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FastDeploy/examples/intel_hpu/benchmark_paddle_hpu_cli.sh
fmiao2372 429dd2b1db [Intel HPU] add example benchmark scripts for hpu (#5304)
* [Intel HPU] add example benchmark scripts for hpu

* Revise the code based on the copilot comments

* update code based on comments

* update ci ops version
2025-12-02 18:00:01 +08:00

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#!/bin/bash
# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# set -x
model="ERNIE-4.5-21B-A3B-Paddle"
model_log_name="ERNIE-4.5-21B-A3B-Paddle"
model_yaml="yaml/eb45-21b-a3b-32k-bf16.yaml"
# model="ERNIE-4.5-300B-A47B-Paddle"
# model_log_name="ERNIE-4.5-300B-A47B-Paddle"
# model_yaml="yaml/eb45-300b-a47b-32k-bf16.yaml"
export SERVER_PORT=8188
export no_proxy=localhost,127.0.0.1,0.0.0.0,10.0.0.0/8,192.168.1.0/24
input_lengths=(1024 2048)
output_lengths=(1024)
batch_sizes=(1 2 4 8 16 32 64 128)
workspace=$(pwd)
cd $workspace
log_home=$workspace/benchmark_fastdeploy_logs/$(TZ='Asia/Shanghai' date '+WW%V')_$(TZ='Asia/Shanghai' date +%F-%H-%M-%S)_${model_log_name}_FixedLen
mkdir -p ${log_home}
for input_length in "${input_lengths[@]}"
do
for output_length in "${output_lengths[@]}"
do
for batch_size in "${batch_sizes[@]}"
do
> log/hpu_model_runner_profile.log
num_prompts=$(( batch_size * 3))
log_name_prefix="benchmarkdata_${model_log_name}_inputlength_${input_length}_outputlength_${output_length}_batchsize_${batch_size}_numprompts_${num_prompts}"
log_name=${log_name_prefix}_$(TZ='Asia/Shanghai' date +%F-%H-%M-%S)
echo "running benchmark with input length ${input_length}, output length ${output_length}, batch size ${batch_size}, log name ${log_name}"
cmd="python ../../benchmarks/benchmark_serving.py \
--backend openai-chat \
--model $model \
--endpoint /v1/chat/completions \
--host 0.0.0.0 \
--port ${SERVER_PORT} \
--dataset-name random \
--random-input-len ${input_length} \
--random-output-len ${output_length} \
--random-range-ratio 0 \
--hyperparameter-path ../../benchmarks/${model_yaml} \
--percentile-metrics ttft,tpot,itl,e2el,s_ttft,s_itl,s_e2el,s_decode,input_len,s_input_len,output_len \
--metric-percentiles 80,95,99,99.9,99.95,99.99 \
--num-prompts ${num_prompts} \
--max-concurrency ${batch_size} \
--ignore-eos"
echo $cmd | tee -a ${log_home}/${log_name}.log
eval $cmd >> ${log_home}/${log_name}.log 2>&1
cp log/hpu_model_runner_profile.log ${log_home}/${log_name}_profile.log
done
done
done