fix(ci): docker build workflow (abetlen#2156)

* fix(ci): harden docker build workflow

* docs: update changelog for ci workflows

Author: abetlen

.github/workflows/build-docker.yaml

@@ -16,6 +16,15 @@ jobs:
         with:
           submodules: "recursive"
 
+      - name: Set image tag
+        run: |
+          if [[ "${GITHUB_REF_TYPE}" == "tag" ]]; then
+            image_tag="${GITHUB_REF_NAME}"
+          else
+            image_tag="${GITHUB_REF_NAME//\//-}"
+          fi
+          echo "IMAGE_TAG=$image_tag" >> "$GITHUB_ENV"
+
       - name: Set up QEMU
         uses: docker/setup-qemu-action@v3
 
@@ -40,7 +49,7 @@ jobs:
           platforms: linux/amd64,linux/arm64
           tags: |
             ghcr.io/abetlen/llama-cpp-python:latest
-            ghcr.io/abetlen/llama-cpp-python:${{ github.ref_name }}
+            ghcr.io/abetlen/llama-cpp-python:${{ env.IMAGE_TAG }}
           build-args: |
             BUILDKIT_INLINE_CACHE=1
 

CHANGELOG.md

@@ -7,6 +7,10 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## [Unreleased]
 
+- fix(ci): Build Docker images from the checked-out source and sanitize branch tags by @abetlen in #2156
+- fix(ci): Fix the CUDA wheel workflow and keep release tags aligned with the built toolkit by @abetlen in #2155
+- fix(ci): Speed up release wheel builds by moving arm64 off QEMU and parallelizing riscv64 by @abetlen in #2154
+
 ## [0.3.17]
 
 - feat: Update llama.cpp to ggerganov/llama.cpp@49bfddeca18e62fa3d39114a23e9fcbdf8a22388 and sync Python bindings by @abetlen in #2151

docker/simple/Dockerfile

@@ -6,6 +6,7 @@ FROM ${IMAGE}
 
 # Re-declare the ARG after FROM
 ARG IMAGE
+ARG CMAKE_ARGS="-DGGML_NATIVE=off"
 
 # Update and upgrade the existing packages 
 RUN apt-get update && apt-get upgrade -y && apt-get install -y --no-install-recommends \
@@ -26,7 +27,7 @@ RUN python3 -m pip install --upgrade pip
 
 RUN python3 -m pip install --upgrade pip pytest cmake scikit-build setuptools fastapi uvicorn sse-starlette pydantic-settings starlette-context
 
-RUN pip install llama-cpp-python --verbose;
+RUN CMAKE_ARGS="${CMAKE_ARGS}" pip install . --verbose
 
 # Set environment variable for the host
 ENV HOST=0.0.0.0