gemini-code-assist[bot] commented on PR #18400:
URL: https://github.com/apache/tvm/pull/18400#issuecomment-3448976210

   ## 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 TVM Relax. By adding specific mappings and decomposition 
logic for several unary operations, it improves the accuracy and flexibility of 
translating PyTorch models. The accompanying test updates ensure that these 
decomposed operations are correctly handled and verified, contributing to a 
more robust and comprehensive frontend.
   
   ### Highlights
   
   * **Expanded Operator Support**: Added mappings for 
`native_dropout.default`, `expm1.default`, `div.Scalar`, `bernoulli.p`, and 
`empty_permuted.default` in the PyTorch frontend translator to support more 
operations.
   * **Decomposed Operator Implementation**: The `expm1.default` operator is 
now explicitly decomposed into `exp(x) - 1` within the translator, allowing for 
a more fundamental representation.
   * **Enhanced Testing for Decomposition**: Modified the `verify_model` 
function in tests to include a `run_ep_decomposition` flag, enabling 
comprehensive verification of decomposed operators for various unary operations 
like Celu, Clamp, Dropout, Elu, Hardsigmoid, Hardswish, Log, Reciprocal, Max, 
Min, and ReLU6.
   * **Updated Expected IRModules**: Adjusted the expected Relax IRModules in 
tests to accurately reflect the output of decomposed operations for several 
unary functions, including specific handling for different `Dropout` and 
`ReLU6` scenarios.
   
   
   
   
   
   
   
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