Merge branch 'ollama:main' into main

This commit is contained in:
mraiser
2024-01-27 21:56:11 -05:00
committed by GitHub
25 changed files with 739 additions and 195 deletions

View File

@@ -190,6 +190,7 @@ func (llm *dynExtServer) Predict(ctx context.Context, predict PredictOpts, fn fu
"seed": predict.Options.Seed,
"stop": predict.Options.Stop,
"image_data": imageData,
"cache_prompt": true,
}
if predict.Format == "json" {

View File

@@ -39,6 +39,9 @@ init_vars() {
*)
;;
esac
if [ -z "${CMAKE_CUDA_ARCHITECTURES}" ] ; then
CMAKE_CUDA_ARCHITECTURES="50;52;61;70;75;80"
fi
}
git_module_setup() {
@@ -61,6 +64,17 @@ apply_patches() {
if ! grep ollama ${LLAMACPP_DIR}/examples/server/CMakeLists.txt; then
echo 'include (../../../ext_server/CMakeLists.txt) # ollama' >>${LLAMACPP_DIR}/examples/server/CMakeLists.txt
fi
# apply temporary patches until fix is upstream
for patch in ../patches/*.diff; do
for file in $(grep "^+++ " ${patch} | cut -f2 -d' ' | cut -f2- -d/); do
(cd ${LLAMACPP_DIR}; git checkout ${file})
done
done
for patch in ../patches/*.diff; do
(cd ${LLAMACPP_DIR} && git apply ${patch})
done
# Avoid duplicate main symbols when we link into the cgo binary
sed -e 's/int main(/int __main(/g' <${LLAMACPP_DIR}/examples/server/server.cpp >${LLAMACPP_DIR}/examples/server/server.cpp.tmp &&
mv ${LLAMACPP_DIR}/examples/server/server.cpp.tmp ${LLAMACPP_DIR}/examples/server/server.cpp

View File

@@ -140,7 +140,7 @@ if [ -d "${CUDA_LIB_DIR}" ]; then
if [ -n "${CUDA_MAJOR}" ]; then
CUDA_VARIANT=_v${CUDA_MAJOR}
fi
CMAKE_DEFS="-DLLAMA_CUBLAS=on ${COMMON_CMAKE_DEFS} ${CMAKE_DEFS}"
CMAKE_DEFS="-DLLAMA_CUBLAS=on -DLLAMA_CUDA_FORCE_MMQ=on -DCMAKE_CUDA_ARCHITECTURES=${CMAKE_CUDA_ARCHITECTURES} ${COMMON_CMAKE_DEFS} ${CMAKE_DEFS}"
BUILD_DIR="${LLAMACPP_DIR}/build/linux/${ARCH}/cuda${CUDA_VARIANT}"
EXTRA_LIBS="-L${CUDA_LIB_DIR} -lcudart -lcublas -lcublasLt -lcuda"
build

View File

@@ -25,6 +25,11 @@ function init_vars {
}
$script:GZIP=(get-command -ea 'silentlycontinue' gzip).path
$script:DUMPBIN=(get-command -ea 'silentlycontinue' dumpbin).path
if ($null -eq $env:CMAKE_CUDA_ARCHITECTURES) {
$script:CMAKE_CUDA_ARCHITECTURES="50;52;61;70;75;80"
} else {
$script:CMAKE_CUDA_ARCHITECTURES=$env:CMAKE_CUDA_ARCHITECTURES
}
}
function git_module_setup {
@@ -40,6 +45,29 @@ function apply_patches {
if (!(Select-String -Path "${script:llamacppDir}/examples/server/CMakeLists.txt" -Pattern 'ollama')) {
Add-Content -Path "${script:llamacppDir}/examples/server/CMakeLists.txt" -Value 'include (../../../ext_server/CMakeLists.txt) # ollama'
}
# Apply temporary patches until fix is upstream
$patches = Get-ChildItem "../patches/*.diff"
foreach ($patch in $patches) {
# Extract file paths from the patch file
$filePaths = Get-Content $patch.FullName | Where-Object { $_ -match '^\+\+\+ ' } | ForEach-Object {
$parts = $_ -split ' '
($parts[1] -split '/', 2)[1]
}
# Checkout each file
foreach ($file in $filePaths) {
Set-Location -Path ${script:llamacppDir}
git checkout $file
}
}
# Apply each patch
foreach ($patch in $patches) {
Set-Location -Path ${script:llamacppDir}
git apply $patch.FullName
}
# Avoid duplicate main symbols when we link into the cgo binary
$content = Get-Content -Path "${script:llamacppDir}/examples/server/server.cpp"
$content = $content -replace 'int main\(', 'int __main('
@@ -128,7 +156,7 @@ if ($null -ne $script:CUDA_LIB_DIR) {
}
init_vars
$script:buildDir="${script:llamacppDir}/build/windows/${script:ARCH}/cuda$script:CUDA_VARIANT"
$script:cmakeDefs += @("-DLLAMA_CUBLAS=ON", "-DLLAMA_AVX=on")
$script:cmakeDefs += @("-DLLAMA_CUBLAS=ON", "-DLLAMA_AVX=on", "-DCMAKE_CUDA_ARCHITECTURES=${script:CMAKE_CUDA_ARCHITECTURES}")
build
install
cp "${script:CUDA_LIB_DIR}/cudart64_*.dll" "${script:buildDir}/lib"

