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Hi, I am trying to quantize my own tf-keras model for NNAPI delegate. First the origin tf-keras model size is 5.6MB,and quantized int8-tflite model size is about 1.8M, that is not 4X times. And more i…
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### 🚀 The feature, motivation and pitch
I see current torchchat only support a few kinds of model, like llama based(liked) architecture, or pre-defined Transformer architecture models. Is there any p…
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辛苦看看下面这个报错原因是什么呢？Python版本 3.9.13， 系统版本：windows 10
Traceback (most recent call last):
File "D:\Project\script\MobileAgent-main\Mobile-Agent-v2\run.py", line 286, in
perception_infos, width, h…
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I want to deploy caffe2 on mobile device(including Android & IOS), but i found that the binary size is **too large** for my app. I only use a little operators on my net(convolution and forward calcu…
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In terms of inference graph efficiency, TensorFlow has released a new set of quantization tools designed to improve the performance of eval graphs for mobile. At present, the graph is transformed from…
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Hello,
this issue is to ask for help regarding the transformation/optimization which needs to be done to create a .pb file which is usable on a mobile device using TensorFlow mobile.
After creat…
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We know it will ie work in airplane mode on mobile to upload images and run inference on the classifier, but for how long can you keep it open, are there any functionalities besides example project do…
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## Description
- There is an MXNet nightly benchmark which runs CV and NLP models on MXNet Nightly pip wheel and report the metrics and it showed a performance regression on GPU Memory.
- After bise…
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### The bug
Hello, I was notified today by my phone, that some app was using a lot of mobile data in the background. When I checked, it said that immich had used around 1,5gb of mobile data in the ba…