gpt_oss_disagg.sh 2.03 KB
Newer Older
1
#!/bin/bash
2
# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
3
4
# SPDX-License-Identifier: Apache-2.0

5
6
7
8
9
10
set -e
trap 'echo Cleaning up...; kill 0' EXIT

SCRIPT_DIR="$(dirname "$(readlink -f "$0")")"
source "$SCRIPT_DIR/../../../common/launch_utils.sh"

11
# Environment variables with defaults
12
export DYNAMO_HOME=${DYNAMO_HOME:-"/workspace"}
13
export MODEL_PATH=${MODEL_PATH:-"/model"}
14
export SERVED_MODEL_NAME=${SERVED_MODEL_NAME:-"openai/gpt-oss-120b"}
15
16
export PREFILL_ENGINE_ARGS=${PREFILL_ENGINE_ARGS:-"$DYNAMO_HOME/examples/backends/trtllm/engine_configs/gpt-oss-120b/prefill.yaml"}
export DECODE_ENGINE_ARGS=${DECODE_ENGINE_ARGS:-"$DYNAMO_HOME/examples/backends/trtllm/engine_configs/gpt-oss-120b/decode.yaml"}
17

18
19
20
HTTP_PORT="${DYN_HTTP_PORT:-8000}"
print_launch_banner "Launching Disaggregated Serving (8 GPUs)" "$SERVED_MODEL_NAME" "$HTTP_PORT"

21
# run frontend
22
23
# dynamo.frontend accepts either --http-port flag or DYN_HTTP_PORT env var (defaults to 8000)
python3 -m dynamo.frontend --router-mode round-robin &
24
25
26
27
28
29
30

# With tensor_parallel_size=4, each worker needs 4 GPUs
# run prefill worker
CUDA_VISIBLE_DEVICES=0,1,2,3 python3 -m dynamo.trtllm \
  --model-path "$MODEL_PATH" \
  --served-model-name "$SERVED_MODEL_NAME" \
  --extra-engine-args "$PREFILL_ENGINE_ARGS" \
31
32
  --dyn-reasoning-parser gpt_oss \
  --dyn-tool-call-parser harmony \
33
34
35
36
37
38
39
40
41
42
43
44
  --disaggregation-mode prefill \
  --max-num-tokens 20000 \
  --max-batch-size 32 \
  --free-gpu-memory-fraction 0.9 \
  --tensor-parallel-size 4 \
  --expert-parallel-size 4 &

# run decode worker
CUDA_VISIBLE_DEVICES=4,5,6,7 python3 -m dynamo.trtllm \
  --model-path "$MODEL_PATH" \
  --served-model-name "$SERVED_MODEL_NAME" \
  --extra-engine-args "$DECODE_ENGINE_ARGS" \
45
46
  --dyn-reasoning-parser gpt_oss \
  --dyn-tool-call-parser harmony \
47
48
49
50
  --disaggregation-mode decode \
  --max-num-tokens 16384 \
  --free-gpu-memory-fraction 0.9 \
  --tensor-parallel-size 4 \
51
52
53
54
  --expert-parallel-size 4 &

# Exit on first worker failure; kill 0 in the EXIT trap tears down the rest
wait_any_exit