{"id":2802,"date":"2018-05-02T00:00:00","date_gmt":"2018-05-02T00:00:00","guid":{"rendered":"https:\/\/azure.microsoft.com\/blog\/microsoft-extends-ai-support-to-pytorch-1-0-deep-learning-framework"},"modified":"2023-05-11T15:40:01","modified_gmt":"2023-05-11T22:40:01","slug":"microsoft-extends-ai-support-to-pytorch-1-0-deep-learning-framework","status":"publish","type":"post","link":"https:\/\/azure.microsoft.com\/en-us\/blog\/microsoft-extends-ai-support-to-pytorch-1-0-deep-learning-framework\/","title":{"rendered":"Microsoft extends AI support to PyTorch 1.0 deep learning framework"},"content":{"rendered":"<p>Today Microsoft is announcing the support for PyTorch 1.0 in <a href=\"https:\/\/azure.microsoft.com\/en-us\/services\/machine-learning-services\/\" target=\"_blank\" rel=\"noopener\">Azure Machine Learning Services<\/a> and <a href=\"https:\/\/azure.microsoft.com\/en-us\/services\/virtual-machines\/data-science-virtual-machines\/\" target=\"_blank\" rel=\"noopener\">Data Science Virtual Machine<\/a>.<\/p>\n<p>PyTorch 1.0 takes the modular, production-oriented capabilities from Caffe2 and ONNX and combines them with PyTorch&#039;s existing flexible, research-focused design to provide a fast, seamless path from research prototyping to production deployment for a broad range of AI projects. With PyTorch 1.0, AI developers can both experiment rapidly and optimize performance through a hybrid front end that seamlessly transitions between imperative and declarative execution modes. Data Scientists can develop models in PyTorch 1.0, which are saved in ONNX as the native format and directly use them in applications built on Windows ML and other platforms that support <a href=\"https:\/\/onnx.ai\/\" target=\"_blank\" rel=\"noopener\">ONNX<\/a>.<\/p>\n<p>At Microsoft we believe bringing AI advances to all developers, on any platform, using any language, in an open and interoperable AI ecosystem, will help ensure AI is more accessible and valuable to all. Microsoft\u2019s support for ONNX is an example of this \u2013 ONNX allows developers to choose the right framework for their task, framework authors can focus on innovative enhancements, and hardware vendors can streamline optimizations.<\/p>\n<p>Azure Machine Learning Services provides support for a variety of frameworks including TensorFlow, Microsoft Cognitive Toolkit, and soon PyTorch 1.0 is another example. Azure infrastructure services, of course, lets you use any framework, even beyond this list because it is an open compute fabric with cutting edge hardware like the latest GPUs. Microsoft is also deeply engaged in the AI Open Source community with <a href=\"https:\/\/github.com\/Microsoft\/vscode-tools-for-ai\" target=\"_blank\" rel=\"noopener\">Visual Studio Code Tools for AI<\/a>,\u00a0 Microsoft <a href=\"https:\/\/github.com\/Microsoft\/CNTK\" target=\"_blank\" rel=\"noopener\">Cognitive Toolkit<\/a> and <a href=\"https:\/\/github.com\/onnx\/onnx\" target=\"_blank\" rel=\"noopener\">ONNX<\/a> to provide transparency, faster innovation and interoperability.<\/p>\n<p>To learn more about Microsoft\u2019s Azure AI Platform visit <a href=\"https:\/\/azure.com\/ai\">https:\/\/azure.com\/ai<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Today Microsoft is announcing the support for PyTorch 1.0 in Azure Machine Learning Services and Data Science Virtual Machine. PyTorch 1.<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"ms_queue_id":[],"ep_exclude_from_search":false,"_classifai_error":"","_classifai_text_to_speech_error":"","_alt_title":"","footnotes":"","msx_community_cta_settings":[]},"categories":[1454],"tags":[],"audience":[3057,3055,3056],"content-type":[1465],"product":[1493],"tech-community":[],"topic":[],"coauthors":[97],"class_list":["post-2802","post","type-post","status-publish","format-standard","hentry","category-ai-machine-learning","audience-data-professionals","audience-developers","audience-it-implementors","content-type-announcements","product-azure-machine-learning"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Microsoft extends AI support to PyTorch 1.0 deep learning framework | Microsoft Azure Blog<\/title>\n<meta name=\"description\" content=\"Today Microsoft is announcing the support for PyTorch 1.0 in Azure Machine Learning Services and Data Science Virtual Machine. 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