77 lines
2.6 KiB
Bash
Executable File
77 lines
2.6 KiB
Bash
Executable File
#!/bin/bash
|
|
# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
|
# SPDX-License-Identifier: Apache-2.0
|
|
|
|
# Disaggregated mode on single GPU - for testing only
|
|
# Both prefill and decode workers share the same GPU with reduced memory
|
|
|
|
# Check GPU memory availability
|
|
FREE_GPU_GB=$(python3 -c "import torch; print(torch.cuda.mem_get_info()[0]/1024**3)" 2>/dev/null)
|
|
if [ $? -ne 0 ]; then
|
|
echo "Error: Failed to check GPU memory. Is PyTorch with CUDA available?"
|
|
exit 1
|
|
fi
|
|
|
|
REQUIRED_GB=16
|
|
# Use bash arithmetic instead of bc to avoid external dependency
|
|
FREE_GPU_INT=$(python3 -c "print(int(float('$FREE_GPU_GB')))" 2>/dev/null)
|
|
if [ $? -ne 0 ]; then
|
|
echo "Error: Failed to parse GPU memory value."
|
|
exit 1
|
|
fi
|
|
|
|
if (( FREE_GPU_INT < REQUIRED_GB )); then
|
|
echo "Error: Insufficient GPU memory. Required: ${REQUIRED_GB}GB, Available: ${FREE_GPU_GB}GB"
|
|
echo "Please free up GPU memory before running disaggregated mode on single GPU."
|
|
exit 1
|
|
fi
|
|
|
|
echo "GPU memory check passed: ${FREE_GPU_GB}GB available (required: ${REQUIRED_GB}GB)"
|
|
|
|
# Environment variables with defaults
|
|
export DYNAMO_HOME=${DYNAMO_HOME:-"/workspace"}
|
|
export MODEL_PATH=${MODEL_PATH:-"Qwen/Qwen3-0.6B"}
|
|
export SERVED_MODEL_NAME=${SERVED_MODEL_NAME:-"Qwen/Qwen3-0.6B"}
|
|
export PREFILL_ENGINE_ARGS=${PREFILL_ENGINE_ARGS:-"$DYNAMO_HOME/tests/serve/configs/trtllm/prefill.yaml"}
|
|
export DECODE_ENGINE_ARGS=${DECODE_ENGINE_ARGS:-"$DYNAMO_HOME/tests/serve/configs/trtllm/decode.yaml"}
|
|
export CUDA_VISIBLE_DEVICES=${CUDA_VISIBLE_DEVICES:-"0"}
|
|
export MODALITY=${MODALITY:-"text"}
|
|
|
|
# Setup cleanup trap
|
|
cleanup() {
|
|
echo "Cleaning up background processes..."
|
|
kill $DYNAMO_PID $PREFILL_PID 2>/dev/null || true
|
|
wait $DYNAMO_PID $PREFILL_PID 2>/dev/null || true
|
|
echo "Cleanup complete."
|
|
}
|
|
trap cleanup EXIT INT TERM
|
|
|
|
|
|
# run frontend
|
|
python3 -m dynamo.frontend --http-port 8000 &
|
|
DYNAMO_PID=$!
|
|
|
|
# run prefill worker (shares GPU with decode)
|
|
CUDA_VISIBLE_DEVICES=$CUDA_VISIBLE_DEVICES \
|
|
DYN_SYSTEM_ENABLED=true DYN_SYSTEM_PORT=8081 \
|
|
python3 -m dynamo.trtllm \
|
|
--model-path "$MODEL_PATH" \
|
|
--served-model-name "$SERVED_MODEL_NAME" \
|
|
--extra-engine-args "$PREFILL_ENGINE_ARGS" \
|
|
--modality "$MODALITY" \
|
|
--publish-events-and-metrics \
|
|
--disaggregation-mode prefill &
|
|
PREFILL_PID=$!
|
|
|
|
# run decode worker (shares GPU with prefill)
|
|
CUDA_VISIBLE_DEVICES=$CUDA_VISIBLE_DEVICES \
|
|
DYN_SYSTEM_ENABLED=true DYN_SYSTEM_PORT=8082 \
|
|
python3 -m dynamo.trtllm \
|
|
--model-path "$MODEL_PATH" \
|
|
--served-model-name "$SERVED_MODEL_NAME" \
|
|
--extra-engine-args "$DECODE_ENGINE_ARGS" \
|
|
--modality "$MODALITY" \
|
|
--publish-events-and-metrics \
|
|
--disaggregation-mode decode
|
|
|