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Deep Dive: Device Handling in Ivy - Tutorial 07

Offered By: Unify via YouTube

Tags

Machine Learning Courses Deep Learning Courses Neural Networks Courses TensorFlow Courses PyTorch Courses NumPy Courses GPU Computing Courses JAX Courses

Course Description

Overview

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Explore device handling policies in machine learning frameworks through this comprehensive 47-minute tutorial video. Dive into Ivy's efficient development, instant sharing, and optimal deployment of machine learning solutions. Learn about the handle_device_shifting decorator, device handling policies in other frameworks, and Ivy's approach. Gain insights into code implementation, Torch DefaultDevice, and ContextManager functions. Understand the goals and importance of device handling in AI development. Join the discussion on Discord for questions and improvements, and access additional resources in the documentation for a deeper understanding of Ivy's capabilities in deep learning and AI innovation.

Syllabus

Intro
Before Device Handling
Native Frameworks Device Handling Policy
Ivy's Device Handling Policy
Going Through The Code
Torch DefaultDevice and ContextManager functions
Goals' Summary


Taught by

Unify

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