGetStatusString" is undefined

/workspace/llama.cpp/ggml-cuda.cu(1338): error: identifier "cublasGetStatusString" is undefined

4 errors detected in the compilation of "/workspace/llama.cpp/ggml-cuda.cu".
make[2]: *** [CMakeFiles/ggml.dir/ggml-cuda.cu.o] Error 1
CMakeFiles/ggml.dir/build.make:89: recipe for target 'CMakeFiles/ggml.dir/ggml-cuda.cu.o' failed
CMakeFiles/Makefile2:359: recipe for target 'CMakeFiles/ggml.dir/all' failed
make[1]: *** [CMakeFiles/ggml.dir/all] Error 2
Makefile:100: recipe for target 'all' failed
make: *** [all] Error 2

[xjDUAN184]

同样的问题，老哥解决了吗？

[tanghui315]

同样的问题，老哥解决了吗？
没有

[kexul]

same issue here.

[cpuchner]

I just solved this by upgrading cuda to 12.1

[tanghui315]

I just solved this by upgrading cuda to 12.1

Is it necessary for the CUDA version of Docker to match the CUDA version of nvidia-smi ? Or is it sufficient to only upgrade the CUDA version of Docker ?

[effusiveperiscope]

Same issue; upgrading to 12.1 did not appear to fix it

[githubcheng2978]

make CUDART_VERSION=11, may be solve it.

[tanghui315]

make CUDART_VERSION=11, may be solve it.

I tried it, but it didn't work. The problem still exists.

[githubcheng2978]

make CUDART_VERSION=11, may be solve it.

I tried it, but it didn't work. The problem still exists.

have you linked cuda`s dynamic library?

[tanghui315]

make CUDART_VERSION=11, may be solve it.

I tried it, but it didn't work. The problem still exists.

have you linked cuda`s dynamic library?

How to determine if the CUDA dynamic library is linked?

[githubcheng2978]

make CUDART_VERSION=11, may be solve it.

I tried it, but it didn't work. The problem still exists.

have you linked cuda`s dynamic library?

How to determine if the CUDA dynamic library is linked?

Add me on WeChat
ID: ByteO1

[KJC-Dev]

Just chiming into to say that I am having the same issue. Here is my log if it is of help

I llama.cpp build info:
I UNAME_S: Linux
I UNAME_P: unknown
I UNAME_M: x86_64
I CFLAGS: -I. -O3 -std=c11 -fPIC -DNDEBUG -Wall -Wextra -Wpedantic -Wcast-qual -Wdouble-promotion -Wshadow -Wstrict-prototypes -Wpointer-arith -pthread -march=native -mtune=native -DGGML_USE_K_QUANTS
I CXXFLAGS: -I. -I./examples -O3 -std=c++11 -fPIC -DNDEBUG -Wall -Wextra -Wpedantic -Wcast-qual -Wno-unused-function -Wno-multichar -pthread -march=native -mtune=native -DGGML_USE_K_QUANTS
I LDFLAGS:
I CC: cc (Debian 10.2.1-6) 10.2.1 20210110
I CXX: g++ (Debian 10.2.1-6) 10.2.1 20210110

rm -vf *.o main quantize quantize-stats perplexity embedding benchmark-matmult save-load-state server vdot build-info.h
removed 'common.o'
removed 'ggml.o'
removed 'k_quants.o'
removed 'llama.o'
removed 'build-info.h'
I llama.cpp build info:
I UNAME_S: Linux
I UNAME_P: unknown
I UNAME_M: x86_64
I CFLAGS: -I. -O3 -std=c11 -fPIC -DNDEBUG -Wall -Wextra -Wpedantic -Wcast-qual -Wdouble-promotion -Wshadow -Wstrict-prototypes -Wpointer-arith -pthread -march=native -mtune=native -DGGML_USE_K_QUANTS -DGGML_USE_CUBLAS -I/usr/local/cuda/include -I/opt/cuda/include -I/targets/x86_64-linux/include
I CXXFLAGS: -I. -I./examples -O3 -std=c++11 -fPIC -DNDEBUG -Wall -Wextra -Wpedantic -Wcast-qual -Wno-unused-function -Wno-multichar -pthread -march=native -mtune=native -DGGML_USE_K_QUANTS -DGGML_USE_CUBLAS -I/usr/local/cuda/include -I/opt/cuda/include -I/targets/x86_64-linux/include
I LDFLAGS: -lcublas -lculibos -lcudart -lcublasLt -lpthread -ldl -lrt -L/usr/local/cuda/lib64 -L/opt/cuda/lib64 -L/targets/x86_64-linux/lib
I CC: cc (Debian 10.2.1-6) 10.2.1 20210110
I CXX: g++ (Debian 10.2.1-6) 10.2.1 20210110

