bgawrych commented on a change in pull request #19587: URL: https://github.com/apache/incubator-mxnet/pull/19587#discussion_r539946173
########## File path: example/quantization/README.md ########## @@ -0,0 +1,194 @@ +<!--- Licensed to the Apache Software Foundation (ASF) under one --> +<!--- or more contributor license agreements. See the NOTICE file --> +<!--- distributed with this work for additional information --> +<!--- regarding copyright ownership. The ASF licenses this file --> +<!--- to you under the Apache License, Version 2.0 (the --> +<!--- "License"); you may not use this file except in compliance --> +<!--- with the License. You may obtain a copy of the License at --> +<!--- --> +<!--- http://www.apache.org/licenses/LICENSE-2.0 --> +<!--- --> +<!--- Unless required by applicable law or agreed to in writing, --> +<!--- software distributed under the License is distributed on an --> +<!--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY --> +<!--- KIND, either express or implied. See the License for the --> +<!--- specific language governing permissions and limitations --> +<!--- under the License. --> + +# Model Quantization with Calibration Examples + +This folder contains examples of quantizing a FP32 model with Intel® oneAPI Deep Neural Network Library (oneDNN) to (U)INT8 model. + +<h2 id="0">Contents</h2> + +* [1. Model Quantization with Intel® oneDNN](#1) +<h2 id="1">Model Quantization with Intel® oneDNN</h2> + +Intel® oneDNN supports quantization with subgraph features on Intel® CPU Platform and can bring performance improvements on the [Intel® Xeon® Scalable Platform](https://www.intel.com/content/www/us/en/processors/xeon/scalable/xeon-scalable-platform.html). To apply quantization flow to your project directly, please refer [Optimize custom models with oneDNN backend](#TODO(agrygielski)). Review comment: Removed - we will add link to article once it will be published ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected]
