a4e38b9e33
Move all experiments under hardware-specific folders: - experiments/h200/ : H200 GPU experiments (15 dirs) - experiments/h20/ : H20 GPU experiments (2 dirs) - experiments/p800/ : Kunlun P800 experiments (3 dirs) - experiments/pro6000/ : RTX 6000D experiments (2 dirs) This improves discoverability and keeps hardware-specific configs isolated from each other.
49 lines
1.6 KiB
Bash
49 lines
1.6 KiB
Bash
# Configuration for the vLLM-dspark vs vLLM-default comparison on H200.
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# All values can be overridden via environment variables.
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EXPERIMENT="dsv4_h200_vllm_dspark_vs_default"
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# The dspark variant uses a separate checkpoint and the vllm-dspark env.
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DSPARK_MODEL_NAME="DeepSeek-V4-Flash-DSpark"
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DSPARK_MODEL_PATH="/data/models/DeepSeek-V4-Flash-DSpark"
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# The default variant uses the standard checkpoint and the plain vllm env.
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DEFAULT_MODEL_NAME="DeepSeek-V4-Flash"
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DEFAULT_MODEL_PATH="/data/models/DeepSeek-V4-Flash"
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SERVED_MODEL_NAME="deepseek-v4-flash"
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# Different ports so the two backends can be tested independently.
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DSPARK_PORT="${DSPARK_PORT:-30007}"
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DEFAULT_PORT="${DEFAULT_PORT:-30008}"
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# Virtual environments.
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VENV_VLLM_DSPARK="${VENV_VLLM_DSPARK:-/data/user1/yy/envs/vllm-dspark}"
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VENV_VLLM="${VENV_VLLM:-/data/user1/yy/envs/vllm}"
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# Benchmark client always runs from the sglang env for consistency.
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VENV_CLIENT="${VENV_CLIENT:-/data/user1/yy/envs/sglang}"
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# Hardware: use all 8 H200 cards for both backends.
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export CUDA_VISIBLE_DEVICES="0,1,2,3,4,5,6,7"
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TP=8
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# Scenarios focused on TTFT: low/high concurrency x short/medium input.
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# Each element: "concurrency input_len output_len num_prompts"
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# Following docs/EXPERIMENT_GUIDE.md: num_prompts = concurrency * 5.
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if [[ -z "${SCENARIOS:-}" ]]; then
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declare -a SCENARIOS=(
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"1 512 256 5"
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"32 512 256 160"
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"128 512 256 640"
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"1 4000 512 5"
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"32 4000 512 160"
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)
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fi
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MAX_MODEL_LEN=32768
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MAX_NUM_SEQS=256
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# Server start scripts bundled with this experiment.
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DSPARK_START_SCRIPT="${SCRIPT_DIR:-.}/start_dspark.sh"
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DEFAULT_START_SCRIPT="${SCRIPT_DIR:-.}/start_default.sh"
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