CUDA Tips: nvcc’s -code, -arch, -gencode
Introduction People may feel confused by the options of -code, -arch, -gencode when compiling their CUDA codes. Although the official guidance explains the d...
My Posts List
2022
Expected Data Types in Mixed Precision Cheatsheet
When training neural networks with the Keras API, we care about the data types and computation types since they are relevant to the convergence (numeric stab...
Understanding the GeLU Fusion with TF-Grappler Visualization Tool
Introduction This post focuses on the GELU activation and showcases a debugging tool I created to visualize the TF op graphs. The Gaussian Error Linear Unit,...
2021
Demystifying the BatchNorm-Add-ReLU Fusion
Introduction My previous post, “Demystifying the Conv-Bias-ReLU Fusion”, has introduced a common fusion pattern in deep learning models. This post, on the ot...
Sparse Data Structure: Sorting Indices with Any Sorter + Custom Comparators
Introduction Recently, I am working on a project regarding sparse tensors in Tensorflow. Sparse tensors are used to represent tensors with many zeros. To sav...
Moving Mean and Moving Variance In Batch Normalization
Introduction On my previous post Inside Normalizations of Tensorflow we discussed three common normalizations used in deep learning. They have in common a tw...
Topological Sorting Explained
Introduction Recently I was working on a project related to the operation fusion in Tensorflow. My previous posts have covered several topics, such as how to...
Demystifying the Conv-Bias-ReLU Fusion
Introduction My previous post, “Fused Operations in Tensorflow”, introduced the basics of operation fusion in deep learning by showing how to enable the grap...
Fused Operations in Tensorflow
Introduction The computations in deep learning models are usually represented by a graph. Typically, operations in the graph are executed one by one, and eac...
Communications in Distributed Training with Tensorflow + Horovod
Introduction Horovod is an open source toolkit for distributed deep learning when the models’ size and data consumption are too large. Horovod exhibits many ...
Parameters In Tensorflow Keras RNN and CUDNN RNN
Introduction Recurrent Neural Network (RNN) is widely used in AI applications of handwriting recognition, speech recognition, etc. It essentially consists of...
2020
Inside Normalizations of Tensorflow
Introduction Recently I came across with optimizing the normalization layers in Tensorflow. Most online articles are talking about the mathematical definitio...