gemini-code-assist[bot] commented on PR #18548:
URL: https://github.com/apache/tvm/pull/18548#issuecomment-3617040392

   ## Summary of Changes
   
   Hello @guan404ming, 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 FX frontend for Relax 
by introducing flexible support for the NHWC image layout in interpolation 
operations. Previously, the `interpolate` operation was rigidly tied to the 
NCHW layout, which limited its adaptability. By allowing users to specify their 
preferred image layout, this change improves compatibility with various target 
platforms and optimizes performance for models that benefit from NHWC data 
arrangements.
   
   ### Highlights
   
   * **NHWC Layout Support**: The `TorchFXImporter` class now supports 
specifying the default image layout (NCHW or NHWC) during initialization, 
addressing the previous hardcoding to NCHW for interpolation operations.
   * **Dynamic Spatial Dimension Calculation**: The `_interpolate` method 
within `TorchFXImporter` has been updated to dynamically determine spatial 
dimensions based on the configured `default_image_layout`, ensuring correct 
behavior for both NCHW and NHWC inputs.
   * **Public API Exposure**: The public `from_fx` function now exposes a 
`default_image_layout` parameter, allowing users to explicitly choose the image 
layout when importing PyTorch FX graphs, enhancing user flexibility.
   * **Comprehensive Testing**: New unit tests have been added to validate the 
correct behavior of `interpolate` with both NCHW (default) and NHWC layouts, 
covering nearest neighbor and bilinear interpolation modes, and ensuring 
backward compatibility.
   
   
   
   
   
   
   
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