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
![tvmmxnet|606x500](upload://czEbgyHVscIqEx0XV8up3Twa41p.png) 

This is the mxnet code:
![mxnet|557x500](upload://m2GlIHB6OBO4JR7jnvVbSujp9fG.png) 


I have attached the graph debug output:
 
![tvm_debug_output|690x402](upload://kdYdRsSShyhkH7aPqMwJneZNjp.png)`Preformatted
 text`





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