gemini-code-assist[bot] commented on PR #18401:
URL: https://github.com/apache/tvm/pull/18401#issuecomment-3452442478

   ## Summary of Changes
   
   Hello @tlopex, 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 significantly enhances the PyTorch Relax frontend by 
formalizing and testing the decomposition of various unary operators. The 
changes ensure that these operations are correctly translated into a sequence 
of more fundamental Relax primitives, which is crucial for improved 
optimization and broader compatibility. The update involves both modifying 
existing test configurations and introducing new, detailed test cases to 
validate the decomposition logic for several key unary functions.
   
   ### Highlights
   
   * **Unary Operator Decomposition**: Enabled decomposition for all unary 
operators within the PyTorch Relax frontend tests, allowing complex operations 
to be broken down into simpler Relax primitives.
   * **Test Refactoring**: Refactored existing unary operator tests to 
explicitly utilize the `run_ep_decomposition=True` flag, ensuring that 
decomposition is actively tested.
   * **New Decomposition Test Cases**: Added dedicated test cases for 
`torch.isfinite`, `torch.nn.functional.selu`, `torch.nn.functional.silu`, 
`torch.ops.aten.silu_`, `torch.square`, and `torch.relu_`, complete with their 
expected decomposed Relax IRModule definitions.
   * **Operator List Cleanup**: Removed direct mappings for operators now 
covered by explicit decomposition tests from the general unary operator test 
list, streamlining the test suite.
   
   
   
   
   
   
   
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