[TVM Discuss] [Development/RFC] [RFC] Minor (bugfix) Release for v0.6

Here's a list of fixes we applied to v0.6 branch. I will cut a tag this Friday. * Fixed process termination routine in windows #4844 * [Runtime] Fix NDArray SaveDLTensor declaration and implementation signature different #4586 * [NODE][Serialization]fix serialization precision loss in float #45

[TVM Discuss] [Development/RFC] [RFC] Minor (bugfix) Release for v0.6

Thanks for pointing out. I'll remove accordingly. --- [Visit Topic](https://discuss.tvm.ai/t/rfc-minor-bugfix-release-for-v0-6/6716/8) to respond. You are receiving this because you enabled mailing list mode. To unsubscribe from these emails, [click here](https://discuss.tvm.ai/email/un

[TVM Discuss] [Development/RFC] [RFC] Minor (bugfix) Release for v0.6

Here is a list of bug fixes we're going to apply on v0.6 branch, please let me know if I missed anything. * [RELAY] bugfix. #2215 * [Graph Tuner] Fix benchmark layout in graph tuner #3926 * [VTA] Parameterization and bug fix in TensorLoad module #3841 * [VTA] Fix TSIM compile error in Linux (ad

[TVM Discuss] [Development/RFC] [RFC] Minor (bugfix) Release for v0.6

This is a proposal to do a minor (bugfix) release of v0.6, aka v0.6.1. Commits will be cherry-picked to v0.6.1 branch. We follow the standard [Apache release process](https://tvm.apache.org/docs/contribute/release_process.html) I will go through the commits history to get a list of bug fixing

[TVM Discuss] [Development/RFC] [RFC] Improve Pull Requests with respect to bug fixes

This is a good suggestion. If you find any bug fixes missing in our monthly dev report, also feel free to point out, this would help realize the work in our release notes later. --- [Visit Topic](https://discuss.tvm.ai/t/rfc-improve-pull-requests-with-respect-to-bug-fixes/6529/3) to resp

[TVM Discuss] [Development] Whether TVM will support dynamic shapes in the future

I believe @kevinthesun and @haichen are working on that. --- [Visit Topic](https://discuss.tvm.ai/t/whether-tvm-will-support-dynamic-shapes-in-the-future/3700/4) to respond. You are receiving this because you enabled mailing list mode. To unsubscribe from these emails, [click here](http

[TVM Discuss] [Development] [Discussion] Adding a function to Relay module automatically triggers InferType

maybe I'm missing some context. would you mind give an example? --- [Visit Topic](https://discuss.tvm.ai/t/discussion-adding-a-function-to-relay-module-automatically-triggers-infertype/3643/2) to respond. You are receiving this because you enabled mailing list mode. To unsubscribe from t

[TVM Discuss] [RFC] [RFC] Implement "add_to" semantic in TVM

I agree compile techniques can be used to optimize "add". and for long term mxnet can adopt such optimization. but let's focus on how to support current use case. It totally makes sense that, because of the previous reason, we'd like to use option 1, while I'm wondering whether it has any pro

***UNCHECKED*** [TVM Discuss] [Development] Google lasted work: MLIR Primer

polyhedral optimization (or at least the ability to easily apply polyhedral-like analysis) might be attractive for ASICs though, it could help to build a smarter tensorizer. --- [Visit Topic](https://discuss.tvm.ai/t/google-lasted-work-mlir-primer/1721/22) to respond. You are receiving t

[TVM Discuss] [Development] How to debug and print out content of IndexExpr?

`LOG(INFO) << oshape;` ? --- [Visit Topic](https://discuss.tvm.ai/t/how-to-debug-and-print-out-content-of-indexexpr/2039/2) 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/b