gemini-code-assist[bot] commented on PR #18399:
URL: https://github.com/apache/tvm/pull/18399#issuecomment-3447723270

   ## 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 introduces a crucial, temporary flag to the 
`from_exported_program` function, enabling developers to control PyTorch's 
operator decomposition process. This change is designed to allow for a phased 
transition to supporting decomposed operators, which is essential for future 
optimizations and broader compatibility. By making decomposition optional, the 
PR ensures existing functionality remains stable while laying the groundwork 
for incremental improvements and eventual full adoption of decomposed 
operations.
   
   ### Highlights
   
   * **New Flag for PyTorch Decomposition**: Introduced a new 
`run_ep_decomposition` boolean flag to the `from_exported_program` function, 
allowing explicit control over whether PyTorch's operator decomposition is 
applied.
   * **Enabling Gradual Migration**: This flag facilitates a gradual migration 
path from non-decomposed to decomposed operator support, addressing current 
translator limitations where high-level operators are expected.
   * **Temporary Measure**: The `run_ep_decomposition` flag is temporary and 
will be removed once full migration to decomposed operators is complete and 
stable.
   * **Conditional Decomposition**: The `exported_program.run_decompositions()` 
call is now conditional, executing only when `run_ep_decomposition` is set to 
`True`, ensuring backward compatibility by defaulting to `False`.
   
   
   
   
   
   
   
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