Pinning data to GPU in Tensorflow and PyTorch

Posted on mar. 02 octobre 2018 in Tutorial by Laura Domine
Tagged with memory, tensorflow, pytorch

Sometimes you might want to keep ('pin') some data on GPU. We demonstrate how to do it in Tensorflow and PyTorch.


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Writing your own CUDA kernel (Part 1)

Posted on mar. 02 octobre 2018 in Tutorial by Laura Domine
Tagged with cuda, tensorflow, pytorch

First part of a tutorial serie to write your own CUDA kernel and use it in Tensorflow or PyTorch.


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Writing your own CUDA kernel (Part 2)

Posted on mar. 02 octobre 2018 in Tutorial by Laura Domine
Tagged with cuda, tensorflow, pytorch

Second part of a tutorial serie to write your own CUDA kernel and use it in Tensorflow or PyTorch.


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Profiling Tensorflow

Posted on mar. 25 septembre 2018 in Tutorial by Corey Adams
Tagged with Tensorflow, profiling, memory, comparisons

A walkthrough of many of the current techniques for profiling time and memory usage for tensorflow.


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Tutorials on Colaboratory

Posted on ven. 02 mars 2018 in tutorial by Kazuhiro Terao
Tagged with python tutorial, DL tutorial, colaboratory, tensorflow

List of tutorials covering basics of tensorflow, slim, image classification and semantic segmentation using MNIST images. All notebooks can be run on free Google colaboratory with GPU. No need to own your own GPU machine!


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How to Implement Minibatching in Tensorflow

Posted on ven. 22 d├ęcembre 2017 in Minibatch by Ji Won Park
Tagged with MNIST, minibatch, tensorflow

A demonstration of minibatch implementation in Tensorflow, comparing training with and without minibatches with the MNIST dataset as an example


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