Fixed Cuda Dockerfile - #598

Hey @pradhyumna85,

I think I just ran into this. What do you mean with garbage? Do you mean it still produces valid sentences but the answers doesn't make sense?

And can you also explain how the fix works/what was the reason :).

Thanks! Understanding this would help me a lot 😁

Hi @asteinba,
By garbage I mean, absolute garbage - symbols, special characters, Unicode characters etc, no English or any language.

The most relevant change in the Dockerfile is the environment variable - CUDA_DOCKER_ARCH=all
It is mentioned in the readme of the official llama.cpp repo (https://github.com/ggerganov/llama.cpp) in the "Docker with CUDA section"

It basically passes the -Wno-deprecated-gpu-targets to the nvccflags in the llama.cpp makefile. (https://github.com/ggerganov/llama.cpp/blob/master/Makefile)

.
.
.
ifdef LLAMA_CUBLAS
	CFLAGS    += -DGGML_USE_CUBLAS -I/usr/local/cuda/include -I/opt/cuda/include -I$(CUDA_PATH)/targets/x86_64-linux/include
	CXXFLAGS  += -DGGML_USE_CUBLAS -I/usr/local/cuda/include -I/opt/cuda/include -I$(CUDA_PATH)/targets/x86_64-linux/include
	LDFLAGS   += -lcublas -lculibos -lcudart -lcublasLt -lpthread -ldl -lrt -L/usr/local/cuda/lib64 -L/opt/cuda/lib64 -L$(CUDA_PATH)/targets/x86_64-linux/lib
	OBJS      += ggml-cuda.o
	NVCCFLAGS = --forward-unknown-to-host-compiler -use_fast_math
ifdef LLAMA_CUDA_NVCC
	NVCC = $(LLAMA_CUDA_NVCC)
else
	NVCC = nvcc
endif #LLAMA_CUDA_NVCC
ifdef CUDA_DOCKER_ARCH
	NVCCFLAGS += -Wno-deprecated-gpu-targets -arch=$(CUDA_DOCKER_ARCH)
else
	NVCCFLAGS += -arch=native
endif # CUDA_DOCKER_ARCH
.
.
.

CMAKE_ARGS="-DLLAMA_CUBLAS=on" FORCE_CMAKE=1 pip install llama-cpp-python, I just copied from the readme (https://github.com/abetlen/llama-cpp-python) instruction for cublas installation.

Thank you very much for the explanation! I really appreciate that :)

@pradhyumna85 thank you for the fix, lgtm