HI,I see the code vta/tutorials/autotvm/tune_relay_vta.py and other‘s
discussions on the forum.
usually quantize a model and create auto-tuning task by
**autotvm.task.extract_from_program**
tasks = **autotvm.task.extract_from_program**(mod, params=**params**,
ops=(relay.op.get("nn.conv2d"),),
target=target,
target_host=env.target_host)
The ‘params’ here are from a float model.Why can it create a task used to
quanzited model?
I think ***extract_from_program’s*** parameter(***params***) should be a
quantized params.
But how can we get this ‘params’ easily?
Thanks.
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