NCF FP32 Inference Tensorflow* Model Package

Download Command

wget https://storage.googleapis.com/intel-optimized-tensorflow/models/v2_0/resnet50v1-5-fp32-inference.tar.gz

Description

Download movielens 1M dataset

wget http://files.grouplens.org/datasets/movielens/ml-1m.zip
unzip ml-1m.zip

Set the DATASET_DIR to point to this directory when running NCF.

Quick Start Scripts

Script name Description
fp32_online_inference.sh Runs online inference (batch_size=1).
fp32_batch_inference.sh Runs batch inference (batch_size=256).
fp32_accuracy.sh Measures the model accuracy (batch_size=256).

Bare Metal

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

  • Python* 3
  • intel-tensorflow
  • numactl
  • google-api-python-client==1.6.7
  • google-cloud-bigquery==0.31.0
  • kaggle==1.3.9
  • numpy==1.16.1
  • oauth2client==4.1.2
  • pandas psutil==5.4.3
  • py-cpuinfo==3.3.0
  • typing
  • TensorFlow* models, clone the official tensorflow/models repository with tag v1.11:
git clone https://github.com/tensorflow/models.git tf_models
cd tf_models
git checkout v1.11

After installing the prerequisites, 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 quickstart script.

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

wget https://storage.googleapis.com/intel-optimized-tensorflow/models/v2_0_0/ncf-fp32-inference.tar.gz
tar -xzf ncf-fp32-inference.tar.gz
cd ncf-fp32-inference

quickstart/<script name>.sh

Documentation and Sources

Get Started​
Main GitHub
Readme
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.


Related Containers and Solutions

NCF FP32 Inference TensorFlow* Container

Product and Performance Information

1

Intel's compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSSE3 instruction sets and other optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice.

Notice revision #20110804