Optimize a DenseNet-169 FP32 Inference Model Package with TensorFlow*

ID 672083
Updated 12/9/2020
Version Latest



Download Command

wget https://storage.googleapis.com/intel-optimized-tensorflow/models/v2_3_0/densenet169-fp32-inference.tar.gz


This document has instructions for running DenseNet-169 FP32 inference using Intel® Optimization for TensorFlow*.

Download and preprocess the ImageNet dataset using the instructions. After running the conversion script you should have a directory with the ImageNet dataset in the TF records format.

Set the DATASET_DIR to point to this directory when running DenseNet-169 .

Quick Start Scripts

Script name Description
fp32_online_inference Runs online inference (batch_size=1).
fp32_batch_inference Runs batch inference (batch_size=100).
fp32_accuracy Measures the model accuracy (batch_size=100).

Bare Metal

To run on bare metal, the following prerequisites must be installed in your environment:

Download and untar the model package. Set environment variables for the path to your DATASET_DIR and an OUTPUT_DIR where log files will be written, then run a quick start script.

DATASET_DIR=<path to the dataset>
OUTPUT_DIR=<directory where log files will be written>

wget https://storage.googleapis.com/intel-optimized-tensorflow/models/v2_3_0/densenet169-fp32-inference.tar.gz
tar -xzf densenet169-fp32-inference.tar.gz
cd densenet169-fp32-inference

quickstart/<script name>.sh


Documentation and Sources

Get Started
Main GitHub*
Release Notes
Get Started Guide

Code Sources
Report Issue


License Agreement

LEGAL NOTICE: By accessing, downloading or using this software and any required dependent software (the “Software Package”), you agree to the terms and conditions of the software license agreements for the Software Package, which may also include notices, disclaimers, or license terms for third party software included with the Software Package. Please refer to the license file for additional details.

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