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llama : reorganize source code + improve CMake (#8006)
* scripts : update sync [no ci] * files : relocate [no ci] * ci : disable kompute build [no ci] * cmake : fixes [no ci] * server : fix mingw build ggml-ci * cmake : minor [no ci] * cmake : link math library [no ci] * cmake : build normal ggml library (not object library) [no ci] * cmake : fix kompute build ggml-ci * make,cmake : fix LLAMA_CUDA + replace GGML_CDEF_PRIVATE ggml-ci * move public backend headers to the public include directory (#8122) * move public backend headers to the public include directory * nix test * spm : fix metal header --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * scripts : fix sync paths [no ci] * scripts : sync ggml-blas.h [no ci] --------- Co-authored-by: slaren <slarengh@gmail.com>
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@@ -29,13 +29,13 @@ You can also run multiple `rpc-server` instances on the same host, each with a d
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## Usage
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On each host, build the corresponding backend with `cmake` and add `-DLLAMA_RPC=ON` to the build options.
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On each host, build the corresponding backend with `cmake` and add `-DGGML_RPC=ON` to the build options.
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For example, to build the CUDA backend with RPC support:
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```bash
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mkdir build-rpc-cuda
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cd build-rpc-cuda
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cmake .. -DLLAMA_CUDA=ON -DLLAMA_RPC=ON
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cmake .. -DGGML_CUDA=ON -DGGML_RPC=ON
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cmake --build . --config Release
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```
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@@ -58,12 +58,12 @@ $ CUDA_VISIBLE_DEVICES=0 bin/rpc-server -p 50052
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This way you can run multiple `rpc-server` instances on the same host, each with a different CUDA device.
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On the main host build `llama.cpp` only with `-DLLAMA_RPC=ON`:
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On the main host build `llama.cpp` only with `-DGGML_RPC=ON`:
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```bash
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mkdir build-rpc
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cd build-rpc
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cmake .. -DLLAMA_RPC=ON
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cmake .. -DGGML_RPC=ON
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cmake --build . --config Release
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```
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