embed libraries using cmake

docs/development.md

@@ -35,5 +35,5 @@ Now you can run `ollama`:
 ## Building on Linux with GPU support
 
 - Install cmake and nvidia-cuda-toolkit
-- run `CUBLAS_PATH=/path/to/libcublas.so CUDART_PATH=/path/to/libcudart.so CUBLASLT_PATH=/path/to/libcublasLt.so go generate ./...`
+- run `go generate ./...`
 - run `go build .`

llm/llama.cpp/generate.go

@@ -6,9 +6,8 @@ package llm
 //go:generate git submodule init
 
 //go:generate git submodule update --force ggml
-//go:generate -command git-apply git -C ggml apply
-//go:generate git-apply ../ggml_patch/0001-add-detokenize-endpoint.patch
-//go:generate git-apply ../ggml_patch/0002-34B-model-support.patch
+//go:generate git -C ggml apply ../patches/0001-add-detokenize-endpoint.patch
+//go:generate git -C ggml apply ../patches/0002-34B-model-support.patch
 //go:generate cmake -S ggml -B ggml/build/cpu -DLLAMA_K_QUANTS=on
 //go:generate cmake --build ggml/build/cpu --target server --config Release
 

llm/llama.cpp/generate_darwin_amd64.go

@@ -3,11 +3,10 @@ package llm
 //go:generate git submodule init
 
 //go:generate git submodule update --force ggml
-//go:generate -command git-apply git -C ggml apply
-//go:generate git-apply ../ggml_patch/0001-add-detokenize-endpoint.patch
-//go:generate git-apply ../ggml_patch/0002-34B-model-support.patch
-//go:generate git-apply ../ggml_patch/0003-metal-fix-synchronization-in-new-matrix-multiplicati.patch
-//go:generate git-apply ../ggml_patch/0004-metal-add-missing-barriers-for-mul-mat-2699.patch
+//go:generate git -C ggml apply ../patches/0001-add-detokenize-endpoint.patch
+//go:generate git -C ggml apply ../patches/0002-34B-model-support.patch
+//go:generate git -C ggml apply ../patches/0003-metal-fix-synchronization-in-new-matrix-multiplicati.patch
+//go:generate git -C ggml apply ../patches/0004-metal-add-missing-barriers-for-mul-mat-2699.patch
 //go:generate cmake -S ggml -B ggml/build/cpu -DLLAMA_ACCELERATE=on -DLLAMA_K_QUANTS=on -DCMAKE_SYSTEM_PROCESSOR=x86_64 -DCMAKE_OSX_ARCHITECTURES=x86_64 -DCMAKE_OSX_DEPLOYMENT_TARGET=11.0
 //go:generate cmake --build ggml/build/cpu --target server --config Release
 

llm/llama.cpp/generate_darwin_arm64.go

@@ -3,11 +3,10 @@ package llm
 //go:generate git submodule init
 
 //go:generate git submodule update --force ggml
-//go:generate -command git-apply git -C ggml apply
-//go:generate git-apply ../ggml_patch/0001-add-detokenize-endpoint.patch
-//go:generate git-apply ../ggml_patch/0002-34B-model-support.patch
-//go:generate git-apply ../ggml_patch/0003-metal-fix-synchronization-in-new-matrix-multiplicati.patch
-//go:generate git-apply ../ggml_patch/0004-metal-add-missing-barriers-for-mul-mat-2699.patch
+//go:generate git -C ggml apply ../patches/0001-add-detokenize-endpoint.patch
+//go:generate git -C ggml apply ../patches/0002-34B-model-support.patch
+//go:generate git -C ggml apply ../patches/0003-metal-fix-synchronization-in-new-matrix-multiplicati.patch
+//go:generate git -C ggml apply ../patches/0004-metal-add-missing-barriers-for-mul-mat-2699.patch
 //go:generate cmake -S ggml -B ggml/build/metal -DLLAMA_METAL=on -DLLAMA_ACCELERATE=on -DLLAMA_K_QUANTS=on -DCMAKE_SYSTEM_PROCESSOR=arm64 -DCMAKE_OSX_ARCHITECTURES=arm64 -DCMAKE_OSX_DEPLOYMENT_TARGET=11.0
 //go:generate cmake --build ggml/build/metal --target server --config Release
 

llm/llama.cpp/generate_linux.go

@@ -3,15 +3,15 @@ package llm
 //go:generate git submodule init
 
 //go:generate git submodule update --force ggml
-//go:generate -command git-apply git -C ggml apply
-//go:generate git-apply ../ggml_patch/0001-add-detokenize-endpoint.patch
-//go:generate git-apply ../ggml_patch/0002-34B-model-support.patch
-//go:generate git-apply ../ggml_patch/0005-ggml-support-CUDA-s-half-type-for-aarch64-1455-2670.patch
-
+//go:generate git -C ggml apply ../patches/0001-add-detokenize-endpoint.patch
+//go:generate git -C ggml apply ../patches/0002-34B-model-support.patch
+//go:generate git -C ggml apply ../patches/0005-ggml-support-CUDA-s-half-type-for-aarch64-1455-2670.patch
+//go:generate git -C ggml apply ../patches/0001-copy-cuda-runtime-libraries.patch
 //go:generate cmake -S ggml -B ggml/build/cpu -DLLAMA_K_QUANTS=on
 //go:generate cmake --build ggml/build/cpu --target server --config Release
 
