Fixed definition when use HIPBLAS

[momimi25]

The build failed when SD_HIPBLAS=ON, so I modified the definition.

[Cyberhan123]

@momimi25 Please read the code carefully, this modification is wrong

[Cyberhan123]

Because the logic of hip and cuda is shared in the code of this code repository.

[momimi25]

Sorry for being early. In the code before the change, the following error occurred and the build stopped, so when I tried making the change, the build passed.

lld-link: error: undefined symbol: __declspec(dllimport) ggml_backend_cuda_init
>>> referenced by stable-diffusion.lib(stable-diffusion.cpp.obj):(public: bool __cdecl StableDiffusionGGML::load_from_file(class std::basic_string<char, struct std::char_traits<char>, class std::allocator<char>> const &, class std::basic_string<char, struct std::char_traits<char>, class std::allocator<char>> const &, class std::basic_string<char, struct std::char_traits<char>, class std::allocator<char>>, class std::basic_string<char, struct std::char_traits<char>, class std::allocator<char>>, class std::basic_string<char, struct std::char_traits<char>, class std::allocator<char>> const &, bool, enum ggml_type, enum schedule_t, bool))
>>> referenced by stable-diffusion.lib(upscaler.cpp.obj):(public: bool __cdecl UpscalerGGML::load_from_file(class std::basic_string<char, struct std::char_traits<char>, class std::allocator<char>> const &))
CLANG_~1: error: linker command failed with exit code 1 (use -v to see invocation)
ninja: build stopped: subcommand failed.

I would like to review it, including how to use it, and if I find anything, I would like to raise an issue.

[Cyberhan123]

Sorry for being early. In the code before the change, the following error occurred and the build stopped, so when I tried making the change, the build passed.

lld-link: error: undefined symbol: __declspec(dllimport) ggml_backend_cuda_init
>>> referenced by stable-diffusion.lib(stable-diffusion.cpp.obj):(public: bool __cdecl StableDiffusionGGML::load_from_file(class std::basic_string<char, struct std::char_traits<char>, class std::allocator<char>> const &, class std::basic_string<char, struct std::char_traits<char>, class std::allocator<char>> const &, class std::basic_string<char, struct std::char_traits<char>, class std::allocator<char>>, class std::basic_string<char, struct std::char_traits<char>, class std::allocator<char>>, class std::basic_string<char, struct std::char_traits<char>, class std::allocator<char>> const &, bool, enum ggml_type, enum schedule_t, bool))
>>> referenced by stable-diffusion.lib(upscaler.cpp.obj):(public: bool __cdecl UpscalerGGML::load_from_file(class std::basic_string<char, struct std::char_traits<char>, class std::allocator<char>> const &))
CLANG_~1: error: linker command failed with exit code 1 (use -v to see invocation)
ninja: build stopped: subcommand failed.

I would like to review it, including how to use it, and if I find anything, I would like to raise an issue.

You can download the program built in the release, It's normal for me:

 ./sd -m C:\Users\11929\Desktop\stable-diffusion.cpp\models\miniSD.ckpt -p "a cat" -W 256 -H 256
ggml_init_cublas: GGML_CUDA_FORCE_MMQ:   no
ggml_init_cublas: CUDA_USE_TENSOR_CORES: yes
ggml_init_cublas: found 1 ROCm devices:
  Device 0: AMD Radeon RX 7900 XTX, compute capability 11.0, VMM: no
[INFO ] stable-diffusion.cpp:142  - loading model from 'C:\Users\11929\Desktop\stable-diffusion.cpp\models\miniSD.ckpt'
[INFO ] model.cpp:679  - load C:\Users\11929\Desktop\stable-diffusion.cpp\models\miniSD.ckpt using checkpoint format
[INFO ] stable-diffusion.cpp:164  - Stable Diffusion 1.x
[INFO ] stable-diffusion.cpp:170  - Stable Diffusion weight type: f32
[INFO ] stable-diffusion.cpp:306  - total params memory size = 1408.32MB (clip 469.44MB, unet 2155.33MB, vae 94.47MB, controlnet 0.00MB)
[INFO ] stable-diffusion.cpp:310  - loading model from 'C:\Users\11929\Desktop\stable-diffusion.cpp\models\miniSD.ckpt' completed, taking 10.50s
[INFO ] stable-diffusion.cpp:327  - running in eps-prediction mode
[INFO ] stable-diffusion.cpp:1356 - apply_loras completed, taking 0.00s
[INFO ] stable-diffusion.cpp:1395 - get_learned_condition completed, taking 59 ms
[INFO ] stable-diffusion.cpp:1411 - sampling using Euler A method
[INFO ] stable-diffusion.cpp:1415 - generating image: 1/1 - seed 42
  |==================================================| 20/20 - 11.01it/s
[INFO ] stable-diffusion.cpp:1441 - sampling completed, taking 1.91s
[INFO ] stable-diffusion.cpp:1449 - generating 1 latent images completed, taking 1.93s
[INFO ] stable-diffusion.cpp:1451 - decoding 1 latents
[INFO ] stable-diffusion.cpp:1461 - latent 1 decoded, taking 0.14s
[INFO ] stable-diffusion.cpp:1465 - decode_first_stage completed, taking 0.14s
[INFO ] stable-diffusion.cpp:1484 - txt2img completed in 2.14s
save result image to 'output.png'