Qualcomm Developer Network | AI Model Efficiency Toolkit (AIMET) Channel Pruning compression @QualcommDeveloper | Uploaded 1 month ago | Updated 1 hour ago
Dive into the world of AI model optimization with this insightful tutorial on the AI Model Efficiency Toolkit (AIMET), presented by Abi Cob from Qualcomm AI Research. This session focuses on the powerful Spatial SVD model compression feature, designed to help developers reduce the computational demands and memory footprint of their machine learning models.
In this video, you will learn:
Introduction to AIMET and Model Compression - Abi Cob introduces AIMET, an open-source library aimed at enhancing AI model efficiency. Understand the basics of model compression and how it can significantly reduce a model's size in memory or compute.
Spatial SVD Tensor Decomposition Technique - Explore how the Spatial SVD technique works specifically with convolutional layers, transforming one layer into two smaller, more efficient layers. Learn about the changes in input and output channels and kernel dimensions during the decomposition process.
Automatic Compression Ratio Selection - Discover how AIMET facilitates both manual and automatic compression ratio selections, with a focus on the automatic method known as greedy compression ratio selection. This method optimizes compression for each layer based on a systematic evaluation dictionary and greedy search.
This tutorial is perfect for AI developers and researchers eager to apply advanced compression techniques to their models. If you're looking to improve your model's performance and efficiency, this video will provide you with the necessary tools and knowledge.
We encourage you to explore other videos in the series to gain more insights into AIMET's capabilities and applications.
Thank you for watching! Get started with AIMET today: qualcomm.com/developer/software/ai-model-efficiency-toolkit
AIMET Github: github.com/quic/aimet
Subscribe: More QDN videos: http://tinyurl.com/2p8xmcw6
Do you have technical questions? Join our developer community at Discord: discord.gg/THUPBtskgs
ABOUT Qualcomm Developer Network (QDN) is a comprehensive program designed to equip the next generation of mobile pioneers to develop what’s next. Our collection of software and hardware tools and resources is designed so you can build upon our foundational technologies in new and innovative ways, creating the power to build products, enrich lives and even transform entire industries. At Qualcomm Developer Network, we aim to help you kickstart your development by being the catalyst for your vision, today, tomorrow, and in the future.
Dive into the world of AI model optimization with this insightful tutorial on the AI Model Efficiency Toolkit (AIMET), presented by Abi Cob from Qualcomm AI Research. This session focuses on the powerful Spatial SVD model compression feature, designed to help developers reduce the computational demands and memory footprint of their machine learning models.
In this video, you will learn:
Introduction to AIMET and Model Compression - Abi Cob introduces AIMET, an open-source library aimed at enhancing AI model efficiency. Understand the basics of model compression and how it can significantly reduce a model's size in memory or compute.
Spatial SVD Tensor Decomposition Technique - Explore how the Spatial SVD technique works specifically with convolutional layers, transforming one layer into two smaller, more efficient layers. Learn about the changes in input and output channels and kernel dimensions during the decomposition process.
Automatic Compression Ratio Selection - Discover how AIMET facilitates both manual and automatic compression ratio selections, with a focus on the automatic method known as greedy compression ratio selection. This method optimizes compression for each layer based on a systematic evaluation dictionary and greedy search.
This tutorial is perfect for AI developers and researchers eager to apply advanced compression techniques to their models. If you're looking to improve your model's performance and efficiency, this video will provide you with the necessary tools and knowledge.
We encourage you to explore other videos in the series to gain more insights into AIMET's capabilities and applications.
Thank you for watching! Get started with AIMET today: qualcomm.com/developer/software/ai-model-efficiency-toolkit
AIMET Github: github.com/quic/aimet
Subscribe: More QDN videos: http://tinyurl.com/2p8xmcw6
Do you have technical questions? Join our developer community at Discord: discord.gg/THUPBtskgs
ABOUT Qualcomm Developer Network (QDN) is a comprehensive program designed to equip the next generation of mobile pioneers to develop what’s next. Our collection of software and hardware tools and resources is designed so you can build upon our foundational technologies in new and innovative ways, creating the power to build products, enrich lives and even transform entire industries. At Qualcomm Developer Network, we aim to help you kickstart your development by being the catalyst for your vision, today, tomorrow, and in the future.
