May 4, 2022 ADRs Remove shape descriptor creation when caching shape buffers (#10162) Dec 19, 2024 build-scripts Add simplified build scripts, fix compilation error in benchmark modu… Aug 2, 2024 codegen Add new offset usage for determining offsets removing indexOffset usa… ...
Bayesian Deep Learning Benchmarks(BDL Benchmarks orbdlbfor short), is an open-source framework that aims to bridge the gap between the design of deep probabilistic machine learning models and their application to real-world problems. Our currently supported benchmarks are: ...
Learning with Continuous-Time Dynamic Graphs The Benchmark Problem Spatio-temopral graph benchmark D-TDG benchmark C-TDG benchmark Abstract 深度图网络(DGNs)研究领域蓬勃发展,但仍有一些尚未解决的重要挑战尚未解决。具体来说,人们迫切希望使DGNs适应现实世界的互联实体系统上的预测任务,这些系统会随着时间的...
Deep learning (DL) is a class of ML algorithms that involves various artificial neural network architectures. DL models rely on nodes (also called neurons or units), which are functions that transform inputs and forward the outputs to other nodes. The connections between nodes result in a netwo...
2022. "Deep Learning-Based Bug Report Summarization Using Sentence Significance Factors" Applied Sciences 12, no. 12: 5854. https://doi.org/10.3390/app12125854 APA Style Koh, Y., Kang, S., & Lee, S. (2022). Deep Learning-Based Bug Report Summarization Using Sentence Significance Factors....
The paper’s innovation is to introduce a deep learning and IoT based approach to control the operation of air conditioners in order to reduce energy consumption. To achieve such an ambitious target, we have proposed a deep learning-based people detection system utilizing the YOLOv3 algorithm to...
Benchmarks Case Studies Netflix* Improves Video Encoding Performance up to 2X Netflix* engineers optimized cloud-based video encoding by using oneDNN to get the most out of the Intel® Advanced Vector Extensions 512 (Intel® AVX-512) instruction set. ...
A comprehensive computational benchmark for evaluating deep learning-based protein function prediction approaches. Brief. Bioinforma. 25, bbae050 (2024). Article Google Scholar Kunst, F. et al. The complete genome sequence of the gram-positive bacterium bacillus subtilis. Nature 390, 249–256 (...
在说torch.backends.cudnn.benchmark 之前,我们首先简单介绍一下 cuDNN。cuDNN 是英伟达专门为深度神经网络所开发出来的 GPU 加速库,针对卷积、池化等等常见操作做了非常多的底层优化,比一般的 GPU 程序要快很多。大多数主流深度学习框架都支持 cuDNN,PyTorch 自然也不例外。在使用 GPU 的时候,PyTorch 会默认使用 ...
"torch.backends.cudnn.benchmark=True". Use cuDNN as much as possible: For vanilla RNNs (such as basic GRUs/LSTMs) it is usually possible to call a cuDNN wrapper to improve speed e.g. cudnn_rnn.CudnnGRU() instead of rnn.GRUCell(). The downside is that running infer...