PyTorch recreates the graph on the fly at each iteration step. In contrast, TensorFlow by default creates a single data flow graph, optimizes the graph code for performance, and then trains the model.

PyTorch recreates the graph on the fly at each iteration step. In contrast, TensorFlow by default creates a single data flow graph, optimizes the graph code for performance, and then trains the model.

PyTorch has a rapidly growing community, especially in the research sector, and is gaining on TensorFlow. Debugging PyTorch allows for straightforward debugging using standard Python tools.

The fundamental object in PyTorch is called a tensor. A tensor is essentially an n-dimensional array that can be processed using either a CPU or a GPU. PyTorch tensors are surprisingly complex. One of ...

PyTorch vs TensorFlow. While TensorFlow is the workhorse of Google’s ML efforts, it’s not the only open-source ML training library. In recent years the open-source PyTorch framework, ...

Huawei has announced that its framework for AI app development MindSpore is now open source and available on GiHub and Gitee. The lightweight suite is similar to Google's TensorFlow and Facebook's ...