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