Hi, I had tried tuning the network for tflite model, and I have certain questions:
- The tasks that are being extracted are the operation between the data and corresponding kernels correct?
- In every iteration one task is sent for tuning and the logfile is filled with the config and it’s performance?
- So currently tuning is for intra-layer and in one iteration of the tasks only one task is getting tuned?
- But has anybody tried doing interlayer tuning? I mean scheduling the operations between the layers. This could give more benefit I guess. It might be beneficial in the case where the dimension of data is not too much but there are a number of layers in the network.