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Backgroud（背景信息）

To enable users to utilize Ascend operators more conveniently and quickly, provide a compressed sample for 3D convolution. This allows users to launch Ascend operators in PyTorch with minimal adaptation, sparing the need for complex deliverables.

为了让用户更加便捷和快速的使用昇腾算子，提供一个卷积极简调用样例，用户可以通过简单适配就使用 Pytorch 拉起昇腾算子，省去复杂的交付件。

Origin（信息来源）

NA

Benefit / Necessity （价值/作用）

Design（设计方案）

Implement Conv3DV2 new kernel launch mechanism.

Pybind 前端实现注册 Conv3DV2 算子到 Pytorch
Pybind 后端调用Tiling接口和 Kernel 接口
TilingData 切换为结构体注册，废弃之前宏注册
Tiling 模块提供新的获取 TilingData 接口
Kernel 模块提供新的 Kernel 接口
提供样例和资料

Registering the operator to PyTorch via Pybind11
Modernizing the TilingData registration mechanism
Providing new interfaces for Tiling and Kernel modules
Including example usage and documentation