[TVM Discuss] [Development] TVMError: Check failed: type_code_ == kDLInt (2 vs. 0) : expected int but get float

Ok, fixed it. Due to my WSL env. After I move my code to real ubuntu env, it is ok now. --- [Visit Topic](https://discuss.tvm.ai/t/tvmerror-check-failed-type-code-kdlint-2-vs-0-expected-int-but-get-float/3703/5) to respond. You are receiving this because you enabled mailing list mode. To

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

Can anyone answer that? Thanks very much. --- [Visit Topic](https://discuss.tvm.ai/t/whether-tvm-will-support-dynamic-shapes-in-the-future/3700/2) to respond. You are receiving this because you enabled mailing list mode. To unsubscribe from these emails, [click here](https://discuss.tvm

[TVM Discuss] [Development] Getting started with the VTA Chisel backend

Luis, thanks for pointing it out. --- [Visit Topic](https://discuss.tvm.ai/t/getting-started-with-the-vta-chisel-backend/2987/22) to respond. You are receiving this because you enabled mailing list mode. To unsubscribe from these emails, [click here](https://discuss.tvm.ai/email/unsubsc

Re: [dmlc/tvm] [RFC] AlterOpLayout Pass Refactoring (#3670)

To support CV model in tensorflow/tflite, do we need to add propagate rules for ops to support conversion from "NHWC" to "NCHW"? If so, would ii be easier to add these rules as operator attributes? -- You are receiving this because you are subscribed to this thread. Reply to this email directly

Re: [dmlc/tvm] [RFC] [Contrib] [Runtime] Minimal runtime (~12kb .text on ARMv7/x86) for subset of TVM models (#3567)

ping @ajtulloch -- 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/pull/3567#issuecomment-520491694

[TVM Discuss] [Development] Use block data format for whole model

We do support layout conversion passes, what you talked about is related to AlterOpLayout pass. see related discussions https://discuss.tvm.ai/t/rfc-functionality-of-alteroplayout-and-possible-refactoring/1999 --- [Visit Topic](https://discuss.tvm.ai/t/use-block-data-format-for-whole-mode

Re: [dmlc/tvm] [Community] MarisaKirisame -> Reviewer (#3755)

Merged #3755 into master. -- 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/pull/3755#event-2550678075

Re: [dmlc/tvm] [DEV] TVM v0.6 Roadmap (#2623)

# TVM Monthly - July 2019 https://discuss.tvm.ai/t/tvm-monthly-july-2019 -- 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/2623#issuecomment-520475436

[TVM Discuss] [Development] Getting started with the VTA Chisel backend

Hey, Well, it is been like two months, since I wrote this. All of this is already supported in mainstream TVM branch so no need for any of this. Those test are [here](https://github.com/dmlc/tvm/tree/master/vta/tests/python/integration) --- [Visit Topic](https://discuss.tvm.ai/t/getting-

[TVM Discuss] [Development] Use block data format for whole model

Ok, if I understood this example correctly here is a way to take advantage of NCHWc in case of model already being in this format. What I'm looking for is more universal approach, allowing to convert whole model to NCHWc **and not each operation**. --- [Visit Topic](https://discuss.tvm.a

[TVM Discuss] [Development] Getting started with the VTA Chisel backend

Hi Luis, Both tests in [https://github.com/vegaluisjose/vta-tsim-tests](https://github.com/vegaluisjose/vta-tsim-tests) failed after updating TVM repo, please have a check. Thanks. --- [Visit Topic](https://discuss.tvm.ai/t/getting-started-with-the-vta-chisel-backend/2987/20) to respon