Tensorflow lite hardware acceleration G2 chip

General Discussion
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#1

Hey everyone,

I’m looking to take advantage of hardware acceleration on my Pixel 7 by using the G2. From what I’ve gathered, it seems like I can utilize the NNAPI for this purpose, and so far, it appears pretty straightforward. However, I’ve run into a bit of a confusion.

In the list of supported hardware for NNAPI, it mentions GPUs, DSPs, and NPUs. Yet, according to Google, the machine learning chip inside the G2 is a TPU. Now, I’m not much of a hardware expert, but I’m wondering if the TPU is a subset of an NPU or if support for it simply hasn’t been implemented yet.

Any insights or clarifications would be greatly appreciated!

Thanks in advance!

#3

Yes, TPU is just the name of Google’s NPU. The NPU landscape is highly fragmented with every chip maker doing their own things, and Google’s way is TPU.

2 Likes
#6

So can you just not do that? Get out of here with you AI generated answer, i will ask chatgpt if I want a LLM model to answer my question.

Making the internet a worse and worse place…