cc -I. -O3 -std=c11 -fPIC -DNDEBUG -Wall -Wextra -Wpedantic -Wcast-qual -Wdouble-promotion -Wshadow -Wstrict-prototypes -Wpointer-arith -pthread -march=native -mtune=native -DGGML_USE_K_QUANTS -DGGML_USE_CUBLAS -I/usr/local/cuda/include -I/opt/cuda/include -I/targets/x86_64-linux/include -c ggml.c -o ggml.o
g++ -I. -I./examples -O3 -std=c++11 -fPIC -DNDEBUG -Wall -Wextra -Wpedantic -Wcast-qual -Wno-unused-function -Wno-multichar -pthread -march=native -mtune=native -DGGML_USE_K_QUANTS -DGGML_USE_CUBLAS -I/usr/local/cuda/include -I/opt/cuda/include -I/targets/x86_64-linux/include -c llama.cpp -o llama.o
g++ -I. -I./examples -O3 -std=c++11 -fPIC -DNDEBUG -Wall -Wextra -Wpedantic -Wcast-qual -Wno-unused-function -Wno-multichar -pthread -march=native -mtune=native -DGGML_USE_K_QUANTS -DGGML_USE_CUBLAS -I/usr/local/cuda/include -I/opt/cuda/include -I/targets/x86_64-linux/include -c examples/common.cpp -o common.o
cc -I. -O3 -std=c11 -fPIC -DNDEBUG -Wall -Wextra -Wpedantic -Wcast-qual -Wdouble-promotion -Wshadow -Wstrict-prototypes -Wpointer-arith -pthread -march=native -mtune=native -DGGML_USE_K_QUANTS -DGGML_USE_CUBLAS -I/usr/local/cuda/include -I/opt/cuda/include -I/targets/x86_64-linux/include -c -o k_quants.o k_quants.c
nvcc --forward-unknown-to-host-compiler -arch=sm_61 -DGGML_CUDA_DMMV_X=32 -DGGML_CUDA_DMMV_Y=1 -I. -I./examples -O3 -std=c++11 -fPIC -DNDEBUG -Wall -Wextra -Wpedantic -Wcast-qual -Wno-unused-function -Wno-multichar -pthread -march=native -mtune=native -DGGML_USE_K_QUANTS -DGGML_USE_CUBLAS -I/usr/local/cuda/include -I/opt/cuda/include -I/targets/x86_64-linux/include -Wno-pedantic -c ggml-cuda.cu -o ggml-cuda.o
ggml-cuda.cu(1356): error: identifier "cublasGetStatusString" is undefined

ggml-cuda.cu(1357): error: identifier "cublasGetStatusString" is undefined

ggml-cuda.cu(1643): error: identifier "cublasGetStatusString" is undefined

ggml-cuda.cu(1644): error: identifier "cublasGetStatusString" is undefined

4 errors detected in the compilation of "ggml-cuda.cu".

[brandonj60]

I can compile the code on Windows, but when running from server.exe I get a related "The procedure entry point cublasGetStatusString could not be located in dynamic link library llama.cpp\build\bin\Release\server.exe". Seems the issue was introduced with this commit. To get around it, I just delete the fprintf statement in line 32 of ggml-cuda.cu.

[slaren]

cublasGetStatusString has been in CUDA since at least the toolkit version 11.4.2. Updating your CUDA toolkit should fix the issue.