I added a new 'mytarget' to target list and add dense strategy registration in 
python/tvm/op/strategy/mytarget.py as below:
```
@dense_strategy.register("mytarget")
def dense_strategy_mytarget(attrs, inputs, out_type, target):
    strategy = _op.OpStrategy()
    strategy.add_implementation(wrap_compute_dense(topi.nn.dense),
                                
wrap_topi_schedule(topi.mytarget.schedule_dense),
                                name="dense.mytarget", 
                                plevel=20)
    return strategy
```

However, when tvm tries to select_implementations() in 
python/tvm/relay/backend/compile_engine.py. It always goes to the generic 
version of dense_strategy defined in python/tvm/op/strategy/generic.py:

```
@override_native_generic_func("dense_strategy")
def dense_strategy(attrs, inputs, out_type, target):
    """dense generic strategy"""
    logger.warning("dense is not optimized for this platform.")
    strategy = _op.OpStrategy()
    strategy.add_implementation(wrap_compute_dense(topi.nn.dense),
                                wrap_topi_schedule(topi.generic.schedule_dense),
                                name="dense.generic")
    return strategy
```

Can anyone give me some hint why my registration doesnt work? Thanks.





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