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e58410fa99
* feat(aio): add intel profile * docs: clarify AIO images features
116 lines
4.5 KiB
Bash
Executable File
116 lines
4.5 KiB
Bash
Executable File
#!/bin/bash
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echo "===> LocalAI All-in-One (AIO) container starting..."
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GPU_ACCELERATION=false
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GPU_VENDOR=""
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function detect_gpu() {
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case "$(uname -s)" in
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Linux)
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if lspci | grep -E 'VGA|3D' | grep -iq nvidia; then
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echo "NVIDIA GPU detected"
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# nvidia-smi should be installed in the container
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if nvidia-smi; then
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GPU_ACCELERATION=true
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GPU_VENDOR=nvidia
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else
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echo "NVIDIA GPU detected, but nvidia-smi is not installed. GPU acceleration will not be available."
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fi
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elif lspci | grep -E 'VGA|3D' | grep -iq amd; then
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echo "AMD GPU detected"
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# Check if ROCm is installed
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if [ -d /opt/rocm ]; then
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GPU_ACCELERATION=true
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GPU_VENDOR=amd
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else
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echo "AMD GPU detected, but ROCm is not installed. GPU acceleration will not be available."
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fi
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elif lspci | grep -E 'VGA|3D' | grep -iq intel; then
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echo "Intel GPU detected"
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if [ -d /opt/intel ]; then
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GPU_ACCELERATION=true
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GPU_VENDOR=intel
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else
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echo "Intel GPU detected, but Intel GPU drivers are not installed. GPU acceleration will not be available."
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fi
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elif lspci | grep -E 'VGA|3D' | grep -iq "Microsoft Corporation Device 008e"; then
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# We make the assumption this WSL2 cars is NVIDIA, then check for nvidia-smi
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# Make sure the container was run with `--gpus all` as the only required parameter
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echo "NVIDIA GPU detected via WSL2"
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# nvidia-smi should be installed in the container
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if nvidia-smi; then
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GPU_ACCELERATION=true
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GPU_VENDOR=nvidia
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else
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echo "NVIDIA GPU detected via WSL2, but nvidia-smi is not installed. GPU acceleration will not be available."
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fi
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fi
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;;
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Darwin)
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if system_profiler SPDisplaysDataType | grep -iq 'Metal'; then
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echo "Apple Metal supported GPU detected"
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GPU_ACCELERATION=true
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GPU_VENDOR=apple
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fi
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;;
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esac
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}
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function detect_gpu_size() {
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# Attempting to find GPU memory size for NVIDIA GPUs
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if [ "$GPU_ACCELERATION" = true ] && [ "$GPU_VENDOR" = "nvidia" ]; then
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echo "NVIDIA GPU detected. Attempting to find memory size..."
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# Using head -n 1 to get the total memory of the 1st NVIDIA GPU detected.
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# If handling multiple GPUs is required in the future, this is the place to do it
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nvidia_sm=$(nvidia-smi --query-gpu=memory.total --format=csv,noheader,nounits | head -n 1)
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if [ ! -z "$nvidia_sm" ]; then
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echo "Total GPU Memory: $nvidia_sm MiB"
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# if bigger than 8GB, use 16GB
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#if [ "$nvidia_sm" -gt 8192 ]; then
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# GPU_SIZE=gpu-16g
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#else
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GPU_SIZE=gpu-8g
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#fi
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else
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echo "Unable to determine NVIDIA GPU memory size. Falling back to CPU."
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GPU_SIZE=gpu-8g
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fi
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elif [ "$GPU_ACCELERATION" = true ] && [ "$GPU_VENDOR" = "intel" ]; then
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GPU_SIZE=intel
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# Default to a generic GPU size until we implement GPU size detection for non NVIDIA GPUs
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elif [ "$GPU_ACCELERATION" = true ]; then
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echo "Non-NVIDIA GPU detected. Specific GPU memory size detection is not implemented."
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GPU_SIZE=gpu-8g
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# default to cpu if GPU_SIZE is not set
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else
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echo "GPU acceleration is not enabled or supported. Defaulting to CPU."
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GPU_SIZE=cpu
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fi
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}
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function check_vars() {
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if [ -z "$MODELS" ]; then
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echo "MODELS environment variable is not set. Please set it to a comma-separated list of model YAML files to load."
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exit 1
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fi
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if [ -z "$SIZE" ]; then
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echo "SIZE environment variable is not set. Please set it to one of the following: cpu, gpu-8g, gpu-16g, apple"
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exit 1
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fi
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}
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detect_gpu
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detect_gpu_size
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SIZE="${SIZE:-$GPU_SIZE}" # default to cpu
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export MODELS="${MODELS:-/aio/${SIZE}/embeddings.yaml,/aio/${SIZE}/text-to-speech.yaml,/aio/${SIZE}/image-gen.yaml,/aio/${SIZE}/text-to-text.yaml,/aio/${SIZE}/speech-to-text.yaml,/aio/${SIZE}/vision.yaml}"
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check_vars
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echo "Starting LocalAI with the following models: $MODELS"
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/build/entrypoint.sh "$@"
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