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remove incbench #2319

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6b3fb2a
remove incbench
xin3he Oct 21, 2025
9ce13a6
remove 2x benchmark
xin3he Oct 22, 2025
2439999
remove document as required
xin3he Oct 23, 2025
a9a4e8d
remove incbench in run_benchmark.sh
xin3he Nov 3, 2025
4a8c8dd
fix bug
xin3he Nov 3, 2025
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61 changes: 0 additions & 61 deletions docs/source/3x/benchmark.md
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60 changes: 0 additions & 60 deletions docs/source/benchmark.md
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2 changes: 1 addition & 1 deletion examples/pytorch/cv/mixed_precision/run_benchmark.sh
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Original file line number Diff line number Diff line change
Expand Up @@ -70,7 +70,7 @@ function run_benchmark {
${mode_cmd} \
${extra_cmd}
elif [[ ${mode} == "performance" ]]; then
incbench --num_c 4 main.py \
python main.py \
--pretrained \
--tuned_checkpoint ${tuned_checkpoint} \
-b ${batch_size} \
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3 changes: 1 addition & 2 deletions examples/pytorch/cv/static_quant/run_benchmark.sh
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Expand Up @@ -85,8 +85,7 @@ function run_benchmark {
${extra_cmd} \
${mode_cmd}
elif [[ ${mode} == "performance" ]]; then
incbench --num_cores_per_instance 4 \
main.py \
python main.py \
--pretrained \
-a resnet18 \
-b ${batch_size} \
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2 changes: 1 addition & 1 deletion ...torch/nlp/huggingface_models/language-modeling/quantization/smooth_quant/run_benchmark.sh
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Expand Up @@ -93,7 +93,7 @@ function run_benchmark {
--batch_size ${batch_size} \
${extra_cmd} ${mode_cmd}
elif [[ ${mode} == "performance" ]]; then
incbench --num_cores_per_instance 4 run_clm_no_trainer.py \
python run_clm_no_trainer.py \
--model ${model_name_or_path} \
--approach ${approach} \
--batch_size ${batch_size} \
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2 changes: 1 addition & 1 deletion .../nlp/huggingface_models/language-modeling/quantization/static_quant/pt2e/run_benchmark.sh
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Expand Up @@ -85,7 +85,7 @@ function run_benchmark {
--batch_size ${batch_size} \
${extra_cmd} ${mode_cmd}
elif [[ ${mode} == "performance" ]]; then
incbench --num_cores_per_instance 4 run_clm_no_trainer.py \
python run_clm_no_trainer.py \
--model ${model_name_or_path} \
--batch_size ${batch_size} \
--output_dir ${tuned_checkpoint} \
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4 changes: 1 addition & 3 deletions ...ytorch/nlp/huggingface_models/language-modeling/quantization/weight_only/run_benchmark.sh
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Expand Up @@ -14,7 +14,6 @@ function init_params {
batch_size=16
tuned_checkpoint=saved_results
task=lambada_openai
incbench_cmd="incbench --num_cores_per_instance 4"
echo ${max_eval_samples}
for var in "$@"
do
Expand Down Expand Up @@ -107,7 +106,6 @@ function run_benchmark {
elif [ "${topology}" = "opt_125m_woq_autoround_int4_hpu" ]; then
model_name_or_path="facebook/opt-125m"
extra_cmd=$extra_cmd" --woq_algo AutoRound"
incbench_cmd="incbench --num_instances 1"
elif [ "${topology}" = "opt_125m_woq_autotune_int4" ]; then
model_name_or_path="facebook/opt-125m"
elif [ "${topology}" = "llama3_1_8b_gptq_int4_hf" ]; then
Expand All @@ -134,7 +132,7 @@ function run_benchmark {
--batch_size ${batch_size} \
${extra_cmd} ${mode_cmd}
elif [[ ${mode} == "performance" ]]; then
${incbench_cmd} run_clm_no_trainer.py \
python run_clm_no_trainer.py \
--model ${model_name_or_path} \
--batch_size ${batch_size} \
--output_dir ${tuned_checkpoint} \
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2 changes: 1 addition & 1 deletion examples/pytorch/recommendation/dlrm/static_quant/ipex/run_benchmark.sh
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Expand Up @@ -80,7 +80,7 @@ function run_tuning {
--save-model ${tuned_checkpoint} --test-freq=2048 --print-auc $ARGS \
--load-model=${input_model} --accuracy_only
elif [[ ${mode} == "performance" ]]; then
incbench --num_cores_per_instance 4 $MODEL_SCRIPT \
python $MODEL_SCRIPT \
--raw-data-file=${dataset_location}/day --processed-data-file=${dataset_location}/terabyte_processed.npz \
--data-set=terabyte --benchmark \
--memory-map --mlperf-bin-loader --round-targets=True --learning-rate=1.0 \
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2 changes: 1 addition & 1 deletion examples/tensorflow/object_detection/yolo_v5/quantization/ptq/run_benchmark.sh
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Expand Up @@ -46,7 +46,7 @@ function run_benchmark {
--batch_size ${batch_size} \
--benchmark
elif [[ ${mode} == "performance" ]]; then
incbench --num_c 4 main.py \
python main.py \
--input_model ${input_model} \
--dataset_location ${dataset_location} \
--mode ${mode} \
Expand Down
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