Add Conda Runtime support for -lcuda (#593)

* Use Conda Runtime Libraries

* Also look at stubs
This commit is contained in:
henk717 2024-01-01 05:15:10 +01:00 committed by GitHub
parent 76362ae3c1
commit abecbfc6b5
No known key found for this signature in database
GPG key ID: 4AEE18F83AFDEB23

View file

@ -138,7 +138,7 @@ endif
# it is recommended to use the CMAKE file to build for cublas if you can - will likely work better
ifdef LLAMA_CUBLAS
CUBLAS_FLAGS = -DGGML_USE_CUBLAS -I/usr/local/cuda/include -I/opt/cuda/include -I$(CUDA_PATH)/targets/x86_64-linux/include
CUBLASLD_FLAGS = -lcuda -lcublas -lculibos -lcudart -lcublasLt -lpthread -ldl -lrt -L/usr/local/cuda/lib64 -L/opt/cuda/lib64 -L$(CUDA_PATH)/targets/x86_64-linux/lib -L/usr/local/cuda/targets/aarch64-linux/lib -L/usr/lib/wsl/lib
CUBLASLD_FLAGS = -lcuda -lcublas -lculibos -lcudart -lcublasLt -lpthread -ldl -lrt -Lconda/envs/linux/lib -Lconda/envs/linux/lib/stubs -L/usr/local/cuda/lib64 -L/opt/cuda/lib64 -L$(CUDA_PATH)/targets/x86_64-linux/lib -L/usr/local/cuda/targets/aarch64-linux/lib -L/usr/lib/wsl/lib
CUBLAS_OBJS = ggml-cuda.o ggml_v2-cuda.o ggml_v2-cuda-legacy.o
NVCC = nvcc
NVCCFLAGS = --forward-unknown-to-host-compiler -use_fast_math