This commit is contained in:
Aaron Po
2026-05-04 15:44:32 -04:00
parent b05000c6fb
commit 6eaa184eaa
9 changed files with 62 additions and 122 deletions

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@@ -26,15 +26,10 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
RUN curl -L https://github.com/Kitware/CMake/releases/download/v3.31.0/cmake-3.31.0-linux-x86_64.sh -o cmake.sh && \
sh cmake.sh --skip-license --prefix=/usr/local && rm cmake.sh
# Copy and link backends
# Copy backends to /usr/local/lib and register with ldconfig so the
# runtime linker can resolve libllama.so, libggml.so, libggml-base.so etc.
COPY --from=llama-bin /app/lib*.so* /usr/local/lib/
RUN ldconfig && \
find /usr/local/lib -name "libggml-cuda.so*" -exec ln -s {} /usr/local/lib/libggml-cuda.so \; 2>/dev/null || true && \
find /usr/local/lib -name "libggml-cpu.so*" -exec ln -s {} /usr/local/lib/libggml-cpu.so \; 2>/dev/null || true
# Set Environment for the loader
ENV GGML_BACKEND_PATH="/usr/local/lib"
ENV LD_LIBRARY_PATH="/usr/local/lib:$LD_LIBRARY_PATH"
RUN ldconfig
# Headers for C++ Build
RUN git clone --depth 1 -b b9012 https://github.com/ggml-org/llama.cpp.git /tmp/llama-src && \
@@ -42,6 +37,8 @@ RUN git clone --depth 1 -b b9012 https://github.com/ggml-org/llama.cpp.git /tmp/
cp -r /tmp/llama-src/ggml/include/* /usr/local/include/ && \
rm -rf /tmp/llama-src
ENV LD_LIBRARY_PATH="/usr/local/lib:${LD_LIBRARY_PATH}"
WORKDIR /workspace/app
COPY . .
@@ -49,6 +46,17 @@ COPY . .
RUN cmake -S . -B build -G Ninja -DCMAKE_BUILD_TYPE=Release && \
cmake --build build -j$(nproc)
# Co-locate GGML backend plugins with the executable.
# ggml_backend_load_all() searches the executable directory first when
# GGML_BACKEND_DIR is not set. Copying the ggml-*.so plugin files here
# ensures the loader finds them without any environment variable.
# libllama.so, libggml.so, and libggml-base.so are NOT copied here —
# those are proper shared libraries resolved via ldconfig/LD_LIBRARY_PATH.
RUN cp /usr/local/lib/libggml-cuda.so /workspace/app/build/ 2>/dev/null || true && \
cp /usr/local/lib/libggml-cpu*.so /workspace/app/build/ 2>/dev/null || true && \
cp /usr/local/lib/libggml-blas*.so /workspace/app/build/ 2>/dev/null || true && \
cp /usr/local/lib/libggml-rpc*.so /workspace/app/build/ 2>/dev/null || true
# Setup Start Script
COPY runpod/start.sh /usr/local/bin/biergarten-start
RUN chmod +x /usr/local/bin/biergarten-start

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@@ -1,66 +1,8 @@
# RunPod Pod Template for Biergarten Pipeline
This folder contains a starter RunPod pod template for the C++ pipeline in the
repository root.
## What it does
- Builds `biergarten-pipeline` inside the container.
- Builds the binary on first pod start, then reuses a mode-specific build
directory (`build-mocked/` or `build-live/`).
- Runs from the repository root and lets the launcher switch into the active
build directory after CMake has copied `locations.json` and `prompts/`.
- Supports two runtime modes:
- `BIERGARTEN_MODE=mocked` — fast deterministic generation, no model required.
- `BIERGARTEN_MODE=live` — uses a mounted GGUF model and the prompt files.
- Writes generated SQLite exports and logs to writable volumes.
## Files
- `Dockerfile` — GPU-ready build image for the application.
- `start.sh` — runtime launcher that selects mocked or live mode.
- `pod-template.yaml` — starter pod template you can adapt to the exact RunPod
import/export schema.
## Build the image
```bash
docker build -t biergarten-pipeline:latest -f runpod/Dockerfile .
touch runpod/start.sh
docker build \
--progress=plain \
-t biergarten-pipeline:latest \
-f runpod/Dockerfile \
. 2>&1 | tee build.log
```
## Run locally in mocked mode
```bash
docker run --rm \
--gpus all \
-e BIERGARTEN_MODE=mocked \
-v "$PWD/output:/workspace/output" \
-v "$PWD/logs:/workspace/logs" \
biergarten-pipeline:latest
```
## Run locally in live mode
Mount your GGUF model at `/workspace/models/google_gemma-4-E4B-it-Q6_K.gguf`
and switch to `BIERGARTEN_MODE=live`.
```bash
docker run --rm \
--gpus all \
-e BIERGARTEN_MODE=live \
-v "$PWD/models:/workspace/models" \
-v "$PWD/output:/workspace/output" \
-v "$PWD/logs:/workspace/logs" \
biergarten-pipeline:latest
```
## Notes for RunPod
- Use a GPU pod for live inference.
- Mount persistent storage for `/workspace/models`, `/workspace/output`, and
`/workspace/logs`.
- If you only want deterministic seed generation, change the template's
`BIERGARTEN_MODE` to `mocked`.
- The launcher handles the build directory automatically; CMake still copies
`locations.json` and `prompts/` into the active build tree before execution.

