PaddlePaddle 2.3.1 introduces official support for CUDA 11.6, significant upgrades to quantization workflows including AMP support, and performance improvements in attention and linear operators.
PaddlePaddle 2.3.2 addresses CUDA 11.7 compatibility issues, improves quantization workflows, and expands inference support for ONNX Runtime and TensorRT.
PaddlePaddle 2.6.1 introduces a new graph neural network training engine (PGLBox) for large-scale models and support for Fake GroupWise quantization. The release also addresses security vulnerabilities and fixes issues in Paddle-TRT integration and Windows compilation.
Baidu’s PaddlePaddle framework receives version 2.2.2, introducing the Mish activation function, expanded TensorRT support, and numerous bug fixes for training and inference workflows.
