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Posted to commits@tvm.apache.org by GitBox <gi...@apache.org> on 2022/06/24 21:36:34 UTC
[GitHub] [tvm] jwfromm opened a new pull request, #11894: [Relay][Frontend][Onnx] Add support for onnx sequence operators.
jwfromm opened a new pull request, #11894:
URL: https://github.com/apache/tvm/pull/11894
This PR adds support for Onnx sequence operators introduced in opset 11. Specifically I've added converters for `SequenceConstruct`, `SequenceInsert`, and `ConcatFromSequence`, which we found sometimes show up in models exported from Pytorch. For simplicity, I handle these cases by just using Tuples. We may want to consider using the TensorArray ADT eventually instead.
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[GitHub] [tvm] BruceDai003 commented on pull request #11894: [Relay][Frontend][Onnx] Add support for onnx sequence operators.
Posted by GitBox <gi...@apache.org>.
BruceDai003 commented on PR #11894:
URL: https://github.com/apache/tvm/pull/11894#issuecomment-1278415090
Thanks, I found some similar onnx sequence operators were not implemented yet, like SequenceEmpty, SequenceErase, SplitToSequence. Could you help take a look?
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[GitHub] [tvm] jwfromm commented on pull request #11894: [Relay][Frontend][Onnx] Add support for onnx sequence operators.
Posted by GitBox <gi...@apache.org>.
jwfromm commented on PR #11894:
URL: https://github.com/apache/tvm/pull/11894#issuecomment-1165959085
@sfvaroglu can you take a look at this PR?
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[GitHub] [tvm] junrushao1994 merged pull request #11894: [Relay][Frontend][Onnx] Add support for onnx sequence operators.
Posted by GitBox <gi...@apache.org>.
junrushao1994 merged PR #11894:
URL: https://github.com/apache/tvm/pull/11894
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