| .. 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. |
| |
| Compression |
| =========== |
| The following tutorials will help you learn how to use compression techniques with MXNet. |
| |
| .. container:: cards |
| |
| .. card:: |
| :title: Compression: float16 |
| :link: https://mxnet.apache.org/api/faq/float16 |
| |
| How to use float16 in your model to boost training speed. |
| |
| .. card:: |
| :title: Gradient Compression |
| :link: https://mxnet.apache.org/api/faq/gradient_compression |
| |
| How to use gradient compression to reduce communication bandwidth and increase speed. |
| |
| .. card:: |
| :title: Inference with Quantized Models |
| :link: https://gluon-cv.mxnet.io/build/examples_deployment/int8_inference.html |
| |
| How to use quantized GluonCV models for inference on Intel Xeon Processors to gain higher performance. |
| |
| .. card:: |
| :title: Compression: int8 |
| :link: int8.html |
| |
| How to use int8 in your model to boost training speed. |
| |
| |
| .. toctree:: |
| :hidden: |
| :glob: |
| |
| * |
| Float16 <https://mxnet.apache.org/api/faq/float16> |
| Gradient Compression <https://mxnet.apache.org/api/faq/gradient_compression> |
| GluonCV with Quantized Models <https://gluon-cv.mxnet.io/build/examples_deployment/int8_inference.html> |
