tensorflow / tensorflow/models
models works on float32 instead of uint8
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models:research:odapi
type:support
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Description
Hi,
I am in the process of my ssd model based on ssd_mobilenet_v2_320x320_coco17_tpu and I noticed the model works on float32 and not uint8 - I am curious how I can make that change ?
Also I appreciate if you point me to other tricks that I can make my model run faster at inference level. for example larger kernel size ? or shallower model ? or some threshold ? I feel these recommendations/explanation can be helpful when it comes to optmization
here is the link to the colab notebook https://drive.google.com/file/d/1iqUgeabbTgfixehGomDoj5eHGfHd8Lvt/view?usp=sharing
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