## Difference between the logs for Ansor and AutoTVM
There are two major differences between ansor's log and autotvm's log
1. The workload for Ansor is a subgraph defined by multiple `tvm.compute`,
while the workload for autotvm is a single operator.
To index log quickly, Ansor stores a hash
Thanks for the discussion. Here are my thoughts.
### API Usage
The API for tuning a whole neural network will be the same as autotvm
(extract tasks and tune all of them).
The API for writing templates is still under development. But it will be
similar to autotvm.
### Performance in absolu
# Motivation
The current autotvm requires pre-defined schedule templates. This makes autotvm
only semi-automated: the search is automated, but the search space has to be
manually defined by developers using the schedule templates. This approach has
several drawbacks:
1. The templates are har
@yzhliu You are right. At that time, we thought `AlterOpLayout` does not have
dependency problem and can be done in a single forward pass, so we tried to do
a lot of things in a single pass, which includes operator substitution, layout
inference, and layout-transformation insertion. I agree t