 //go:generate git submodule update --force gguf
+//go:generate git -C gguf apply ../patches/0001-copy-cuda-runtime-libraries.patch
 //go:generate cmake -S gguf -B gguf/build/cpu -DLLAMA_K_QUANTS=on
 //go:generate cmake --build gguf/build/cpu --target server --config Release
 
@@ -19,10 +19,3 @@ package llm
 //go:generate cmake --build ggml/build/cuda --target server --config Release
 //go:generate cmake -S gguf -B gguf/build/cuda -DLLAMA_CUBLAS=on -DLLAMA_ACCELERATE=on -DLLAMA_K_QUANTS=on
 //go:generate cmake --build gguf/build/cuda --target server --config Release
-
-//go:generate cp --dereference ${CUBLAS_PATH} ggml/build/cuda/bin/libcublas.so.11
-//go:generate cp --dereference ${CUBLAS_PATH} gguf/build/cuda/bin/libcublas.so.11
-//go:generate cp --dereference ${CUDART_PATH} ggml/build/cuda/bin/libcudart.so.11.0
-//go:generate cp --dereference ${CUDART_PATH} gguf/build/cuda/bin/libcudart.so.11.0
-//go:generate cp --dereference ${CUBLASLT_PATH} ggml/build/cuda/bin/libcublasLt.so.11
-//go:generate cp --dereference ${CUBLASLT_PATH} gguf/build/cuda/bin/libcublasLt.so.11

llm/llama.cpp/ggml_patch/0003-metal-add-missing-barriers-for-mul-mat-2699.patch

@@ -1,32 +0,0 @@
-From 8c0ea847ac1460bca534d92266e3471cb31471be Mon Sep 17 00:00:00 2001
-From: Bruce MacDonald <brucewmacdonald@gmail.com>
-Date: Tue, 5 Sep 2023 16:05:08 -0400
-Subject: [PATCH] metal: add missing barriers for mul-mat #2699
-
----
- ggml-metal.metal | 2 ++
- 1 file changed, 2 insertions(+)
-
-diff --git a/ggml-metal.metal b/ggml-metal.metal
-index 3f31252..ce3541f 100644
---- a/ggml-metal.metal
-+++ b/ggml-metal.metal
-@@ -1850,6 +1850,7 @@ kernel void kernel_mul_mm(device const  uchar * src0,
-         //load data and store to threadgroup memory
-         half4x4 temp_a;
-         dequantize_func(x, il, temp_a);
-+        threadgroup_barrier(mem_flags::mem_threadgroup);
-         #pragma unroll(16)
-         for (int i = 0; i < 16; i++) {
-             *(sa + SG_MAT_SIZE * ((tiitg / THREAD_PER_ROW / 8) \
-@@ -1895,6 +1896,7 @@ kernel void kernel_mul_mm(device const  uchar * src0,
-         }
-     } else {
-         // block is smaller than 64x32, we should avoid writing data outside of the matrix
-+        threadgroup_barrier(mem_flags::mem_threadgroup);
-         threadgroup float *temp_str = ((threadgroup float *)shared_memory) \
-                                       + 32 * (sgitg&1) + (16 * (sgitg>>1)) * BLOCK_SIZE_M;
-         for (int i = 0; i < 8; i++) {
--- 
-2.39.2 (Apple Git-143)
-

llm/llama.cpp/patches/0001-copy-cuda-runtime-libraries.patch

@@ -0,0 +1,27 @@
+From 5dd02993e8cc2ce309157736b95bb572f274a3fd Mon Sep 17 00:00:00 2001
+From: Michael Yang <mxyng@pm.me>
+Date: Wed, 20 Sep 2023 14:19:52 -0700
+Subject: [PATCH] copy cuda runtime libraries
+
+---
+ CMakeLists.txt | 4 ++++
+ 1 file changed, 4 insertions(+)
+
+diff --git a/CMakeLists.txt b/CMakeLists.txt
+index 824d9f2..dd24137 100644
+--- a/CMakeLists.txt
++++ b/CMakeLists.txt
+@@ -274,6 +274,10 @@ if (LLAMA_CUBLAS)
+             set(LLAMA_EXTRA_LIBS ${LLAMA_EXTRA_LIBS} CUDA::cudart CUDA::cublas CUDA::cublasLt)
+         endif()
+ 
++        configure_file(${CUDAToolkit_LIBRARY_DIR}/libcudart.so ${CMAKE_RUNTIME_OUTPUT_DIRECTORY}/libcudart.so.${CUDAToolkit_VERSION_MAJOR}.0 COPYONLY)
++        configure_file(${CUDAToolkit_LIBRARY_DIR}/libcublas.so ${CMAKE_RUNTIME_OUTPUT_DIRECTORY}/libcublas.so.${CUDAToolkit_VERSION_MAJOR} COPYONLY)
++        configure_file(${CUDAToolkit_LIBRARY_DIR}/libcublasLt.so ${CMAKE_RUNTIME_OUTPUT_DIRECTORY}/libcublasLt.so.${CUDAToolkit_VERSION_MAJOR} COPYONLY)
++
+     if (NOT DEFINED CMAKE_CUDA_ARCHITECTURES)
+         # 52 == lowest CUDA 12 standard
+         # 60 == f16 CUDA intrinsics
+-- 
+2.42.0
+