[TVM Discuss] [Development] [DISCUSS] Contributing new docs for InferBound

2019-04-19 Thread Yuan Lin via TVM Discuss
@jdavies-huawei Agree it would be better to have a section dedicated to threads. I just posted an issue/bug to the github https://github.com/dmlc/tvm/issues/3052, resolving which shall help developers understand the concept of threads better. --- [Visit Topic](https://discuss.tvm.ai/t/di

Re: [dmlc/tvm] [Vote] Deprecate Python2 Support (#2994)

2019-04-19 Thread Bing Xu
Closed #2994. -- You are receiving this because you are subscribed to this thread. Reply to this email directly or view it on GitHub: https://github.com/dmlc/tvm/issues/2994#event-2288781186

Re: [dmlc/tvm] [RFC][Relay] Dynamic Dimensions (#3042)

2019-04-19 Thread Junru Shao
Another immature idea is to unify composite types with operator's attributes (but maybe far long-term) -- You are receiving this because you are subscribed to this thread. Reply to this email directly or view it on GitHub: https://github.com/dmlc/tvm/issues/3042#issuecomment-484789903

Re: [dmlc/tvm] [RFC][Relay] Dynamic Dimensions (#3042)

2019-04-19 Thread Junru Shao
This is a great progress towards deploying real-world NLP models. Thanks Jared for proposing this! As far as I could tell, however, in the long term, we probably need more support for more general dependent typing for more data types. I am afraid that we will have to consider composite types in