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Posted to commits@tvm.apache.org by GitBox <gi...@apache.org> on 2021/11/01 17:39:23 UTC

[GitHub] [tvm] junrushao1994 opened a new issue #9416: TVM v0.8 Release Note Candidate

junrushao1994 opened a new issue #9416:
URL: https://github.com/apache/tvm/issues/9416


   # Apache TVM v0.8 Release Note
   


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[GitHub] [tvm] jiangjiajun commented on issue #9416: Apache TVM v0.8 Release Note Candidate

Posted by GitBox <gi...@apache.org>.
jiangjiajun commented on issue #9416:
URL: https://github.com/apache/tvm/issues/9416#issuecomment-957048426


   Thanks @junrushao1994 !
   
   There are 2 part I think we may need to fix
   
   For the **Accepted RFCs** part, 
   > `[RFC-0019] Add paddlePaddle frontend` 
   
   it should be `[RFC-0019] Add PaddlePaddle frontend`, just a case problem
   
   And for the **Frontends** part,
   > **PaddlePaddle initial support #8645**
   
   
   I have checked the v0.8 branch, there are 6 pull requests merged, we could list them all like others
   https://github.com/apache/tvm/pull/8645 https://github.com/apache/tvm/pull/9126 https://github.com/apache/tvm/pull/9236 https://github.com/apache/tvm/pull/9283 https://github.com/apache/tvm/pull/9295 https://github.com/apache/tvm/pull/9370


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[GitHub] [tvm] masahi edited a comment on issue #9416: Apache TVM v0.8 Release Note Candidate

Posted by GitBox <gi...@apache.org>.
masahi edited a comment on issue #9416:
URL: https://github.com/apache/tvm/issues/9416#issuecomment-957029338


   Ok replaced with "Improved Vulkan backend" at the overview, and added following, unusually more details in "Codegen Backends and Runtime" to show off our vk capability.
   
    A critical bug fix in SPIRV codegen allows the Vulkan backend to produce correct outputs on more hardwares and drivers. Added support for querying device specific hardware parameters and capabilities, dynamic shapes, irregular ops such as sorting and NMS, UBO, fp16, and vectorization. We can now run complicated models like MaskRCNN on Vulkan end to end.


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[GitHub] [tvm] jiangjiajun commented on issue #9416: Apache TVM v0.8 Release Note Candidate

Posted by GitBox <gi...@apache.org>.
jiangjiajun commented on issue #9416:
URL: https://github.com/apache/tvm/issues/9416#issuecomment-957048426


   Thanks @junrushao1994 !
   
   There are 2 part I think we may need to fix
   
   For the **Accepted RFCs** part, 
   > `[RFC-0019] Add paddlePaddle frontend` 
   
   it should be `[RFC-0019] Add PaddlePaddle frontend`, just a case problem
   
   And for the **Frontends** part,
   > **PaddlePaddle initial support #8645**
   
   
   I have checked the v0.8 branch, there are 6 pull requests merged, we could list them all like others
   https://github.com/apache/tvm/pull/8645 https://github.com/apache/tvm/pull/9126 https://github.com/apache/tvm/pull/9236 https://github.com/apache/tvm/pull/9283 https://github.com/apache/tvm/pull/9295 https://github.com/apache/tvm/pull/9370


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[GitHub] [tvm] junrushao1994 commented on issue #9416: Apache TVM v0.8 Release Note Candidate

Posted by GitBox <gi...@apache.org>.
junrushao1994 commented on issue #9416:
URL: https://github.com/apache/tvm/issues/9416#issuecomment-956868542


   @masahi @Lunderberg Yeah I totally agree! Would you guys suggest more details like "improved vulkan backends on ..."? Thanks a lot!
   


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[GitHub] [tvm] jiangjiajun edited a comment on issue #9416: Apache TVM v0.8 Release Note Candidate

Posted by GitBox <gi...@apache.org>.
jiangjiajun edited a comment on issue #9416:
URL: https://github.com/apache/tvm/issues/9416#issuecomment-960377251


   > > Should we wait for PyTorch TVM PR #8777? It should be merged soon.
   > 
   > @masahi we can wait for it if this PR could get in this week
   
   Does this mean we will update v0.8 branch again this week, I merged a new pull request this week early https://github.com/apache/tvm/pull/9428 ,  will it be in v0.8? 
   I'd love to see this pull request update to v0.8, it will support more operators for PaddlePaddle frontend.


