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add resnet_bs64_fp16 for model_benchmark_ci #1572

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Merged
merged 2 commits into from
Jan 17, 2023
Merged

add resnet_bs64_fp16 for model_benchmark_ci #1572

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b170492
add resnet_bs64_fp16 for model_benchmark_ci,test=document_fix
xiegegege Jan 17, 2023
692e8e3
add resnet_bs64_fp16 for model_benchmark_ci,test=document_fix
xiegegege Jan 17, 2023
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2 changes: 1 addition & 1 deletion scripts/benchmark_ci/model_ci.sh
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Expand Up @@ -15,7 +15,7 @@ export FLAGS_call_stack_level=2
#run models
cd ${BENCHMARK_ROOT}/scripts/benchmark_ci
#model_list='ResNet50_bs32_dygraph ResNet50_bs32 bert_base_seqlen128_fp32_bs32 transformer_base_bs4096_amp_fp16 yolov3_bs8 TSM_bs16 deeplabv3_bs4_fp32 CycleGAN_bs1 mask_rcnn_bs1 PPOCR_mobile_2_bs8 seq2seq_bs128'
model_list='ResNet50_bs32_dygraph deeplabv3_bs4_fp32 bert_base_seqlen128_fp32_bs32 yolov3_bs8 ppyolov2_bs6'
model_list='ResNet50_bs32_dygraph ResNet50_bs64_fp16_dygraph deeplabv3_bs4_fp32 bert_base_seqlen128_fp32_bs32 yolov3_bs8 ppyolov2_bs6'
source run_models.sh
for model in ${model_list}
do
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2 changes: 1 addition & 1 deletion scripts/benchmark_ci/run_models.sh
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Expand Up @@ -22,7 +22,7 @@ ResNet50_bs64_fp16_dygraph(){
cur_model_path=${BENCHMARK_ROOT}/PaddleClas
cd ${cur_model_path}
pip install -r requirements.txt
#install dali
# install dali
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist nvidia-dali-cuda110
# Prepare data
ln -s ${data_path}/imagenet100_data/ ${cur_model_path}/dataset
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