--- title: PyTorch and MLX for Apple Silicon | daily.dev description: Comparing and implementing a convolutional neural network using PyTorch and MLX for Apple Silicon. The MLX version of the code is almost identical to the... canonical: https://daily.dev/posts/pytorch-and-mlx-for-apple-silicon-3carjhf1x twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: PyTorch and MLX for Apple Silicon | daily.dev og:description: Comparing and implementing a convolutional neural network using PyTorch and MLX for Apple Silicon. The MLX version of the code is almost identical to the... og:url: https://daily.dev/posts/pytorch-and-mlx-for-apple-silicon-3carjhf1x og:image: https://api.daily.dev/og/posts/3cARJhf1x.png og:image:alt: PyTorch and MLX for Apple Silicon og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # PyTorch and MLX for Apple Silicon **[Medium](https://daily.dev/sources/medium_js)** · 9 min read · 4 upvotes · 0 comments ## Summary Comparing and implementing a convolutional neural network using PyTorch and MLX for Apple Silicon. The MLX version of the code is almost identical to the PyTorch version with a few differences. MLX has interesting properties like the use of the 'Array' class, lazy computation, and compilation for optimizing function execution. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: --- Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#performance](https://daily.dev/tags/performance), [#pytorch](https://daily.dev/tags/pytorch) [View this post on daily.dev](https://daily.dev/posts/pytorch-and-mlx-for-apple-silicon-3carjhf1x) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"PyTorch and MLX for Apple Silicon","url":"https://daily.dev/posts/pytorch-and-mlx-for-apple-silicon-3carjhf1x","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/pytorch-and-mlx-for-apple-silicon-3carjhf1x"},"datePublished":"2024-03-09T16:33:27.376Z","dateModified":"2024-05-09T09:28:05.588Z","description":"Comparing and implementing a convolutional neural network using PyTorch and MLX for Apple Silicon. The MLX version of the code is almost identical to the...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/15d2b44cbc43fca0f8588f3c923e186b?_a=AQAEufR","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/15d2b44cbc43fca0f8588f3c923e186b?_a=AQAEufR","isAccessibleForFree":true,"articleSection":"Medium","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Medium","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/medium","url":"https://daily.dev/sources/medium_js"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/pytorch-and-mlx-for-apple-silicon-3carjhf1x","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":4},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"machine-learning,performance,pytorch","timeRequired":"PT9M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Medium","item":"https://daily.dev/sources/medium_js"},{"@type":"ListItem","position":3,"name":"PyTorch and MLX for Apple Silicon"}]} ```