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IPU TensorFlow Serving 1 User Guide
Version: latest
  • 1. Introduction
  • 2. Environment setup
    • 2.1. Enable Poplar SDK
    • 2.2. Create and enable a Python virtual environment
    • 2.3. Install the TensorFlow 1 for IPU wheels and validate (optional)
    • 2.4. Install TensorFlow Serving API
  • 3. Exporting and deploying a model
    • 3.1. Creating and training a model
    • 3.2. Exporting model for TensorFlow Serving
    • 3.3. Structure of the SavedModel directory
    • 3.4. Launching TensorFlow Serving for IPU
    • 3.5. Sending requests to TensorFlow Serving
      • 3.5.1. Using gRPC API
      • 3.5.2. Using REST API
  • 4. Legal notices
IPU TensorFlow Serving 1 User Guide

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4. Legal notices

Graphcloud®, Graphcore®, Poplar® and PopVision® are registered trademarks of Graphcore Ltd.

Bow™, Bow-2000™, Bow Pod™, Colossus™, In-Processor-Memory™, IPU-Core™, IPU-Exchange™, IPU-Fabric™, IPU-Link™, IPU-M2000™, IPU-Machine™, IPU-POD™, IPU-Tile™, PopART™, PopDist™, PopLibs™, PopRun™, PopTorch™, Streaming Memory™ and Virtual-IPU™ are trademarks of Graphcore Ltd.

All other trademarks are the property of their respective owners.

This software is made available under the terms of the Graphcore End User License Agreement (EULA) and the Graphcore Container License Agreement. Please ensure you have read and accept the terms of the corresponding license before using the software. The Graphcore EULA applies unless indicated otherwise.

Copyright © 2022 Graphcore Ltd. All rights reserved.

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Revision a4da2032.

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