Hello, i'm not sure what am I missing here but I am trying to compare the inference performance between tvm and simple mxnet resnet-18. I have Autotuned the model and it has some performance increase but it is still slower than the simple Mxnet model. I am getting 76 ms for the tvm auto-tuned model and 9 ms for the simple mxnet model. Can some one please help me?
This is the code for loading auto-tuned model  This is the mxnet code:  I have attached the graph debug output: `Preformatted text` --- [Visit Topic](https://discuss.tvm.ai/t/tvm-is-10x-slower-than-simple-mxnet-model/7154/1) 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/17907a3db6d5c50fb4fa72d4e3b2db8506b98edc93c1373e60ed401f27223c98).