Latency inference score t2 i #3074
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This commit ensures that the same numInferenceSteps default value is used as the one set in https://github.com/livepeer/ai-worker/blob/31fe460a45e1d9e908d3a1bdcfdd8822c3889214/runner/app/routes/text_to_image.py#L28.
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…re calculation (livepeer#3074) * fix(ai): Fix accuracy of T2I latency score when num_inference_steps provided * refactor(ai): update numInferenceSteps default This commit ensures that the same numInferenceSteps default value is used as the one set in https://github.com/livepeer/ai-worker/blob/31fe460a45e1d9e908d3a1bdcfdd8822c3889214/runner/app/routes/text_to_image.py#L28. --------- Co-authored-by: Elite Encoder <john@eliteencoder.net>
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What does this pull request do? Explain your changes. (required)
Updates the formula used to calculate latency score for T2I request so that
num_inference_stepsis included in the measurement.Specific updates (required)
took.Seconds() / float64(outPixels) / (float64(numImages) * float64(numInferenceSteps))How did you test each of these updates (required)
Tested with high-end range values for
num_inference_stepsandnum_images_per_promptDoes this pull request close any open issues?
LIV-362
Checklist:
makeruns successfully./test.shpass