I am really new to this process, and I recently did a cuda llama.cpp build on my 3060 mobile GPU, faced very less issues.

Now I wanted to utilize the VRAM of my main PC GPU which has amd gpu, 7900 gre.

I went away and installed HIP SDK from here:
Install HIP SDK — HIP SDK installation (Windows)

after that followed some github advise and reddit advise from official llama.cpp repo and Guide: build llama.cpp on windows with AMD GPUs, and using ROCm : r/LocalLLaMA
and
llama.cpp guide - Running LLMs locally, on any hardware, from scratch (this one is great for newbies)

installed llvm to provide openmp path as well.

after many iterations I came to this conclusion:

cmake --fresh -S . -B build -G Ninja `
  -DCMAKE_BUILD_TYPE=Release `
  -DCMAKE_INSTALL_PREFIX="C:\Users\dreadwing\AppData\Local\llama.cpp\ROCm" `
  -DLLAMA_BUILD_TESTS=OFF `
  -DLLAMA_BUILD_EXAMPLES=ON `
  -DLLAMA_BUILD_SERVER=ON `
  -DCURL_INCLUDE_DIR="G:/vcpkg/packages/curl_x64-windows/include" `
  -DCURL_LIBRARY="G:/vcpkg/packages/curl_x64-windows/lib/libcurl.lib" `
  -DGPU_TARGETS=gfx1100 `
  -DGGML_HIP=ON `
  -DCMAKE_C_COMPILER=clang `
  -DCMAKE_CXX_COMPILER=clang++ `
  -DOpenMP_C_FLAGS="-fopenmp -IC:/PROGRA~1/LLVM/include" `
  -DOpenMP_CXX_FLAGS="-fopenmp -IC:/PROGRA~1/LLVM/include" `
  -DOpenMP_C_LIB_NAMES="libomp" `
  -DOpenMP_CXX_LIB_NAMES="libomp" `
  -DOpenMP_libomp_LIBRARY="C:/PROGRA~1/LLVM/lib/libomp.lib"

And it gives me this output:

-- The C compiler identification is Clang 20.0.0 with GNU-like command-line
-- The CXX compiler identification is Clang 20.0.0 with GNU-like command-line
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Check for working C compiler: C:/Program Files/AMD/ROCm/6.4/bin/clang.exe - 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: C:/Program Files/AMD/ROCm/6.4/bin/clang++.exe - skipped
-- Detecting CXX compile features
-- Detecting CXX compile features - done
CMAKE_BUILD_TYPE=Release
-- Found Git: C:/Program Files/Git/cmd/git.exe (found version "2.51.2.windows.1")
-- The ASM compiler identification is Clang with GNU-like command-line
-- Found assembler: C:/Program Files/AMD/ROCm/6.4/bin/clang.exe
-- Performing Test CMAKE_HAVE_LIBC_PTHREAD
-- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed
-- Check if compiler accepts -pthread
-- Check if compiler accepts -pthread - no
-- Looking for pthread_create in pthreads
-- Looking for pthread_create in pthreads - not found
-- Looking for pthread_create in pthread
-- Looking for pthread_create in pthread - not found
-- Found Threads: TRUE
-- Warning: ccache not found - consider installing it for faster compilation or disable this warning with GGML_CCACHE=OFF
-- CMAKE_SYSTEM_PROCESSOR: AMD64
-- GGML_SYSTEM_ARCH: x86
-- Including CPU backend
-- Found OpenMP_C: -fopenmp -IC:/PROGRA~1/LLVM/include (found version "5.1")
-- Found OpenMP_CXX: -fopenmp -IC:/PROGRA~1/LLVM/include (found version "5.1")
-- Found OpenMP: TRUE (found version "5.1")
-- x86 detected
-- Adding CPU backend variant ggml-cpu: -march=native
-- Performing Test HIP_CLANG_SUPPORTS_PARALLEL_JOBS
-- Performing Test HIP_CLANG_SUPPORTS_PARALLEL_JOBS - Success
-- HIP and hipBLAS found
-- Including HIP backend
-- ggml version: 0.9.4
-- ggml commit:  9eb9a1331
-- Found CURL: G:/vcpkg/packages/curl_x64-windows/lib/libcurl.lib (found version "8.17.0-DEV")
-- Configuring done (3.3s)
-- Generating done (0.2s)
-- Build files have been written to: G:/llama/llama.cpp/build

All is going well but as soon as I run the llama commands, the output is empty, no nothing nada,

PS G:\llama\llama.cpp> llama-cli.exe --help

PS G:\llama\llama.cpp> llama-batched.exe

PS G:\llama\llama.cpp> llama-bench.exe

PS G:\llama\llama.cpp>

something like this, nothing is printing.

I am running latest MSVC runtime and in visual studio 2022 I also installed latest msvc.

I think I am missing something really acute, can someone please help me in my findings?

Much appreciated, Thanks.

EDIT:

I did a standalone llama.cpp build that just works with CPU and guess what, that is also behaving in the same manner, now I am getting a little clueless, dependency is not getting resolved