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D3Net: inference on CPU about ai-research-code HOT 3 CLOSED

sony avatar sony commented on August 11, 2024 2
D3Net: inference on CPU

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Comments (3)

TomonobuTsujikawa avatar TomonobuTsujikawa commented on August 11, 2024 1

In previous script, nnabla and openvino were not separated.
So we prepared script that can be run in openvino only environment.
#30

In my environment, original d3net-mss takes 554m49sec by cpu, but openvino (4cpus) takes 8m53sec.

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TomonobuTsujikawa avatar TomonobuTsujikawa commented on August 11, 2024

Thank you for checking!
Yes, it takes a bit long time. We would like to share how to reduce inference time.
Please give us some time to check and summarize.

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TakuyaNarihira avatar TakuyaNarihira commented on August 11, 2024

We've added an inference script which runs the model on OpenVINO runtime by Intel which should be faster.

See https://github.com/sony/ai-research-code/blob/master/d3net/music-source-separation/README.md#inference-with-openvino or our colab demo to run the OpenVINO model in Python.

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