gemini-code-assist[bot] commented on PR #67:
URL: https://github.com/apache/tvm-ffi/pull/67#issuecomment-3342049856

   ## Summary of Changes
   
   Hello @tqchen, 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 refines the Application Binary Interface 
(ABI) for Tensor objects by introducing a new `ShapeView` class and minimizing 
the internal state exposed by `TensorObj`. The primary goal is to enhance ABI 
stability for future C++ dependencies by ensuring that the C++ API relies more 
directly on the DLTensor field's behavior. This involves optimizing memory 
management through in-place allocation of shape and strides data and providing 
direct accessors for key tensor properties.
   
   ### Highlights
   
   * **Introduction of ShapeView**: A new lightweight, non-owning `ShapeView` 
class has been introduced to efficiently represent shape data, reducing managed 
copies and memory allocations associated with `Shape` objects.
   * **Minimized TensorObj ABI Exposure**: The internal structure of 
`TensorObj` has been streamlined by removing internal state like cached 
DLManagedTensorVersioned, shape_data_, and strides_data_. This ensures the C++ 
API primarily depends on the behavior of the DLTensor field, leading to a more 
stable ABI.
   * **In-place Allocation for Shape and Strides**: Shape and strides data are 
now allocated in-place directly after `TensorObj` derived structures (e.g., 
`TensorObjFromNDAlloc`, `TensorObjFromDLPack`), optimizing memory usage and 
reducing the need for separate `Shape` object allocations.
   * **New Helper Functions for ffi::Tensor**: Convenience methods 
`data_ptr()`, `ndim()`, and `numel()` have been added to the `ffi::Tensor` 
class, providing direct access to underlying DLTensor properties.
   * **Version Bump**: The project version has been updated from `0.1.0b9` to 
`0.1.0b10`.
   
   
   
   
   
   
   
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