some thoughts:
1. I think they should be based on keys. Ideally, we should not think about generic dispatching but collection of strategies that can be applied. For example, if the keys include `[gpu, cuda, tensorcore]`, then it means we can apply all the strategies registered for these three categories. 2. I don't know how would be deal with composite, one way is to decompose into a per target function and then find the strategy. 3. We should still create the gpu context in this case(as the target host is an attribute for the device) --- [Visit Topic](https://discuss.tvm.ai/t/rfc-tvm-target-specification/6844/22) to respond. You are receiving this because you enabled mailing list mode. To unsubscribe from these emails, [click here](https://discuss.tvm.ai/email/unsubscribe/abe3aa5dc94916fb8da9ae7812c6e7b89716496e5688a6d7a69a90ae48dadba6).
