[incubator-mxnet] branch master updated: use relative links; update links (#13741)

[aa...@apache.org]

This is an automated email from the ASF dual-hosted git repository.

aaronmarkham pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git


The following commit(s) were added to refs/heads/master by this push:
     new e30d973  use relative links; update links (#13741)
e30d973 is described below

commit e30d9733214dde84e1c01c00ff2664283d435588
Author: Aaron Markham <ma...@amazon.com>
AuthorDate: Thu Jan 3 07:59:36 2019 +0100

    use relative links; update links (#13741)
---
 docs/faq/index.md | 44 ++++++++++++++++++++++----------------------
 1 file changed, 22 insertions(+), 22 deletions(-)

diff --git a/docs/faq/index.md b/docs/faq/index.md
index 1b4a95d..fe91f7c 100644
--- a/docs/faq/index.md
+++ b/docs/faq/index.md
@@ -15,72 +15,72 @@ and full working examples, visit the [tutorials section](../tutorials/index.md).
 
 ## API
 
-* [What's the difference between the Module and Gluon APIs for Python?](http://mxnet.io/api/python/index.html)
+* [What's the difference between the Module and Gluon APIs for Python?](../api/python/index.html)
 
 ## Modeling
-* [How do I fine-tune pre-trained models to a new dataset?](http://mxnet.io/faq/finetune.html)
+* [How do I fine-tune pre-trained models to a new dataset?](finetune.html)
 
-* [How do I work with variable-length input in MXNet (bucketing)?](http://mxnet.io/faq/bucketing.html)
+* [How do I work with variable-length input in MXNet (bucketing)?](bucketing.html)
 
-* [How do I visualize neural networks as computation graphs?](http://mxnet.io/faq/visualize_graph.html)
+* [How do I visualize neural networks as computation graphs?](visualize_graph.html)
 
 
 ## Scale
-* [How can I train with multiple CPU/GPUs on a single machine with data parallelism?](http://mxnet.io/faq/multi_devices.html)
+* [How can I train with multiple CPU/GPUs on a single machine with data parallelism?](multi_devices.html)
 
-* [How can I train using multiple machines with data parallelism?](http://mxnet.io/faq/distributed_training.html)
+* [How can I train using multiple machines with data parallelism?](distributed_training.html)
 
-* [How can I train using multiple GPUs with model parallelism?](http://mxnet.io/faq/model_parallel_lstm.html)
+* [How can I train using multiple GPUs with model parallelism?](model_parallel_lstm.html)
 
 
 ## Speed
-* [How do I use gradient compression with distributed training?](http://mxnet.io/faq/gradient_compression.html)
+* [How do I use gradient compression with distributed training?](gradient_compression.html)
 
-* [Can I use nnpack to improve the CPU performance of MXNet?](http://mxnet.io/faq/nnpack.html)
+* [Can I use nnpack to improve the CPU performance of MXNet?](nnpack.html)
 
-* [What are the best setup and data-handling tips and tricks for improving speed?](http://mxnet.io/faq/perf.html)
+* [What are the best setup and data-handling tips and tricks for improving speed?](perf.html)
 
-* [How do I use mixed precision with MXNet or Gluon?](http://mxnet.io/faq/float16.html)
+* [How do I use mixed precision with MXNet or Gluon?](float16.html)
 
 ## Deployment Environments
-* [Can I run MXNet on smart or mobile devices?](http://mxnet.io/faq/smart_device.html)
+* [Can I run MXNet on smart or mobile devices?](smart_device.html)
 
 * [How to use data from S3 for training?](s3_integration.md)
 
-* [How to setup MXNet on AWS?](http://docs.aws.amazon.com/mxnet/latest/dg/mxnet-on-ec2-instance.html)
+* [How to run MXNet on AWS?](https://docs.aws.amazon.com/mxnet/latest/dg/whatis.html)
 
 * [How to do distributed training using MXNet on AWS?](http://docs.aws.amazon.com/mxnet/latest/dg/mxnet-on-ec2-cluster.html)
 
-* [How do I run MXNet on a Raspberry Pi for computer vision?](http://mxnet.io/tutorials/embedded/wine_detector.html)
+* [How do I run MXNet on a Raspberry Pi for computer vision?](../tutorials/embedded/wine_detector.html)
 
 * [How do I run Keras 2 with MXNet backend?](https://github.com/awslabs/keras-apache-mxnet/blob/master/docs/mxnet_backend/installation.md)
 
 * [How to convert MXNet models to Apple CoreML format?](https://github.com/apache/incubator-mxnet/tree/master/tools/coreml)
 
 ## Security
-* [How to run MXNet securely?](http://mxnet.io/faq/security.html)
+* [How to run MXNet securely?](security.html)
 
 ## Extend and Contribute to MXNet
 
-* [How do I join the MXNet development discussion?](http://mxnet.io/community/mxnet_channels.html)
+* [How do I join the MXNet development discussion?](../community/mxnet_channels.html)
 
-* [How do I contribute a patch to MXNet?](http://mxnet.io/community/contribute.html)
+* [How do I contribute a patch to MXNet?](../community/contribute.html)
 
-* [How do I implement operators in MXNet backend?](http://mxnet.io/faq/add_op_in_backend.html)
+* [How do I implement operators in MXNet backend?](add_op_in_backend.html)
 
-* [How do I create new operators in MXNet?](http://mxnet.io/faq/new_op.html)
+* [How do I create new operators in MXNet?](new_op.html)
 
 * [How do I implement sparse operators in MXNet backend?](https://cwiki.apache.org/confluence/display/MXNET/A+Guide+to+Implementing+Sparse+Operators+in+MXNet+Backend)
 
 * [How do I contribute an example or tutorial?](https://github.com/apache/incubator-mxnet/tree/master/example#contributing)
 
-* [How do I set MXNet's environmental variables?](http://mxnet.io/faq/env_var.html)
+* [How do I set MXNet's environmental variables?](env_var.html)
 
 ## Questions about Using MXNet
 If you need help with using MXNet, have questions about applying it to a particular kind of problem, or have a discussion topic, please use our [forum](https://discuss.mxnet.io).
 
 ## Issue Tracker
-We track bugs and new feature requests in the MXNet Github repo in the issues folder: [mxnet/issues](https://github.com/dmlc/mxnet/issues).
+We track bugs and new feature requests in the MXNet Github repo in the issues folder: [mxnet/issues](https://github.com/apache/incubator-mxnet/issues).
 
 ## Roadmap
-MXNet is evolving fast. To see what's next and what we are working on internally, go to the [MXNet Roadmap](https://github.com/dmlc/mxnet/labels/Roadmap).
+MXNet is evolving fast. To see what's next and what we are working on internally, go to the [MXNet Roadmap](https://cwiki.apache.org/confluence/display/MXNET/MXNet+Roadmap).