Erman Okman
Erman Okman
Could you please give more details about how you generated the 'c' files and which example code you modified?
Hi, What you observe is correct. If you check the `svhn_tinierssd` folder in the MSDK you can see the model has 44 channels at the last for layers (the class...
Hello, QAT is a method to train a model while optimizing the performance of its quantized version. So at QAT, all the model parameters are stored as floating points but...
There are 4 checkpoint files in the log folder. `checkpoint.pth.tar` & `best.pth.tar` are related to the floating point model training. These files are updated until QAT starts (epoch 240 for...
The number of processors are set according to the number of the input channels of the layer. AI85Net5 model is defined [here](https://github.com/analogdevicesinc/ai8x-training/blob/develop/models/ai85net.py) and as you can observe there are 4...
Did you change the model architecture? If the architecture is same, it is expected to measure similar inference durations.
As I understand you check the inference time from the command line outputs, not from the EvKit. I do not think it is about the board update. But please be...
Hi, Could you please share which model you try to evaluate and explain more how you quantize that model.
Hello, Could you please give more details about the steps you followed and the command you run that causes the error. Thanks.