{"id":5392,"date":"2024-03-14T02:47:01","date_gmt":"2024-03-14T02:47:01","guid":{"rendered":"https:\/\/www.silicloud.com\/blog\/how-to-perform-model-quantization-in-pytorch-2\/"},"modified":"2025-08-01T14:30:27","modified_gmt":"2025-08-01T14:30:27","slug":"how-to-perform-model-quantization-in-pytorch-2","status":"publish","type":"post","link":"https:\/\/www.silicloud.com\/blog\/how-to-perform-model-quantization-in-pytorch-2\/","title":{"rendered":"PyTorch Model Quantization Guide"},"content":{"rendered":"<p>One option could be: &#8220;For model quantization in PyTorch, you can utilize the functionalities provided by the torch.quantization module. Here is a simple example code.&#8221;<\/p>\n<pre class=\"post-pre\"><code>\r\n<span class=\"hljs-keyword\">import<\/span> torch\r\n<span class=\"hljs-keyword\">import<\/span> torchvision\r\n<span class=\"hljs-keyword\">from<\/span> torch.quantization <span class=\"hljs-keyword\">import<\/span> QuantStub, DeQuantStub, quantize, prepare, convert\r\n\r\n<span class=\"hljs-comment\"># \u5b9a\u4e49\u4e00\u4e2a\u793a\u4f8b\u6a21\u578b<\/span>\r\nmodel = torchvision.models.resnet18()\r\n\r\n<span class=\"hljs-comment\"># \u521b\u5efaQuantStub\u548cDeQuantStub\u5bf9\u8c61<\/span>\r\nquant_stub = QuantStub()\r\ndequant_stub = DeQuantStub()\r\n\r\n<span class=\"hljs-comment\"># \u5c06\u6a21\u578b\u548c\u91cf\u5316\/\u53cd\u91cf\u5316\u5c42\u5305\u88c5\u5728prepare\u4e2d<\/span>\r\nmodel = torch.nn.Sequential(quant_stub, model, dequant_stub)\r\n\r\n<span class=\"hljs-comment\"># \u51c6\u5907\u6a21\u578b\u8fdb\u884c\u91cf\u5316<\/span>\r\nmodel.qconfig = torch.quantization.get_default_qconfig(<span class=\"hljs-string\">'fbgemm'<\/span>)\r\nmodel_prepared = prepare(model)\r\n\r\n<span class=\"hljs-comment\"># \u91cf\u5316\u6a21\u578b<\/span>\r\nquantized_model = quantize(model_prepared)\r\n\r\n<span class=\"hljs-comment\"># \u5c06\u91cf\u5316\u6a21\u578b\u8f6c\u6362\u4e3aeval\u6a21\u5f0f<\/span>\r\nquantized_model.<span class=\"hljs-built_in\">eval<\/span>()\r\n\r\n<span class=\"hljs-comment\"># \u8bc4\u4f30\u91cf\u5316\u6a21\u578b<\/span>\r\n<span class=\"hljs-comment\"># ...<\/span>\r\n\r\n<\/code><\/pre>\n<p>In the above code, we first create an instance of a model (using a pre-trained ResNet-18 model), then we create QuantStub and DeQuantStub objects, and wrap the model and these two stub objects in a Sequential module.<\/p>\n<p>Next, we use the prepare function to prepare the model for quantization, specifying the quantization configuration. Then we call the quantize function to quantize the model. Finally, we convert the quantized model to eval mode and can use it for evaluation.<\/p>\n<p>Please note that quantization models may lose some accuracy, but can significantly reduce the storage space and computational load of a model, making them suitable for deployment in resource-limited environments.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>One option could be: &#8220;For model quantization in PyTorch, you can utilize the functionalities provided by the torch.quantization module. Here is a simple example code.&#8221; import torch import torchvision from torch.quantization import QuantStub, DeQuantStub, quantize, prepare, convert # \u5b9a\u4e49\u4e00\u4e2a\u793a\u4f8b\u6a21\u578b model = torchvision.models.resnet18() # \u521b\u5efaQuantStub\u548cDeQuantStub\u5bf9\u8c61 quant_stub = QuantStub() dequant_stub = DeQuantStub() # \u5c06\u6a21\u578b\u548c\u91cf\u5316\/\u53cd\u91cf\u5316\u5c42\u5305\u88c5\u5728prepare\u4e2d model = torch.nn.Sequential(quant_stub, [&hellip;]<\/p>\n","protected":false},"author":12,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_import_markdown_pro_load_document_selector":0,"_import_markdown_pro_submit_text_textarea":"","footnotes":""},"categories":[1],"tags":[2440,960,75,5760,1239],"class_list":["post-5392","post","type-post","status-publish","format-standard","hentry","category-uncategorized","tag-ai-optimization","tag-deep-learning","tag-machine-learning","tag-model-quantization","tag-pytorch"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.5 (Yoast SEO v21.5) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>PyTorch Model Quantization Guide - Blog - Silicon Cloud<\/title>\n<meta name=\"description\" content=\"Learn how to perform model quantization in PyTorch with our step-by-step guide. 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