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[GitHub] [tvm] junrushao1994 edited a comment on issue #9416: Apache TVM v0.8 Release Note Candidate

Posted by GitBox <gi...@apache.org>.
junrushao1994 edited a comment on issue #9416:
URL: https://github.com/apache/tvm/issues/9416#issuecomment-978062262


   The release candidate v0.8.rc0 is approved:
   * Voting thread: https://github.com/apache/tvm/issues/9504
   * Voting result: https://github.com/apache/tvm/issues/9566


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[GitHub] [tvm] masahi commented on issue #9416: Apache TVM v0.8 Release Note Candidate

Posted by GitBox <gi...@apache.org>.
masahi commented on issue #9416:
URL: https://github.com/apache/tvm/issues/9416#issuecomment-956555441


   Better to replace "Vulkan backend" at the "major exciting experimental features" section with `Improved Vulkan backend", since the vk backend has been around for a long time by now.


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[GitHub] [tvm] jiangjiajun commented on issue #9416: Apache TVM v0.8 Release Note Candidate

Posted by GitBox <gi...@apache.org>.
jiangjiajun commented on issue #9416:
URL: https://github.com/apache/tvm/issues/9416#issuecomment-960377251


   > > Should we wait for PyTorch TVM PR #8777? It should be merged soon.
   > 
   > @masahi we can wait for it if this PR could get in this week
   
   Does this mean we will update v0.8 branch again this week, I merged a new pull request this week early https://github.com/apache/tvm/pull/9428 ,  will this be in v0.8?


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[GitHub] [tvm] masahi commented on issue #9416: Apache TVM v0.8 Release Note Candidate

Posted by GitBox <gi...@apache.org>.
masahi commented on issue #9416:
URL: https://github.com/apache/tvm/issues/9416#issuecomment-956555441






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[GitHub] [tvm] masahi edited a comment on issue #9416: Apache TVM v0.8 Release Note Candidate

Posted by GitBox <gi...@apache.org>.
masahi edited a comment on issue #9416:
URL: https://github.com/apache/tvm/issues/9416#issuecomment-957029338


   Ok replaced with "Improved Vulkan backend" at the overview, and added following, unusually more details in "Codegen Backends and Runtime" to show off our vk capability.
   
    A critical bug fix in SPIRV codegen allows the Vulkan backend to produce correct outputs on more hardwares and drivers. Added support for querying device specific hardware parameters and capabilities, dynamic shapes, irregular ops such as sorting and NMS, UBO, fp16, and vectorization. We can now run complicated models like MaskRCNN on Vulkan end to end.


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[GitHub] [tvm] junrushao1994 commented on issue #9416: Apache TVM v0.8 Release Note Candidate

Posted by GitBox <gi...@apache.org>.
junrushao1994 commented on issue #9416:
URL: https://github.com/apache/tvm/issues/9416#issuecomment-956868542






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[GitHub] [tvm] junrushao1994 commented on issue #9416: Apache TVM v0.8 Release Note Candidate

Posted by GitBox <gi...@apache.org>.
junrushao1994 commented on issue #9416:
URL: https://github.com/apache/tvm/issues/9416#issuecomment-958010751


   > Should we wait for PyTorch TVM PR #8777? It should be merged soon.
   
   @masahi we can wait for it if this PR could get in this week
   
   


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[GitHub] [tvm] jiangjiajun commented on issue #9416: Apache TVM v0.8 Release Note Candidate

Posted by GitBox <gi...@apache.org>.
jiangjiajun commented on issue #9416:
URL: https://github.com/apache/tvm/issues/9416#issuecomment-957048426


   Thanks @junrushao1994 !
   
   There are 2 part I think we may need to fix
   
   For the **Accepted RFCs** part, 
   > `[RFC-0019] Add paddlePaddle frontend` 
   
   it should be `[RFC-0019] Add PaddlePaddle frontend`, just a case problem
   
   And for the **Frontends** part,
   > **PaddlePaddle initial support #8645**
   
   
   I have checked the v0.8 branch, there are 6 pull requests merged, we could list them all like others
   https://github.com/apache/tvm/pull/8645 https://github.com/apache/tvm/pull/9126 https://github.com/apache/tvm/pull/9236 https://github.com/apache/tvm/pull/9283 https://github.com/apache/tvm/pull/9295 https://github.com/apache/tvm/pull/9370


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[GitHub] [tvm] masahi commented on issue #9416: Apache TVM v0.8 Release Note Candidate

Posted by GitBox <gi...@apache.org>.
masahi commented on issue #9416:
URL: https://github.com/apache/tvm/issues/9416#issuecomment-957030631


   Should we wait for PyTorch TVM PR https://github.com/apache/tvm/pull/8777? It should be merged soon.


