Have you solved this?
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This is where the problem lies. You need to give the target context by
relay.build with the target argument.
But there is no requirement to do this in TVM for flexibility. In some
tutorials, compute graph is not build by using op strategy but directly using
the wrap function(cfunc&sfunc).
For
Thank you, @hht . It seems my target isn't constructed appropriately. But why
it doesn't complain anything in the run before?
```
File "relay_linearnet.py", line 32, in
print(tvm.target.Target.current(allow_none=False))
File "/work/git_repo/tvm/python/tvm/target/target.py", line 103,
It seems right. Maybe your target is error. Use this to see your current target.
```
print(tvm.target.Target.current(allow_none=False)
```
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We will be working on it based on this RFC:
https://discuss.tvm.ai/t/byoc-runtime-json-runtime-for-byoc/6579
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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_
@a876571186 did you fix the issue? how? thx!
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