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Where is the video memory used? Generally, when training neural networks, the memory is mainly occupied by network models and intermediate variables. The parameters of convolution layer, full connection layer and standardization layer in the network model occupy the video memory, while the activation layer and pooling layer do not occupy ...

The embedded system raspberry pie 3B realizes the acceleration of pytorch calculation through GPU General idea The cross compilation environment is a raspberry pi 3B docker imageUsing the open source GPU library on github QPULibInstall pytorch on raspberry pie and accelerate the process through cross compilationProvided via pytorch Interface ...

This article is my recent self-study pytorch notes, according to Introduction to pytorch Basics Please correct any mistakes or misunderstandings in the notes of what you have learned. The feelings and experiences of this teaching video are at the end of the article. Love the official account if you like. Some of your learning experience and rec ...

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preface The last article introduced pyg from the basic tools provided by pyg. However, we generally use the tripartite library as a building block to build a relatively large model and use it in our own data set, rather than being satisfied with the simple model and standard data set in the running demo. Therefore, this paper will reproduce T- ...

1. Preface The data import of Pytorch depends on torch utils. data. Dataloader and torch utils. data. Dataset (or torch.utils.data.IterableDataset). 2. torch.utils.data.DataLoader learning In torch utils. As mentioned in the official data document, torch utils. data. Dataloader is the core tool of pytorch data import. It returns an iteratabl ...

Recently, I was burst by yolox. In addition, I have too many plots for yolo series. I tried yolof before. Now, yolox and openvino reasoning happen to need this part. Now I'll try to make a preliminary exploration. 1, Basic configuration cuda 10.1 2, Environment construction 1. Installing yolox git clone git@github.com:Megvii-BaseDetection/YOLO ...

DenseNet, a densely connected convolution network with Pytorch Note32 A summary of all notes: Pytorch Note Happy Planet DenseNet Previous Resnet enhanced the information flow between the front and back layers through Shortcuts, alleviated the disappearance of gradients to some extent, and built the neural network very deeply. Furthermore ...

preface What is GPU? GPU (Graphic Process Units). It is a single-chip processor, which is mainly used to manage and improve the performance of video and graphics. GPU accelerated computing refers to the use of graphics processor (GPU) and CPU to speed up the running speed of applications.Why use GPU? Deep learning involves many vector or multi ...

There are two scripts for testing in the source code: test Py and evaluate_gpu.py . Where, test Py load through the script train Py trained model to extract the features of query and gallery images; This article describes the script test Py. 1. Load model and data Firstly, the trained model needs to be loaded. Here, the pedestrian re recogni ...