… INT8 Inference – Calibration import os import torch model = Model model.eval data = torch.rand Applying torch.fx.experimental.optimization.fuse against model performs conv-batchnorm folding for better performance. import torch.fx.experimental.optimization as optimization model = optimization.fuse m… …
… Updated oneDNN to version 2.5.1 Improved FusedMatMul operation, which enhances the performance of models like BERT Added LayerNormalization ops fusion and BatchMatMul – Mul – AddV2 fusion to improve performance of Transformer based language models Improved performance of EfficentNet and EfficientDe… …
… Replaces the 2019R1 model. instance-segmentation-security-0010, instance-segmentation-security-0050, instance-segmentation-security-0083: updates to the existing instance segmentation networks with better performance/accuracy trade-offs and new layers, like, group norms and deformable convolutions. …
… Deliver generative AI performance with simplified development and increased productivity. By Bringing forth numerous enhancements and updates for an improved user experience. As part of our focus on GenAI, we have improved the performance and support for the LLaMA models family. …
… FusedSDPA Performance Improvements For more information on the LLM inference performance improvements, see Model Performance Data . …
… Improved performance of various LLM models for Intel Gaudi2 and Gaudi3 accelerators, including LLaMA 3.1 8B/70B for inference. For more information, check out the Intel Gaudi model performance page . …
… Improved inference performance for non-vision use cases with a primary focus on Bert-based models. Improved inference performance for 1D models which mostly suitable for audio use cases. Improved inference performance for extremely light-weighted models by reducing non-computational overheads. …