gemini-code-assist[bot] commented on PR #18417:
URL: https://github.com/apache/tvm/pull/18417#issuecomment-3478963658

   ## 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 integrates support for decomposed operators within the 
PyTorch frontend for Relax. It updates the expected Intermediate Representation 
(IR) in several test cases to accurately reflect how operators like `stack`, 
`tile`, `fill`, `masked_fill`, and type conversions are broken down into more 
primitive operations. This ensures proper handling and verification of these 
decomposed operators within the Relax framework.
   
   ### Highlights
   
   * **Operator Decomposition Support**: Enabled `run_ep_decomposition` for 
numerous `verify_model` calls across various tests, indicating the activation 
of operator decomposition for a wide range of operations.
   * **IR Adjustments for `stack` Operator**: The expected Intermediate 
Representation (IR) for `R.stack` operations was updated to reflect their 
decomposition into `R.concat` and `R.reshape` primitives.
   * **`tile` Operator Argument Fix**: The `R.tile` operator's `repeats` 
argument is now explicitly named in the expected IR, improving clarity and 
correctness in its representation.
   * **`fill` and `masked_fill` IR Changes**: `R.full` was replaced with 
`R.full_like` for `fill` operations, and `masked_fill` now uses `R.const` for 
the fill value in its expected IR.
   * **Simplified Type Conversion IR**: Explicit `R.astype` calls were removed 
from the expected IR for various type conversion tests, suggesting a more 
streamlined representation or implicit handling.
   
   
   
   
   
   
   
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