Thank you for the help. Here's what I've learned and found issues.
* This is what I tried inside the my custom tuner.
cfg = FallbackConfigEntity()
func_name = self.task.name // conv2d_nchw_winograd.cuda
ref_log = autotvm.tophub.load_referernce_log( target.target_name,
'1080ti', func_name)
print(cfg) // Returns 'None'
* Automatic device model selection in line 229 did not work for my case: when
selecting alternative model, current code does not check whether it contains
data for the workload and pick the wrong model. So, currently, I picked the
valid model manually.
https://github.com/apache/incubator-tvm/blob/master/python/tvm/autotvm/tophub.py#L229
* Is there any reason for *FallbackConfigEntity* to inherit *ConfigSpace*, not
the *ConfigEntity*? In my code, *cfg.fallback_with_reference_log* updates *cfg*
with reference configuration but since it is not a *ConfigEntity* object,
tuner cannot handle this object. For example, *index* field does not exist with
*FallbackConfigEntity* although it loads the best knobs from the reference.
When I pass this object to the tuner, it complains the runtime error with
error_no=4.
https://github.com/apache/incubator-tvm/blob/master/python/tvm/autotvm/task/space.py#L954
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