View File

@@ -69,12 +69,65 @@ type tensor struct {
name string
kind uint32
offset uint64
size uint64
// shape is the number of elements in each dimension
shape [4]uint64
}
func (t tensor) blockSize() uint64 {
switch {
case t.kind < 2:
return 1
case t.kind < 10:
return 32
default:
return 256
}
}
func (t tensor) typeSize() uint64 {
blockSize := t.blockSize()
switch t.kind {
case 0: // FP32
return 4
case 1: // FP16
return 2
case 2: // Q4_0
return 2 + blockSize/2
case 3: // Q4_1
return 2 + 2 + blockSize/2
case 6: // Q5_0
return 2 + 4 + blockSize/2
case 7: // Q5_1
return 2 + 2 + 4 + blockSize/2
case 8: // Q8_0
return 2 + blockSize
case 9: // Q8_1
return 4 + 4 + blockSize
case 10: // Q2_K
return blockSize/16 + blockSize/4 + 2 + 2
case 11: // Q3_K
return blockSize/8 + blockSize/4 + 12 + 2
case 12: // Q4_K
return 2 + 2 + 12 + blockSize/2
case 13: // Q5_K
return 2 + 2 + 12 + blockSize/8 + blockSize/2
case 14: // Q6_K
return blockSize/2 + blockSize/4 + blockSize/16 + 2
default:
return 0
}
}
func (t tensor) parameters() uint64 {
return t.shape[0] * t.shape[1] * t.shape[2] * t.shape[3]
}
func (t tensor) size() uint64 {
return t.parameters() * t.typeSize() / t.blockSize()
}
type ggufModel struct {
*containerGGUF
@@ -201,61 +254,15 @@ func (llm *ggufModel) Decode(rso *readSeekOffset) error {
shape[i] = llm.readU64(rso)
}
kind := llm.readU32(rso)
offset := llm.readU64(rso)
var blockSize uint64
switch {
case kind < 2:
blockSize = 1
case kind < 10:
blockSize = 32
default:
blockSize = 256
}
var typeSize uint64
switch kind {
case 0: // FP32
typeSize = 4
case 1: // FP16
typeSize = 2
case 2: // Q4_0
typeSize = 2 + blockSize/2
case 3: // Q4_1
typeSize = 2 + 2 + blockSize/2
case 6: // Q5_0
typeSize = 2 + 4 + blockSize/2
case 7: // Q5_1
typeSize = 2 + 2 + 4 + blockSize/2
case 8: // Q8_0
typeSize = 2 + blockSize
case 9: // Q8_1
typeSize = 4 + 4 + blockSize
case 10: // Q2_K
typeSize = blockSize/16 + blockSize/4 + 2 + 2
case 11: // Q3_K
typeSize = blockSize/8 + blockSize/4 + 12 + 2
case 12: // Q4_K
typeSize = 2 + 2 + 12 + blockSize/2
case 13: // Q5_K
typeSize = 2 + 2 + 12 + blockSize/8 + blockSize/2
case 14: // Q6_K
typeSize = blockSize/2 + blockSize/4 + blockSize/16 + 2
}
parameters := shape[0] * shape[1] * shape[2] * shape[3]
size := parameters * typeSize / blockSize
llm.tensors = append(llm.tensors, tensor{
tensor := tensor{
name: name,
kind: kind,
offset: offset,
size: size,
kind: llm.readU32(rso),
offset: llm.readU64(rso),
shape: shape,
})
}
llm.parameters += parameters
llm.tensors = append(llm.tensors, tensor)
llm.parameters += tensor.parameters()
}
alignment, ok := llm.kv["general.alignment"].(uint32)
@@ -265,7 +272,7 @@ func (llm *ggufModel) Decode(rso *readSeekOffset) error {
rso.Seek(int64(alignment)-rso.offset%int64(alignment), io.SeekCurrent)
for _, tensor := range llm.tensors {
padded := (int64(tensor.size) + int64(alignment) - 1) & ^(int64(alignment) - 1)
padded := (int64(tensor.size()) + int64(alignment) - 1) & ^(int64(alignment) - 1)
rso.Seek(padded, io.SeekCurrent)
}

30
llm/patches/01-cache.diff Normal file
View File

@@ -0,0 +1,30 @@
diff --git a/examples/server/server.cpp b/examples/server/server.cpp
index 0462fbd2..4fa7b57f 100644
--- a/examples/server/server.cpp
+++ b/examples/server/server.cpp
@@ -1857,12 +1857,6 @@ struct llama_server_context
LOG_TEE("slot %d : in cache: %i tokens | to process: %i tokens\n", slot.id, slot.n_past, slot.num_prompt_tokens_processed);
}
- LOG_TEE("slot %d : kv cache rm - [%d, end)\n", slot.id, (int) system_tokens.size() + slot.n_past);
-
- llama_kv_cache_seq_rm(ctx, slot.id, system_tokens.size() + slot.n_past, -1);
-
- slot.cache_tokens = prompt_tokens;
-
if (slot.n_past == slot.num_prompt_tokens && slot.n_past > 0)
{
// we have to evaluate at least 1 token to generate logits.
@@ -1870,6 +1864,12 @@ struct llama_server_context
slot.n_past--;
}
+ LOG_TEE("slot %d : kv cache rm - [%d, end)\n", slot.id, (int) system_tokens.size() + slot.n_past);
+
+ llama_kv_cache_seq_rm(ctx, slot.id, system_tokens.size() + slot.n_past, -1);
+
+ slot.cache_tokens = prompt_tokens;
+
LOG_VERBOSE("prompt ingested", {
{"n_past", slot.n_past},
{"cached", tokens_to_str(ctx, slot.cache_tokens.cbegin(), slot.cache_tokens.cbegin() + slot.n_past)},