When using the PyTorch neural network library to create a machine learning prediction model, you must prepare the training data and write code to serve up the data in batches. In situations where the ...

In order to train a PyTorch neural network you must write code to read training data into memory, convert the data to PyTorch tensors, and serve the data up in batches. This task is not trivial and is ...

Hybrid cloud data management firm Cloudian Inc. today announced the availability of its new PyTorch connector with Remote Direct Memory Access support that delivers erformance improvements for ...

Researchers have discovered a critical flaw in PyTorch’s distributed RPC system, allowing attackers to execute arbitrary commands on the OS and steal AI training data. Popular machine learning ...