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@@ -1,24 +1,15 @@
# Biergarten Pipeline — RunPod pod template
#
# This template is meant to be imported into RunPod or adapted to the exact
# schema used by your account/export format. It intentionally keeps the runtime
# contract simple:
# - the container boots into /workspace/app/build
# - prompts are available from build/prompts
# - generated SQLite exports and logs go to writable volumes
# - mocked mode works without a model file
# - live mode can be enabled by setting BIERGARTEN_MODE=live and mounting a GGUF model
name: biergarten-pipeline-live
image: biergarten-pipeline:latest
workingDir: /workspace/app
entrypoint:
imageName: biergarten-pipeline:latest
category: NVIDIA
containerDiskInGb: 50
volumeInGb: 50
volumeMountPath: /workspace
dockerEntrypoint:
- /usr/local/bin/biergarten-start
resources:
gpu: 1
containerDiskInGb: 50
volumeInGb: 50
environment:
dockerStartCmd: []
isPublic: false
isServerless: false
env:
BIERGARTEN_MODE: live
BIERGARTEN_MODEL_PATH: /workspace/models/google_gemma-4-E4B-it-Q6_K.gguf
BIERGARTEN_PROMPT_DIR: /workspace/app/build/prompts
@@ -29,11 +20,3 @@ environment:
BIERGARTEN_TOP_K: "64"
BIERGARTEN_N_CTX: "8192"
BIERGARTEN_SEED: "-1"
volumes:
- name: models
mountPath: /workspace/models
- name: output
mountPath: /workspace/output
- name: logs
mountPath: /workspace/logs

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@@ -10,44 +10,40 @@ PROMPT_DIR="/workspace/app/build/prompts"
echo "--- Starting Biergarten Pipeline Environment Check ---"
# 1. Ensure Volume Mounts exist
# 1. Ensure volume mount directories exist
mkdir -p "$OUTPUT_DIR"
mkdir -p "$(dirname "$LOG_PATH")"
# 2. Check for Model
# 2. Check for model file
if [ ! -f "$MODEL_PATH" ]; then
echo "ERROR: Model not found at $MODEL_PATH"
echo "Current /workspace/models contents:"
ls -lh /workspace/models
ls -lh /workspace/models 2>/dev/null || echo "(directory does not exist)"
exit 1
fi
# 3. Check for Backends (Diagnostic)
echo "Loading backends from: $GGML_BACKEND_PATH"
ls -l /usr/local/lib/libggml*
# 4. Build the command arguments
# 3. Build the command arguments
ARGS=(
"--model" "$MODEL_PATH"
"--model" "$MODEL_PATH"
"--prompt-dir" "$PROMPT_DIR"
"--output" "$OUTPUT_DIR"
"--log-path" "$LOG_PATH"
"--output" "$OUTPUT_DIR"
"--log-path" "$LOG_PATH"
)
# Optional Hyperparameters
[[ -n "$BIERGARTEN_TEMPERATURE" ]] && ARGS+=("--temperature" "$BIERGARTEN_TEMPERATURE")
[[ -n "$BIERGARTEN_TOP_P" ]] && ARGS+=("--top-p" "$BIERGARTEN_TOP_P")
[[ -n "$BIERGARTEN_TOP_K" ]] && ARGS+=("--top-k" "$BIERGARTEN_TOP_K")
[[ -n "$BIERGARTEN_N_CTX" ]] && ARGS+=("--n-ctx" "$BIERGARTEN_N_CTX")
[[ -n "$BIERGARTEN_SEED" ]] && ARGS+=("--seed" "$BIERGARTEN_SEED")
# Optional hyperparameters
[[ -n "$BIERGARTEN_TEMPERATURE" ]] && ARGS+=("--temperature" "$BIERGARTEN_TEMPERATURE")
[[ -n "$BIERGARTEN_TOP_P" ]] && ARGS+=("--top-p" "$BIERGARTEN_TOP_P")
[[ -n "$BIERGARTEN_TOP_K" ]] && ARGS+=("--top-k" "$BIERGARTEN_TOP_K")
[[ -n "$BIERGARTEN_N_CTX" ]] && ARGS+=("--n-ctx" "$BIERGARTEN_N_CTX")
[[ -n "$BIERGARTEN_SEED" ]] && ARGS+=("--seed" "$BIERGARTEN_SEED")
[[ -n "$BIERGARTEN_GL_LAYERS" ]] && ARGS+=("--n-gpu-layers" "$BIERGARTEN_GL_LAYERS")
# Append extra custom args
# Append any extra custom args
if [[ -n "$BIERGARTEN_EXTRA_ARGS" ]]; then
ARGS+=($BIERGARTEN_EXTRA_ARGS)
fi
echo "--- Executing: $EXECUTABLE ${ARGS[@]} ---"
echo "--- Executing: $EXECUTABLE ${ARGS[*]} ---"
# Execute the binary directly (replaces shell process)
# Execute the binary directly, replacing the shell process
exec "$EXECUTABLE" "${ARGS[@]}"