TensorFlow is written both in optimized C++ and the NVIDIA®CUDA®Toolkit, enabling models to run on GPU at training and inference time for massive speedups. TensorFlow GPU support requires several drivers
TensorFI is a fault injector for TensorFlow applications written in Python. It instruments the Tensorflow graph to inject faults at the level of individual operators. Unlike other fault injection tools, the faults are injected at a higher level of abstraction, and hence can be easily mapped to ...
Picocli is included in the OpenJDK Quality Outreach list of Free Open Source Software (FOSS) projects that actively test against OpenJDK builds. Picocli is used in the Apache Hadoop Ozone/HDDS command line tools, the Apache Hive benchmark CLI, Apache Ignite TensorFlow, and Apache Sling Feature...
Gin is a HTTP web framework written in Go (Golang). It features a Martini-like API with much better performance -- up to 40 times faster. If you need smashing performance, get yourself some Gin.
可扩展的模型设计,支持 8bit量化和半精度浮点存储,可导入 caffe/pytorch/mxnet/onnx/darknet/keras/tensorflow(mlir) 模型 支持直接内存零拷贝引用加载网络模型 可注册自定义层实现并扩展 恩,很强就是了,不怕被塞卷 QvQ supported platform matrix ✅ = known work and runs fast with good optimization ...
DeepTCR was written using Google’s TensorFlowTM deep learning library (https://github.com/tensorflow/tensorflow) and is available as a python package. Source code, comprehensive documentation, use-case tutorials, and all ancillary code (including all deep learning hyperparameters) to recreate all ...
It was originally developed as a way to enable people with visual impairments or reading disabilities to listen to written words. Today, text-to-speech has evolved to a diverse range of use cases that formerly required human operators or in which reading isn’t practical. These include ...
Self-attention, sometimes called intra-attention is an attention mechanism relating different positions of a single sequence in order to compute a representation of the sequence. Self-attention,有时也称为intra-attention,是一种将单个序列的不同位置联系起来以计算序列表示的注意机制。
In this study, we focused our analysis on Twitter datasets written in the English language. Table 2 summarizes the dataset categories, properties and data collections used. We note down the interannotator agreement as reported by the original reference work, though we highlight that interannotator ...
where\(p_{\text {\tiny {MC}}}({\mathbf {y}}^*=c|{\mathbf {x}}^*)\)is the average of the softmax probabilities of input\({\mathbf {x}}^*\)being in classcoverTMonte Carlo samples. Finally, MI can be re-written as: