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</div> </div> </div> <div class="devsite-article-meta nocontent" role="navigation"> <ul class="devsite-breadcrumb-list" aria-label="Breadcrumb"> <li class="devsite-breadcrumb-item "> <a href="https://ai.google.dev/" class="devsite-breadcrumb-link gc-analytics-event" data-category="Site-Wide Custom Events" data-label="Breadcrumbs" data-value="1" track-type="globalNav" track-name="breadcrumb" track-metadata-position="1" track-metadata-eventdetail="" > Home </a> </li> <li class="devsite-breadcrumb-item "> <div class="devsite-breadcrumb-guillemet material-icons" aria-hidden="true"></div> <a href="https://ai.google.dev/edge" class="devsite-breadcrumb-link gc-analytics-event" data-category="Site-Wide Custom Events" data-label="Breadcrumbs" data-value="2" track-type="globalNav" track-name="breadcrumb" track-metadata-position="2" track-metadata-eventdetail="Google AI Edge" > Google AI Edge </a> </li> <li class="devsite-breadcrumb-item "> <div class="devsite-breadcrumb-guillemet material-icons" 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tabindex="-1"> Model Explorer </h1> <devsite-feature-tooltip ack-key="AckCollectionsBookmarkTooltipDismiss" analytics-category="Site-Wide Custom Events" analytics-action-show="Callout Profile displayed" analytics-action-close="Callout Profile dismissed" analytics-label="Create Collection Callout" class="devsite-page-bookmark-tooltip nocontent" dismiss-button="true" id="devsite-collections-dropdown" dismiss-button-text="Dismiss" close-button-text="Got it"> <devsite-bookmark></devsite-bookmark> <span slot="popout-heading"> Stay organized with collections </span> <span slot="popout-contents"> Save and categorize content based on your preferences. </span> </devsite-feature-tooltip> <div class="devsite-page-title-meta"><devsite-view-release-notes></devsite-view-release-notes></div> <devsite-toc class="devsite-nav" depth="2" devsite-toc-embedded > </devsite-toc> <div class="devsite-article-body clearfix "> <p><strong>A visualization tool that lets you analyze ML models and graphs, accelerating deployment to on-device targets.</strong></p> <p><a class="button button-primary" href="https://github.com/google-ai-edge/model-explorer/wiki/1.-Installation" target="_blank"> Get Started </a> <a class="button button-white" href="https://github.com/google-ai-edge/model-explorer/blob/main/example_colabs/quick_start.ipynb" target="_blank"> Try it in Colab </a> <a class="button button-white" href="https://github.com/google-ai-edge/model-explorer/" target="_blank"> Learn More </a></p> <p><img src="https://ai.google.dev/edge/images/gemma-2b-model-explorer-standalone.png" alt width="700px"></p> <h3 id="making_edge_development_faster" data-text="Making edge development faster" tabindex="-1">Making edge development faster</h3> <p>The constraints of edge devices often necessitate extra steps to convert and optimize models before they run efficiently, and visualization is one of the most effective ways to understand a model and identify targets for optimization.</p> <table> <thead> <tr> <th><b>Conversion</b></th> <th><b>Quantization</b></th> <th><b>Optimization</b></th> </tr> </thead> <tbody> <tr> <td>Model Explorer's side-by-side comparison feature makes it easier to spot conversion-related issues. Navigate the graph layer by layer, diving deeper into the graph by expanding and collapsing sections. Inspect the internal structure and connections within graphs at the granularity you need.</td> <td>Use Model Explorer to identify problematic operations affected by quantization. Sort ops by error metrics to find quality drops, get insights per layer, and compare different quantization results to find the ideal model size-quality trade-off.</td> <td>Use Model Explorer to better understand the output from your benchmarking and debugging tools. Gain insights into which ops can run on GPU, sort ops by latency, and compare per-op performance across accelerators.