gemini-code-assist[bot] commented on PR #18382:
URL: https://github.com/apache/tvm/pull/18382#issuecomment-3426520191

   ## Summary of Changes
   
   Hello @jikechao, I'm Gemini Code Assist[^1]! 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 `tvm.tir.exp` operator to gracefully handle 
integer input types. Previously, attempting to use `exp` with integers would 
result in an `InternalError` due to the underlying `llvm.exp` intrinsic 
expecting floating-point values. The change introduces an automatic type 
conversion from integer to `float32`, aligning the operator's behavior with 
common numerical libraries and ensuring robust exponential calculations across 
different data types.
   
   ### Highlights
   
   * **Integer Support for `tir.exp`**: The `tvm.tir.exp` operator now supports 
integer input types by implicitly converting them to `float32` before 
computation, resolving an `InternalError` during LLVM code generation.
   * **Type Conversion Logic**: A conditional type cast has been introduced in 
the `exp` function within `python/tvm/tir/op.py` to perform the `int` to 
`float32` conversion.
   * **New Test Case**: A new test entry has been added to 
`tests/python/relax/test_transform_legalize_ops_unary.py` to specifically 
verify the correct behavior of `R.exp` with `int32` inputs.
   
   
   
   
   
   
   
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