Release Notes for Intel Distribution of OpenVINO Toolkit 2023.1
…Your PyTorch solutions are now even further enhanced with OpenVINO. You’ve got more options and you no longer need to convert to ONNX for deployment. Developers can now use their API…
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…Your PyTorch solutions are now even further enhanced with OpenVINO. You’ve got more options and you no longer need to convert to ONNX for deployment. Developers can now use their API…
…Intel leads the development and optimization of the CPU backend of torch.compile , which is a flagship feature in PyTorch 2.0 . Intel also offers Intel® Extension for PyTorch to stage the…
…Introduced OpenVINOQuantizer class inherited from PyTorch 2 Quantizer for more accurate and efficient quantized PyTorch models for deployments with OpenVINO. Added support for nncf.quantize() method as the initialization step for Quantization…
…Out of all these frameworks, PyTorch and TensorFlow have become the most used due to their vast feature sets, extensive ecosystems and community support. While these frameworks dominate the AI landscape, Just…
The smile-deep module provides idiomatic Java API for deep learning on the JVM while still reaching CPU, CUDA, and MPS backends by wrapping the PyTorch / LibTorch C++ runtime. It also provides tiktoken BPE tokenizer, LLa…
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…Adrenalin Edition application, you can use this to build and train models from scratch or load existing models for inference Learn more about PyTorch using the official get started guide or join…
…To address this challenge, today we are announcing the availability of AutoDeploy as a beta feature in TensorRT LLM. AutoDeploy compiles off-the-shelf PyTorch models into inference-optimized graphs. This avoids…
…Using PyTorch*-based YOLO* v5 convolutional neural network (CNN) architecture, the model detects vehicles and pedestrians on the traffic camera feed. OpenCV and NumPy-based postprocessing of Non-Maximum Suppression (NMS) and…
…The Exabox will reportedly ship in a ready state for handling Tinygrad, PyTorch, and others. While costing ten million dollars and the hardware specs have yet to be finalized, their claim is…
…The PyTorch-based DLRS extends support for Flair [5], which includes the ability of Transformers, to apply natural language processing (NLP) models to text, such as named entity recognition (NER), part-of…