Unfolded Deep Graph Learning for Networked Over-the-Air Computation Over-the-air computation (AirComp) has emerged as a promising technology that enables simultaneous transmission and computation ...

Portable FID calculation： from typing import Iterable import torch from torch import Tensor from torch.nn.functional import adaptive_avg_pool2d from pytorch_fid.inception import InceptionV3 def get ...

🐛 Describe the bug I discovered while trying to convert a pytorch-geometric based model, that torch.scatter_reduce cannot be correctly converted to ONNX when input is two dimensional. A minimal exa ...

A Tensor Processing Unit (TPU) is a specialized chip designed to accelerate artificial intelligence (AI) and machine learning (ML) tasks.

New automated system can help improve AI models' efficiency The researchers validate SySTeC’s effectiveness through extensive performance evaluations on common tensor operations, including symmetric ...

“In this way, we get the benefits of both optimizations. And the interesting thing about symmetry is, as your tensor has more dimensions, you can get even more savings on computation,” Ahrens ...

To fully exploit the tensor-based properties of MS and the graph-based spectral-band correlations of MS, this article proposes a unified graph-based nonconvex tensor rank minimization (GNTRM) model ...