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microsoft / onnxruntime

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
https://onnxruntime.ai
MIT License
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MlasTranspose multi-threads support. #22912

Open msy-kato opened 1 day ago

msy-kato commented 1 day ago

Description

MlasTranspose was running single-thread and was not performing well enough on a multi-threaded CPU. Therefore, we modified it to run with multi-thread to improve performance.

The MlasTranspose was previously running in a single-threaded, which resulted in suboptimal performance on multi-threaded CPUs. To address this, we have modified it to utilize multi-threading.

Motivation and Context

We encountered this issue while running the multilingual-e5-large, which was converted to ONNX format and executed on a multi-core CPU (Xeon 6338T). Below are the performance metrics before and after the modification:

INTER_NUM_THREADS INTRA_NUM_THREADS INPUT_LENGTH BATCH_SIZE Duration time[sec]
BEFORE 1 16 512 4 1.24
AFTER 1 16 512 4 1.09

Condition

This change resulted in a performance improvement of approximately 14%(MlasTranspose is x2~3 faster).

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