Each thread block is assigned enough shared memory so that each warp has two 16 × 16 tiles worth of scratchpad memory it can use to form and store the convolution and weight matrix tiles it needs for ...

After all, many data sets can be modeled analytically or with simple statistical ... which is based on PyTorch, simplifies training fast and accurate neural networks using modern best practices.

Early on, academics and researchers were drawn to PyTorch because it was easier to use than TensorFlow for ... of common benchmark datasets (based on simple interfaces to create your own), the ...

This project inherits from https://github.com/developer0hye/PyTorch-Deformable-Convolution-v2. I also referred the official DCNv2 project. You don't have to worry ...