</td> </tr> </tbody> </table> <h3 id="support_for_large_models" data-text="Support for large models" tabindex="-1">Support for large models</h3> <p>Model Explorer is designed to render large models seamlessly. Thousands of nodes? No problem. The GPU-based rendering engine is capable of scaling up to smoothly render even very large models. And Model Explorer's unique approach to collapsing layers like a system of files and folders means that it's faster and easier to navigate.</p> <h3 id="features_designed_to_help_you_work_faster" data-text="Features designed to help you work faster" tabindex="-1">Features designed to help you work faster</h3> <table> <thead> <tr> <th> <b>Search</b> </th> <th> <b>Split View</b> </th> <th> <b>Data Overlays</b> </th> </tr> </thead> <tbody> <tr> <td>Powerful regex-based search helps you locate, filter, and highlight specific nodes.<br> <p><img src="https://ai.google.dev/edge/images/search.png"></p></td> <td>Load models side by side in the same tab for easy comparison.<br> <p><img src="https://ai.google.dev/edge/images/split-view.png"></p></td> <td>Load custom, node-specific data into Model Explorer to quickly identify hot spots and other issues with your model.<br> <p><img src="https://ai.google.dev/edge/images/data-overlays.png"></p></td> </tr> <tr> <th> <b>Export to .png</b> </th> <th> <b>Bookmarking</b> </th> <th> <b>Easy to access metadata</b> </th> </tr> <tr> <td>With the click of a button, export an image of the graph to share with your team.<br> <p><img src="https://ai.google.dev/edge/images/export.png"></p></td> <td>Save your location in the graph by adding bookmarks, making it easy to jump between areas.<br> <p><img src="https://ai.google.dev/edge/images/bookmarking.png"></p></td> <td>View tensor shapes, trace inputs and outputs, highlight identical layers, see child node counts, and more.<br> <p><img src="https://ai.google.dev/edge/images/metadata.png"></p> </td> </tr> </tbody> </table> <h3 id="two_ways_to_use_model_explorer" data-text="Two ways to use Model Explorer" tabindex="-1">Two ways to use Model Explorer</h3> <table> <thead> <tr> <th> <b>Run it locally</b> </th> <th> <b>Run it in a Colab notebook</b> </th> </tr> </thead> <tbody> <tr> <td>Follow the easy <a href="https://github.com/google-ai-edge/model-explorer/wiki/1.-Installation">installation instructions</a> on GitHub to set up Model Explorer on your local machine. It runs in a browser window and all your data stays local. Supports Linux, Mac and Windows.</td> <td>Model Explorer runs well in Colab, meaning you can integrate it into your existing model development workflow. Try the <a href="https://github.com/google-ai-edge/model-explorer/blob/main/example_colabs/quick_start.ipynb">demo notebook</a> or follow the <a href="https://github.com/google-ai-edge/model-explorer/wiki/5.-Run-in-Colab-Notebook">installation instructions</a> to add it to your own.</td> </tr> </tbody> </table> </div> <devsite-thumb-rating position="footer"> </devsite-thumb-rating> <devsite-feedback position="footer" project-name="Google AI Edge" product-id="5336252" bucket="documentation" context="" version="t-devsite-webserver-20241114-r00-rc02.464921008191574316" data-label="Send Feedback Button" track-type="feedback" track-name="sendFeedbackLink" track-metadata-position="footer" class="nocontent" project-icon="https://www.gstatic.com/devrel-devsite/prod/v870e399c64f7c43c99a3043db4b3a74327bb93d0914e84a0c3dba90bbfd67625/googledevai/images/touchicon-180-new.png" > <button> Send feedback </button> </devsite-feedback> <div class="devsite-floating-action-buttons"> </div> </article> <devsite-content-footer class="nocontent"> <p>Except as otherwise noted, the content of this page is licensed under the <a href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 License</a>, and code samples are licensed under the <a href="https://www.apache.org/licenses/LICENSE-2.0">Apache 2.0 License</a>. 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