Hacker News new | comments | ask | show | jobs | submit login

> You need to create a quantized TensorFlow Lite model and then compile the model for compatibility with the Edge TPU. We will provide a cloud-based compiler tool that accepts your .tflite file and returns a version that's compatible with the Edge TPU.

I seriously hope that's not the only way they're expecting people to compile models for this particular TPU.






As a person with access to their documentation I can confirm that this is currently the only way to compile model for this TPU. Also list of supported network architectures is very very short.

Well this is just begining I am sure they are going to expand its capability.


I'd rather they enable independent development of models on the hardware they're selling. This is about as useful as a high performance electric car you can only charge at authorised dealerships. Dealerships which have the unfortunate habit of closing down after a few years or so.

I bet there is some technical reason behind allowing just few architectures and I hope they will fix it in future releases. Currently you can't even run ResNet type of networks on it.

Well, one can hope.



Applications are open for YC Summer 2019

Guidelines | FAQ | Support | API | Security | Lists | Bookmarklet | Legal | Apply to YC | Contact

Search: