Hi everyone working on VTA and @thierry,
I am trying to load Pytorch model and see how the VTA instruction is generated. Here is the notebook based on the [tutorial](https://tvm.apache.org/docs/vta/tutorials/frontend/deploy_classification.html#sphx-glr-download-vta-tutorials-frontend-deploy-classification-py) and [this discussion](https://discuss.tvm.apache.org/t/pytorch-quantization-error-during-quantization/7167). - https://gist.github.com/insop/18aaab92d48061c6c0e440be0bd83733 However, at the end I don't see any VTA instruction is running when I tried `sim_stats = simulator.stats()`. ``` Execution statistics: inp_load_nbytes : 0 wgt_load_nbytes : 0 acc_load_nbytes : 0 uop_load_nbytes : 0 out_store_nbytes: 0 gemm_counter : 0 alu_counter : 0 ``` Based on MxNet tutorial mentioned above, I am don't see why there is no VTA instruction is issued ( also enabled `debug_flag_` and don't see debug instruction is printed either). Can anyone help? Thank you, ISS --- [Visit Topic](https://discuss.tvm.apache.org/t/vta-deploy-pretrained-vision-model-from-pytorch-on-vta/8092/1) to respond. You are receiving this because you enabled mailing list mode. To unsubscribe from these emails, [click here](https://discuss.tvm.apache.org/email/unsubscribe/4009c35ebe5e714e2e468725c80c60c99ac9fd1ae9e033df223b6f91c07adf1d).
