I'm not sure what you are asking. Whatever qconfig you quantize your Torch model with, the converted Relay model is equivalent to the quantized Torch model.
But due to the difference in numerics, the raw floating point output between quantized torch models and converted Relay models can be slightly different. That's why there are difference in accuracy shown in https://github.com/apache/incubator-tvm/pull/4977. FYI this is the qconfig I'm using. https://github.com/Edgecortix-Inc/pytorch_quantization/blob/master/tvm_qnn_evaluation/test_util.py#L28-L34 --- [Visit Topic](https://discuss.tvm.ai/t/quantization-pytorch-suitable-pytorch-api-setting-for-relay-quantization/6201/2) to respond. You are receiving this because you enabled mailing list mode. To unsubscribe from these emails, [click here](https://discuss.tvm.ai/email/unsubscribe/32685b8ebe6808ac0eca6a29c6cc590cbed0f08d248469810d1374eb0d45a1ca).
