The effectiveness of the neural network-based constitutive model has been validated through simulations of drained and undrained triaxial tests under various initial conditions, as well as boundary value problem
The Tensor Factorized Neural Network (TFNN) is applied to the task of Speech Emotion Recognition (SER). Two datasets are chosen to demonstrate the effectiveness of the Tensor Factorization based architectures in capturing the emotion salient information in the speech utterances. The Datasets are chosen...
Seq2SeqSharp is a tensor based fast & flexible deep neural network framework written by .NET (C#). It has many highlighted features, such as automatic differentiation, different network types (Transformer, LSTM, BiLSTM and so on), multi-GPUs supported, cross-platforms (Windows, Linux, x86, ...
Projected performance subject to change. Inference on Megatron 530B parameter model based chatbot for input sequence length=128, output sequence length =20 | A100 cluster: HDR IB network | H100 cluster: NVLink Switch System, NDR IB Up to 7X Higher Performance for HPC Applications ...
First, we have to see if the operation we're trying to do is even possible between the given tensors. Based on the tensors' original shapes, there may not be a way to reshape them to force them to be compatible, and if we can't do that, then we can't use broadcasting. Step ...
Dynamic Neural Networks: Tape-Based Autograd PyTorch has a unique way of building neural networks: using and replaying a tape recorder. Most frameworks such as TensorFlow, Theano, Caffe, and CNTK have a static view of the world. One has to build a neural network and reuse the same structure...
Dynamic Neural Networks: Tape-Based Autograd PyTorch has a unique way of building neural networks: using and replaying a tape recorder. Most frameworks such as TensorFlow, Theano, Caffe, and CNTK have a static view of the world. One has to build a neural network and reuse the same structure...
“Methods” section). Five frames of video are input into the neural network as the input tensor. Similar to the experiment of image convolution, each input frame is reshaped to a row vector for temporal modulation. For the first convolutional layer, the adopted kernel size is [1 × ...
Genome-wide identification of single-cell transcriptomic responses of drugs in various human cells is a challenging issue in medical and pharmaceutical research. Here we present a computational method, tensor-based imputation of gene-expression data at t
Tensor Core 是 Nvidia 自 Volta 架构开始引入的矩阵计算专用处理单元,在进行矩阵乘加运算时,Tensor Core 的峰值吞吐率可以达到 Pascal 架构(Volta 的前一代架构)标准 32 位浮点运算吞吐率的 12 倍 [1]。Nvidi…