运行Grounded-Segment-Anything警告：Failed to load custom C++ ops. Running on CPU mode Only!_userwarning: failed to load custom c++ ops. runnin

Github项目地址：https://github.com/IDEA-Research/Grounded-Segment-Anything

按照GitHub上install without Docker部署后，运行demo时弹出警告：

Usemamning: failed to toad custan C++ ops. Rumning on cpu mode anly!warnings.warn("Failed to load custom C++ ops. Running on CPu mode 0nly!")

开始以为是哪里没有装好，又重装了一遍，还是不行。

尝试用pip check查找有没有冲突的依赖，解决冲突后仍然无法用GPU运行。

解决办法是：

用Docker部署

这时我在Makefile中发现了这样一句：

# This solves https://github.com/IDEA-Research/Grounded-Segment-Anything/issues/53
# and https://github.com/IDEA-Research/Grounded-Segment-Anything/issues/84

所以还是用Docker部署方便。

租用的云GPU不知道为什么在用Docker部署完成之后，运行demo提示：

CUDA not installed is not supported
docker build --build-arg USE_CUDA=0 \
--build-arg TORCH_ARCH= \

也就是自动去构建一个不使用CUDA的Docker镜像，如果想使用GPU需要去修改Makefile文件，把USE_CUDA := 0改成1， NVCC_VRSION := ''not installed"改成"default"，修改后的文件：

# Get version of CUDA and enable it for compilation if CUDA > 11.0
# This solves https://github.com/IDEA-Research/Grounded-Segment-Anything/issues/53
# and https://github.com/IDEA-Research/Grounded-Segment-Anything/issues/84
# when running in Docker
# Check if nvcc is installed
NVCC := $(shell which nvcc)
ifeq ($(NVCC),)
        # NVCC not found
        USE_CUDA := 1
        NVCC_VERSION := "default"
else
        NVCC_VERSION := $(shell nvcc --version | grep -oP 'release \K[0-9.]+')
        USE_CUDA := $(shell echo "$(NVCC_VERSION) > 11" | bc -l)
endif
 
# Add the list of supported ARCHs
ifeq ($(USE_CUDA), 1)
        TORCH_CUDA_ARCH_LIST := "3.5;5.0;6.0;6.1;7.0;7.5;8.0;8.6+PTX"
        BUILD_MESSAGE := "I will try to build the image with CUDA support"
else
        TORCH_CUDA_ARCH_LIST :=
        BUILD_MESSAGE := "CUDA $(NVCC_VERSION) is not supported"
endif
 
 
build-image:
        @echo $(BUILD_MESSAGE)
        docker build --build-arg USE_CUDA=$(USE_CUDA) \
        --build-arg TORCH_ARCH=$(TORCH_CUDA_ARCH_LIST) \
        -t gsa:v0 .
run:
ifeq (,$(wildcard ./sam_vit_h_4b8939.pth))
        wget https://dl.fbaipublicfiles.com/segment_anything/sam_vit_h_4b8939.pth
endif
ifeq (,$(wildcard ./groundingdino_swint_ogc.pth))
        wget https://github.com/IDEA-Research/GroundingDINO/releases/download/v0.1.0-alpha/groundingdino_swint_ogc.pth
endif
        docker run --gpus all -it --rm --net=host --privileged \
        -v /tmp/.X11-unix:/tmp/.X11-unix \
        -v "${PWD}":/home/appuser/working_dir \
        -e DISPLAY=$DISPLAY \
        --name=gsa \
        --ipc=host -it gsa:v0

之后可以构建使用GPU的镜像