Torch-TensorRT で PyTorch の推論を最大 6 倍高速化
PyTorch と NVIDIA TensorRT を新たに統合し、1 行のコードで推論を高速化する Torch-TensorRT に期待しています。PyTorch は、今では代表的なディープラーニング フレームワークであり、世界中に数百万人のユーザーを抱えています。TensorRT はデータ センター、組み込み、および車載機器で稼働する GPU アクセラレーションプラットフォーム全体で、高性能なディープラーニングの推論を行うための SDK です。この統合により、PyTorch ユーザーは TensorRT を使用する際、簡素化されたワークフローを通じて非常に高い推論性能を得ることができます。 Torch-TensorRT とは Torch-TensorRT は、TensorRT の推論最適化を NVIDIA GPU で利用するための PyTorch の統合ソフトウェアです。たった 1 行
NVIDIA Nsight Systems
NVIDIA Nsight™ Systems is a system-wide performance analysis tool designed to visualize an application’s algorithms, identify the largest opportunities to optimize, and tune to scale efficiently across any quantity or size of CPUs and GPUs, from large servers to our smallest systems-on-a-chip (SoCs).
Automatically Remove Backgrounds From Images | NVIDIA Technical Blog
Researchers from Adobe, the Beckman Institute for Advanced Science and Technology and University of Illinois at Urbana-Champaign developed a deep learning-based method that clips objects from photos and videos. Researchers have developed a number of different artificially intelligent programs to automatically subtract a background from an image, but most are based on colors. When presented with an
Optimizing Warehouse Operations with Machine Learning on GPUs | NVIDIA Technical Blog
Bringing It All Together There are many places in the warehouse management process where this fast and accurate OCaPi travel time estimator can be applied, and I use the estimator to demonstrate how to solve the batching problem in the example from above. I wrote a very simple optimization algorithm based on simulated annealing which starts with 40 orders of 2 items each split randomly between two
Understanding Natural Language with Deep Neural Networks Using Torch | NVIDIA Technical Blog
After the machine has learned word embeddings, the next problem to tackle is the ability to string words together appropriately in small, grammatically correct sentences which make sense. This is called language modeling. Language modeling is one part of quantifying how well the machine understands language. For example, given a sentence (“I am eating pasta for lunch.”), and a word (“cars”), if th
Deep Learning for Computer Vision with Caffe and cuDNN | NVIDIA Technical Blog
Deep learning models are making great strides in research papers and industrial deployments alike, but it’s helpful to have a guide and toolkit to join this frontier. This post serves to orient researchers, engineers, and machine learning practitioners on how to incorporate deep learning into their own work. This orientation pairs an introduction to model structure and learned features for general
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Developing and Deploying Your Custom Action Recognition Application Without Any AI Expertise Using NVIDIA TAO and NVIDIA DeepStream | NVIDIA Technical Blog
DeepStream: Next-Generation Video Analytics for Smart Cities | NVIDIA Technical Blog