Re: [apache/incubator-tvm] [RFC] Improve quantized convolution performance for armv8 architectures (#5754)

2020-06-22 Thread Zhao Wu
Merged #5754 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/apache/incubator-tvm/pull/5754#event-3471174912

Re: [apache/incubator-tvm] [RFC] Improve quantized convolution performance for armv8 architectures (#5754)

2020-06-22 Thread Zhao Wu
Thanks @giuseros @anijain2305 MERGED NOW. -- You are receiving this because you are subscribed to this thread. Reply to this email directly or view it on GitHub: https://github.com/apache/incubator-tvm/pull/5754#issuecomment-647914319

Re: [apache/incubator-tvm] [RFC] Improve quantized convolution performance for armv8 architectures (#5754)

2020-06-22 Thread Zhao Wu
@anijain2305 could you have a look another round? -- You are receiving this because you are subscribed to this thread. Reply to this email directly or view it on GitHub: https://github.com/apache/incubator-tvm/pull/5754#issuecomment-647889871

[TVM Discuss] [Development/RFC] [RFC] Ansor: An Auto-scheduler for TVM (AutoTVM v2.0)

2020-06-22 Thread Xqdan via TVM Discuss
we do support ascend310 op codegen on AKG side, but not in MindSpore for now. --- [Visit Topic](https://discuss.tvm.ai/t/rfc-ansor-an-auto-scheduler-for-tvm-autotvm-v2-0/7005/23) to respond. You are receiving this because you enabled mailing list mode. To unsubscribe from these emails, [

Re: [apache/incubator-tvm] [COMMUNITY] Matthew Brookhart -> Reviewer (#5886)

2020-06-22 Thread Tianqi Chen
Merged #5886 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/apache/incubator-tvm/pull/5886#event-3470551245

[TVM Discuss] [RFC] Canonicalizing AutoTVM Log Format

2020-06-22 Thread Haichen Shen via TVM Discuss
Probably we can canonicalize the target (e.g., a protobuf buffer) instead of a string as well. We can refer the target format to https://discuss.tvm.ai/t/rfc-tvm-target-specification/6844. @tqchen --- [Visit Topic](https://discuss.tvm.ai/t/rfc-canonicalizing-autotvm-log-format/7038/9) to

[TVM Discuss] [RFC] Canonicalizing AutoTVM Log Format

2020-06-22 Thread An Wang via TVM Discuss
My thoughts are that the suggested change to add Python structure shouldn't necessarily depend on what the log format will look like, so I don't think there is a need to wait for the Ansor log format. (I imagine Ansor coders have their hands full, and that they'd prefer to consider polish late

Re: [apache/incubator-tvm] [COMMUNITY] Matthew Brookhart -> Reviewer (#5886)

2020-06-22 Thread Matthew Brookhart
Thanks, @icemelon9 and the community! -- You are receiving this because you are subscribed to this thread. Reply to this email directly or view it on GitHub: https://github.com/apache/incubator-tvm/pull/5886#issuecomment-647736567

[apache/incubator-tvm] [COMMUNITY] Matthew Brookhart -> Reviewer (#5886)

2020-06-22 Thread Haichen Shen
Please join us to welcome @mbrookhart as a new reviewer of the TVM community. He has been actively contributing to non-recursive graph visitor, Relay pattern language and matcher, and ONNX frontend conversions. - [Commits](https://github.com/apache/incubator-tvm/commits?author=mbrookhart) - [Cod

Re: [apache/incubator-tvm] [RFC] Improve quantized convolution performance for armv8 architectures (#5754)

2020-06-22 Thread Animesh Jain
I push an empty commit to retrigger the CI - https://coderwall.com/p/vkdekq/git-commit-allow-empty -- You are receiving this because you are subscribed to this thread. Reply to this email directly or view it on GitHub: https://github.com/apache/incubator-tvm/pull/5754#issuecomment-647622695

Re: [apache/incubator-tvm] [RFC] Improve quantized convolution performance for armv8 architectures (#5754)

2020-06-22 Thread Zhao Wu
> Hi @FrozenGene , @anijain2305 , > Any update on this review? > Also, is there a way to retrigger the tests? Or should I contact someone in > particular? > > Thanks for the CI, maybe you could force trigger it or you could comment it (and contact @jroesch ) and explain the reason? -- You ar

Re: [apache/incubator-tvm] [RFC] Improve quantized convolution performance for armv8 architectures (#5754)

2020-06-22 Thread Giuseppe Rossini
Hi @FrozenGene , @anijain2305 , Any update on this review? Also, is there a way to retrigger the tests? Or should I contact someone in particular? Thanks -- You are receiving this because you are subscribed to this thread. Reply to this email directly or view it on GitHub: https://github.com/a

[TVM Discuss] [Development/RFC] [RFC] Ansor: An Auto-scheduler for TVM (AutoTVM v2.0)

2020-06-22 Thread Chenfan via TVM Discuss
The first PR of Ansor has been submitted at https://github.com/apache/incubator-tvm/pull/5883 --- [Visit Topic](https://discuss.tvm.ai/t/rfc-ansor-an-auto-scheduler-for-tvm-autotvm-v2-0/7005/22) to respond. You are receiving this because you enabled mailing list mode. To unsubscribe fro

[TVM Discuss] [Development/RFC] [Discuss] Running graphs when ops aren't supported

2020-06-22 Thread Thomas V via TVM Discuss
Would a reasonable first step towards this to define a "CustomFunction" relay IR node with the paralleling much of tvm.relay.Function (but subclassing BaseFunc) when it comes to types in and out except that instead of body we have a PackedFunc reference of what is to be called. Best regards