IEEE

ABi-LSTM: Attention-Based Bidirectional-LSTM for Multiclass Traffic Agents Trajectory Prediction

Abstract: This study proposes the Attention-Based Bidirectional Long Short-Term Memory (ABi-LSTM) model for multimodal trajectory prediction of multiclass traffic agents in cross-perspective scenarios ...
GitHub

Segmentation fault in aten.lstm.data operator if batch_sizes tensor is NOT on the CPU

[conda] numpy 2.4.1 pypi_0 pypi [conda] nvidia-cublas-cu12 12.8.4.1 pypi_0 pypi [conda] nvidia-cuda-cupti-cu12 12.8.90 pypi_0 pypi [conda] nvidia-cuda-nvrtc-cu12 12.8.93 pypi_0 pypi [conda] ...
Digi Times

Google reportedly launches TorchTPU project to boost TPU compatibility with PyTorch

Google has reportedly initiated the TorchTPU project to enhance support for the PyTorch machine learning framework on its tensor processing units (TPUs), aiming to challenge the software dominance of ...
Reuters

Exclusive: Google works to erode Nvidia's software advantage with Meta's help

Google's TorchTPU aims to enhance TPU compatibility with PyTorch Google seeks to help AI developers reduce reliance on Nvidia's CUDA ecosystem TorchTPU initiative is part of Google's plan to attract ...
Hosted on MSN

Network in Network (NiN) Explained – Deep Neural Network Tutorial with PyTorch

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...
InfoWorld

PyTorch team unveils framework for programming clusters

The PyTorch team at Meta, stewards of the PyTorch open source machine learning framework, has unveiled Monarch, a distributed programming framework intended to bring the simplicity of PyTorch to ...
IEEE

LSTM Hardware Inference Accelerator for LiteRT

Abstract: The efficient deployment of Recurrent Neural Networks (RNNs), particularly long short-term memory (LSTM) architectures, on edge devices has become increasingly important due to their ability ...