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[GitHub] [tvm] junrushao1994 commented on issue #9416: Apache TVM v0.8 Release Note Candidate

Posted by GitBox <gi...@apache.org>.
junrushao1994 commented on issue #9416:
URL: https://github.com/apache/tvm/issues/9416#issuecomment-956868542






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[GitHub] [tvm] masahi commented on issue #9416: Apache TVM v0.8 Release Note Candidate

Posted by GitBox <gi...@apache.org>.
masahi commented on issue #9416:
URL: https://github.com/apache/tvm/issues/9416#issuecomment-956555441






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[GitHub] [tvm] junrushao1994 commented on issue #9416: Apache TVM v0.8 Release Note Candidate

Posted by GitBox <gi...@apache.org>.
junrushao1994 commented on issue #9416:
URL: https://github.com/apache/tvm/issues/9416#issuecomment-960485770






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[GitHub] [tvm] masahi commented on issue #9416: Apache TVM v0.8 Release Note Candidate

Posted by GitBox <gi...@apache.org>.
masahi commented on issue #9416:
URL: https://github.com/apache/tvm/issues/9416#issuecomment-957029338


   Ok replaced with "Improved Vulkan backend" at the overview, and added unusually more details in "Codegen Backends and Runtime" to show off our vk capability.
   
    A critical bug fix in SPIRV codegen allows the Vulkan backend to produce correct outputs on more hardwares and drivers. Added support for querying device specific hardware parameters and capabilities, dynamic shapes, irregular ops such as sorting and NMS, UBO, fp16, and vectorization. We can now run complicated models like MaskRCNN on Vulkan end to end.


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[GitHub] [tvm] junrushao1994 closed issue #9416: Apache TVM v0.8 Release Note Candidate

Posted by GitBox <gi...@apache.org>.
junrushao1994 closed issue #9416:
URL: https://github.com/apache/tvm/issues/9416


   


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[GitHub] [tvm] junrushao1994 commented on issue #9416: Apache TVM v0.8 Release Note Candidate

Posted by GitBox <gi...@apache.org>.
junrushao1994 commented on issue #9416:
URL: https://github.com/apache/tvm/issues/9416#issuecomment-978062262


   Release candidate is approved:
   * Voting thread: https://github.com/apache/tvm/issues/9504
   * Voting result: https://github.com/apache/tvm/issues/9566


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[GitHub] [tvm] masahi edited a comment on issue #9416: Apache TVM v0.8 Release Note Candidate

Posted by GitBox <gi...@apache.org>.
masahi edited a comment on issue #9416:
URL: https://github.com/apache/tvm/issues/9416#issuecomment-957029338


   Ok replaced with "Improved Vulkan backend" at the overview, and added following, unusually more details in "Codegen Backends and Runtime" to show off our vk capability.
   
    A critical bug fix in SPIRV codegen allows the Vulkan backend to produce correct outputs on more hardwares and drivers. Added support for querying device specific hardware parameters and capabilities, dynamic shapes, irregular ops such as sorting and NMS, UBO, fp16, and vectorization. We can now run complicated models like MaskRCNN on Vulkan end to end.


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[GitHub] [tvm] junrushao1994 commented on issue #9416: Apache TVM v0.8 Release Note Candidate

Posted by GitBox <gi...@apache.org>.
junrushao1994 commented on issue #9416:
URL: https://github.com/apache/tvm/issues/9416#issuecomment-957122044


   Thank you @masahi for helping edit the description for Vulkan! It looks pretty nice to me :-)
   
   Thanks @jiangjiajun for proofreading the PaddlePaddle-related text. Yep these commits were not there a month ago when we collected the initial changelog draft. Thanks to @vinx13, who acted swiftly and added these commits into both the release notes and the changelog today, these PRs you mentioned are included in the latest draft!


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[GitHub] [tvm] mehrdadh commented on issue #9416: Apache TVM v0.8 Release Note Candidate

Posted by GitBox <gi...@apache.org>.
mehrdadh commented on issue #9416:
URL: https://github.com/apache/tvm/issues/9416#issuecomment-966684781


   I have tested v0.8 release on microtvm physical hardware for Arduino and Zephyr platforms. It passes the tests for these hardware:
   - **Zephyr**: qemu_x86, nrf5340dk_nrf5340_cpuapp, nucleo_l4r5zi, stm32f746g_disco, nucleo_f746zg
   - **Arduino**: due


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