Skip to main content

PyTorch Developer Day brings a number updates to the machine learning library

The PyTorch team is making a number of updates to support MLflow usage and provide support for mobile and ARM64 architecture. The team held its first PyTorch Developer Day yesterday to provide PyTorch developers with technical talks, project deep dives, and a networking event with the core PyTorch team and developers. 

Highlights from the event included: 

MLFlow + PyTorch
A number of announcements were made regarding end-to-end support for MLflow usage with PyTorch. These include support for autologging via PyTorch Lightning, TorchService integration through a new deployment plug-in, and a sample end-to-end workflow targeting HuggingFace Transformers. 

These additions were the result of a collaboration between Databricks and MLflow core maintainers and the PyTorch core development team at Facebook.

In the future, the teams plan on adding features such as end-to-end workflows for NLP and computer vision, support for hyperparameter optimization, programmatic interpretability using Captum, and support for a feature Store. 

PyTorch prototype features for mobile
The team has announced four new prototype features, three of which will enable mobile machine learning developers to execute models. New features include DSP and NPUs using the Android Neural Networks API (NNAPI), GPU execution on Android via Vulkan, and GPU execution on iOS via Metal.

The release also includes support for ARM64 builds for Linux. 

Android Neural Networks API 1.3 and PyTorch Mobile support
The Android Neural Networks API (NNAPI) is designed to allow for running computationally intensive operations for machine learning on Android devices. NNAPI 1.3 adds support for Quality of Service APIs, Memory Domains, and expanded quantization support. 

The team also announced PyTorch Neural Networks API support, which will allow developers to use hardware accelerated inference with PyTorch. This release also includes support for linear convolutional and multilayer perceptron models on Android 10 and higher. 

Future releases will include support for additional operators and model architectures, such as Mask R-CNN.

Facebook AI and OpenMined partner on PyTorch privacy and machine learning courses
The Private AI Series course is designed for all levels of expertise and will provide an overview of privacy-related technologies and how to implement and analyze them.

The two goals of the series are to provide broad awareness and education and to promote key machine learning technologies.  

The series will be broken into four courses: awareness, foundation, cross-enterprise statistics and federated learning, and federated statistics and learning on web and mobile. The first course will begin in January 2021. 

The post PyTorch Developer Day brings a number updates to the machine learning library appeared first on SD Times.



from SD Times https://ift.tt/3eZesUU
Labels:

Comments

Post a Comment

Popular posts from this blog

A guide to data integration tools

CData Software is a leader in data access and connectivity solutions. It specializes in the development of data drivers and data access technologies for real-time access to online or on-premise applications, databases and web APIs. The company is focused on bringing data connectivity capabilities natively into tools organizations already use. It also features ETL/ELT solutions, enterprise connectors, and data visualization. Matillion ’s data transformation software empowers customers to extract data from a wide number of sources, load it into their chosen cloud data warehouse (CDW) and transform that data from its siloed source state, into analytics-ready insights – prepared for advanced analytics, machine learning, and artificial intelligence use cases. Only Matillion is purpose-built for Snowflake, Amazon Redshift, Google BigQuery, and Microsoft Azure, enabling businesses to achieve new levels of simplicity, speed, scale, and savings. Trusted by companies of all sizes to meet...
1 comment
Read more

Olive and NTT DATA Join Forces to Accelerate the Global Development and Deployment of AI Solutions

U.S.A., March 14, 2021 — Olive , the automation company creating the Internet of Healthcare, today announced an alliance with NTT DATA , a global digital business and IT services leader. The collaboration will fast track the creation of new healthcare solutions to transform the health experience for humans — both in the traditional healthcare setting and at home. As a member of Olive’s Deploy, Develop and Distribute Partnership Programs , NTT DATA is leveraging Olive’s open platform to innovate, build and distribute solutions to Olive’s customers, which include some of the country’s largest health providers. Olive and NTT DATA will co-develop new Loops — applications that work on Olive’s platform to provide humans real-time intelligence — and new machine learning and robotic process automation (RPA) models. NTT DATA and Olive will devote an early focus to enabling efficiencies in supply chain and IT, with other disciplines to follow. “This is an exciting period of growth at Olive, so...
Post a Comment
Read more

2022: The year of hybrid work

Remote work was once considered a luxury to many, but in 2020, it became a necessity for a large portion of the workforce, as the scary and unknown COVID-19 virus sickened and even took the lives of so many people around the world.  Some workers were able to thrive in a remote setting, while others felt isolated and struggled to keep up a balance between their work and home lives. Last year saw the availability of life-saving vaccines, so companies were able to start having the conversation about what to do next. Should they keep everyone remote? Should they go back to working in the office full time? Or should they do something in between? Enter hybrid work, which offers a mix of the two. A Fall 2021 study conducted by Google revealed that over 75% of survey respondents expect hybrid work to become a standard practice within their organization within the next three years.  Thus, two years after the world abruptly shifted to widespread adoption of remote work, we are dec...
Post a Comment
Read more