TorchServe
TorchServe is an open-source model serving framework developed by PyTorch, designed to simplify the deployment of machine learning models in production environments. It allows users to serve PyTorch models as APIs, enabling easy integration into applications. With TorchServe, developers can manage model versions, monitor performance, and handle requests efficiently. The framework supports various functionalities, including default handlers for common tasks, custom handlers for specialized needs, and built-in metrics for monitoring. By streamlining the process of serving models, TorchServe enhances the scalability and maintainability of machine learning applications.
Serving ML Models with TorchServe
A complete end-to-end example of serving an ML model for image classification task Image by author Motivation This post will walk you through a process of serving your deep learning Torch model with ...
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Serving PyTorch models with TorchServe 🔥
TorchServe is the ML model serving framework developed by PyTorch. This post explains how to train and serve a CNN transfer learning model.
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TorchServe & Flask for Image Style Transfer
An example of web app backed by TorchServe model server Image by author. Exposing an ML model as decoupled model server is way more scalable, extensible and maintainable pattern. In the previous post...
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Deploy models and create custom handlers in Torchserve 🚀
In this tutorial we will deploy deep learning models in PyTorch using TorchServe
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TorchScript
Creating TorchScript Code Mixing Tracing and Scripting TorchScript Language Built-in Functions and Modules PyTorch Functions and Modules Python Functions and Modules Python Language Reference Comparis...
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torch.orgqr
Alias for torch.linalg.householder_product() .
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TorchScript for Deployment
TorchScript for Deployment Created On: May 04, 2020 | Last Updated: Dec 02, 2024 | Last Verified: Nov 05, 2024 Warning TorchScript is no longer in active development. In this recipe, you will learn: W...
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torch.pinverse
Alias for torch.linalg.pinv()
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TorchScript for Deployment
TorchScript for Deployment In this recipe, you will learn: What TorchScript is How to export your trained model in TorchScript format How to load your TorchScript model in C++ and do inference Require...
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torch.det
Alias for torch.linalg.det()
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Serving a PyTorch Model with FastAPI and Docker
Member-only story Serving a PyTorch Model with FastAPI and Docker Learn how to develop a complete Machine Learning Service Marcello Politi · Follow Published in Towards AI · 8 min read · Just now -- S...
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Exploring TorchRe-ID — a Person Re-identification based Python Library.
Exploring TorchRe-ID — a Person Re-identification-based Python Library. Introduction Person re-identification (re-ID) is a crucial task in computer vision and has numerous applications in surveillanc...
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