[RELAX][ONNX] Add support for dynamic shape expression in Expand#17504
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Hzfengsy merged 4 commits intoapache:mainfrom Nov 5, 2024
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updated slice to convert PrimExpr to PrimValue before sending values to relax.op.strided_slice
removed unnecessary list comprehension
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Aug 10, 2025
…che#17504) * updated expand to support dynamic relax.ShapeExpr updated slice to convert PrimExpr to PrimValue before sending values to relax.op.strided_slice * added test for dynamic shape expression in test_expand * updated formatting removed unnecessary list comprehension
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Expand
Updated Expand converter in onnx frontend to to handle dynamic shape expressions by matching data and target_shape
dimension lengths and converting any target shape elements assigned to -1 to the data shape dimension.
Added regression test to onnx frontend testing Expand with a dynamic shape
Additional small fixes
I replaced int(k.data.numpy()[0]) with int(k.data.numpy().item()) in Trilu since sometimes the data shape is a zero dimensional scalar
I added a function converting from PrimExpr to PrimValue before sending in starts, ends, steps to relax.op.strided_slice since it does not accept PrimeExpr as inputs.