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Record the bug s encountered in distributed training using pytorch's DistributedDataParallel for the first time: Expected tensor for argument #1 'input' to have the same device as tensor for argument #2 'weight Background: single machine multi card parallel training using linux server, pytorch version 1.7, python 3.0 7，cuda101 After consulti ...

Image features Similar to text features, image features are also a kind of data that is very difficult to mine by gradient lifting tree model. At present, image related problems, such as image classification and image segmentation, are almost neural network-based models. However, in some multimodal problems, such as commodity search recommen ...

First, you need to install two necessary packages tensorrt and torch2trt. If tensorrt, you need to download the tar compressed package on the official website. It is recommended to download the tar package for installation, Official website , I downloaded version 7.2.3. torch2trt can clone projects on GitHub. My environment (tensorrt seems to w ...

Machine learning algorithms usually use cross validation techniques such as kFold to improve the accuracy of the model. In the process of cross validation, the prediction is carried out through the split test set that is not used for model training. These predictions are called out of fold predictions. External prediction plays an important rol ...

1, Save Tensorflow model: 1. Save file description Tensorflow model mainly includes the design (diagram) of the network and the values of trained parameters. Therefore, tensorflow model has two main files: 1) graph.pbtxt: This is actually a text file, which saves the structure information of the model 2) checkpoint file: in fact, it is a tx ...

Classic network VGG16 structure According to the size of convolution kernel and the number of convolution layers, VGG can be divided into six configurations: A, a-lrn, B, C, D and E. among them, D and E are commonly used, which are called VGG16 and VGG19 respectively. The following figure shows six structural configurations of VGG:   In ...

This article will take you to build a car detector, using the algorithm of PyTorch version of YOLOV3. We will not explain the details of the algorithm, but focus on how to implement our own car detector, mainly including data download, data cleaning, data set production, training and detection (image detection, video detection). Even if you don ...

Life is short, learn Python! In the previous article, we tried to use Python to realize text OCR recognition many times! Today we are going to make an upgraded version: directly write an image character recognition OCR tool! introduction Recently, I talked about a demand for image and character recognition in the technical exchange group, w ...

Quickly review the soft voting and hard voting in the integration methodThe integration method is to combine the results of two or more separate machine learning algorithms and try to produce more accurate results than any single algorithm.In soft voting, the probability of each category is averaged to produce results. For example, if algorithm ...

Pytoch: fast migration of image style - residual network, fixed style and arbitrary content Copyright: Jingmin Wei, Pattern Recognition and Intelligent System, School of Artificial and Intelligence, Huazhong University of Science and Technology Pytoch tutorial column link This tutorial is not for commercial use. It is only for learning ...