[incubator-mxnet] branch master updated: fixed broken links on master (#8879)

[jx...@apache.org]

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jxie 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 6d6c4ea  fixed broken links on master (#8879)
6d6c4ea is described below

commit 6d6c4eac3161253678845cf37ead8893976eb8fe
Author: thinksanky <31...@users.noreply.github.com>
AuthorDate: Wed Nov 29 23:25:17 2017 -0800

    fixed broken links on master (#8879)
---
 docs/faq/model_parallel_lstm.md | 4 ++--
 docs/install/index.md           | 2 +-
 docs/install/windows_setup.md   | 2 +-
 3 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/docs/faq/model_parallel_lstm.md b/docs/faq/model_parallel_lstm.md
index 3aab7d3..4a02288 100644
--- a/docs/faq/model_parallel_lstm.md
+++ b/docs/faq/model_parallel_lstm.md
@@ -25,7 +25,7 @@ for [natural language translation](https://arxiv.org/pdf/1409.0473.pdf), [speech
 and working with [time series data](https://arxiv.org/abs/1511.03677).
 For a general high-level introduction to LSTMs,
 see the excellent [tutorial](http://colah.github.io/posts/2015-08-Understanding-LSTMs/) by Christopher Olah. For a working example of LSTM training with model parallelism,
-see [example/model-parallelism-lstm/](https://github.com/dmlc/mxnet/blob/master/example/model-parallel-lstm/lstm.py).
+see [example/model-parallelism-lstm/](https://github.com/dmlc/mxnet/blob/master/example/model-parallel/lstm/lstm.py).
 
 
 ## Model Parallelism: Using Multiple GPUs As a Pipeline
@@ -44,7 +44,7 @@ This differs significantly from data parallelism.
 Here, there is no contention to update the shared model at the end of each iteration,
 and most of the communication happens when passing intermediate results between GPUs.
 
-In the current implementation, the layers are defined in [lstm_unroll()](https://github.com/dmlc/mxnet/blob/master/example/model-parallel-lstm/lstm.py).
+In the current implementation, the layers are defined in [lstm_unroll()](https://github.com/dmlc/mxnet/blob/master/example/model-parallel/lstm/lstm.py).
 
 ## Workload Partitioning
 
diff --git a/docs/install/index.md b/docs/install/index.md
index dc195fa..24d6aee 100644
--- a/docs/install/index.md
+++ b/docs/install/index.md
@@ -1508,7 +1508,7 @@ These commands produce a library called ```mxnet.dll``` in the ```./build/Releas
 
 &nbsp;
 Next, we install ```graphviz``` library that we use for visualizing network graphs you build on MXNet. We will also install [Jupyter Notebook](http://jupyter.readthedocs.io/)  used for running MXNet tutorials and examples.
-- Install ```graphviz``` by downloading MSI installer from [Graphviz Download Page](http://www.graphviz.org/Download_windows.php).
+- Install ```graphviz``` by downloading MSI installer from [Graphviz Download Page](https://graphviz.gitlab.io/_pages/Download/Download_windows.html).
 **Note** Make sure to add graphviz executable path to PATH environment variable. Refer [here for more details](http://stackoverflow.com/questions/35064304/runtimeerror-make-sure-the-graphviz-executables-are-on-your-systems-path-aft)
 
 
diff --git a/docs/install/windows_setup.md b/docs/install/windows_setup.md
index b0d13c3..bf1673a 100755
--- a/docs/install/windows_setup.md
+++ b/docs/install/windows_setup.md
@@ -41,7 +41,7 @@ These commands produce a library called ```mxnet.dll``` in the ```./build/Releas
 
 &nbsp;
 Next, we install ```graphviz``` library that we use for visualizing network graphs you build on MXNet. We will also install [Jupyter Notebook](http://jupyter.readthedocs.io/)  used for running MXNet tutorials and examples.
-- Install ```graphviz``` by downloading MSI installer from [Graphviz Download Page](http://www.graphviz.org/Download_windows.php).
+- Install ```graphviz``` by downloading MSI installer from [Graphviz Download Page](https://graphviz.gitlab.io/_pages/Download/Download_windows.html).
 **Note** Make sure to add graphviz executable path to PATH environment variable. Refer [here for more details](http://stackoverflow.com/questions/35064304/runtimeerror-make-sure-the-graphviz-executables-are-on-your-systems-path-aft)
 - Install ```Jupyter``` by installing [Anaconda for Python 2.7](https://www.continuum.io/downloads)
 **Note** Do not install Anaconda for Python 3.5. MXNet has few compatibility issue with Python 3.5.

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