javierdejesusda opened a new pull request, #19660: URL: https://github.com/apache/tvm/pull/19660
`torch.pow` on an integer tensor returns an integer result, but the PyTorch frontend lowered it to `relax.op.power`, which fails `LegalizeOps` with `power only applies to float` (TOPI `power` / `tvm::pow` requires a floating-point input). This decomposes an integer base raised to a constant non-negative integer exponent into repeated multiplication, so the result stays integral and matches PyTorch. Float bases and non-constant or tensor exponents keep using `relax.op.power` unchanged. The ONNX frontend already uses the same decomposition (`x**3 = x*x*x`). Added structural tests covering both the FX and ExportedProgram import paths. Fixes #19550 -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
