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[Tracking Issue] How to avoid TVM increased tensor dimension? #17417

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dspeia opened this issue Sep 25, 2024 · 2 comments
Open

[Tracking Issue] How to avoid TVM increased tensor dimension? #17417

dspeia opened this issue Sep 25, 2024 · 2 comments
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needs-triage PRs or issues that need to be investigated by maintainers to find the right assignees to address it type:rfc-tracking RFC progress tracking. Ref: https://github.com/apache/tvm-rfcs

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@dspeia
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dspeia commented Sep 25, 2024

I use TVM to refine my onnx model that contains max tensor dimension is < 4,
but when i check the new onnx model output from TVM, i found there are 5-dim tensor in model,
it means TVM increased the tensor dimension that flow in model.

Are there some parameters can set the max tensor dimension to avoid TVM increased tensor dimension?
thanks in advance.

  • needs-triage
@dspeia dspeia added needs-triage PRs or issues that need to be investigated by maintainers to find the right assignees to address it type:rfc-tracking RFC progress tracking. Ref: https://github.com/apache/tvm-rfcs labels Sep 25, 2024
@dspeia
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dspeia commented Sep 26, 2024

Thanks for this awesome project, any reply would be greatly appreciated.
@MasterJH5574 @mshr-h @vinx13 @Hzfengsy @Lunderberg @tqchen

@tqchen
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tqchen commented Sep 26, 2024

for now we don't have such setting unfortunately

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needs-triage PRs or issues that need to be investigated by maintainers to find the right assignees to address it type:rfc-tracking RFC progress tracking. Ref: https://github.com/apache/tvm-rfcs
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