[Runtime][Builtin] Handle mismatched type on argument #0 when calling Builtin Runtime Operators#18837
[Runtime][Builtin] Handle mismatched type on argument #0 when calling Builtin Runtime Operators#18837locnd182644 wants to merge 6 commits intoapache:mainfrom
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… Builtin runtime operators. - Expected `ffi.Tensor` but got `DLTensor`
Summary of ChangesHello, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request enhances the robustness of TVM's Builtin Runtime Operators by introducing more flexible type handling for their primary arguments. It addresses a common issue where operators expected a specific Highlights
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Code Review
This pull request addresses a type mismatch issue for vm.builtin.shape_of and vm.builtin.reshape operators by allowing them to accept DLTensor* in addition to Tensor. The change uses ffi::Any and try_cast to handle both types, which is a good approach. My main feedback is regarding a potential memory leak in the reshape implementation when handling DLTensor*, for which I've left a specific comment with a suggested fix.
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@tvm-bot rerun |
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Failed to re-run CI in https://github.com/apache/tvm/actions/runs/22479271221 Detailswith response |
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@tvm-bot rerun |
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Failed to re-run CI in https://github.com/apache/tvm/actions/runs/22498407923 Detailswith response |
This PR handle mismatched type on argument #0 when calling: Builtin Runtime Operators (ex:
vm.builtin.shape_of,vm.builtin.reshape, ...) (Expectedffi.Tensorbut gotDLTensor*)Summary
ffi.Tensorbut gotDLTensor*)Description
Tensor. But some case has argument #0 isDLTensor*.ffi.Tensorbut gotDLTensor*".Resolve
ffi:Anyto cover all cases.try_castto convert data types.TensororDLTensor*.Reference