[incubator-mxnet] branch master updated: mxent link fix (#8824)

[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 3226bce  mxent link fix (#8824)
3226bce is described below

commit 3226bce2c912bd0289be171c7025a6651e025407
Author: alues <al...@icloud.com>
AuthorDate: Tue Nov 28 01:07:00 2017 +0800

    mxent link fix (#8824)
    
    * mxent link fix
    
    * fix cd cmd
---
 docs/install/index.md | 26 +++++++++++++-------------
 1 file changed, 13 insertions(+), 13 deletions(-)

diff --git a/docs/install/index.md b/docs/install/index.md
index e0935c3..dc195fa 100644
--- a/docs/install/index.md
+++ b/docs/install/index.md
@@ -229,8 +229,8 @@ $ sudo apt-get install -y libopencv-dev
 **Step 4** Download MXNet sources and build MXNet core shared library.
 
 ```bash
-$ git clone --recursive https://github.com/dmlc/mxnet
-$ cd mxnet
+$ git clone --recursive https://github.com/apache/incubator-mxnet 
+$ cd incubator-mxnet
 $ make -j $(nproc) USE_OPENCV=1 USE_BLAS=openblas
 ```
 
@@ -457,8 +457,8 @@ $ sudo apt-get install -y libopencv-dev
 **Step 4** Download MXNet sources and build MXNet core shared library.
 
 ```bash
-$ git clone --recursive https://github.com/dmlc/mxnet
-$ cd mxnet
+$ git clone --recursive https://github.com/apache/incubator-mxnet
+$ cd incubator-mxnet
 $ make -j $(nproc) USE_OPENCV=1 USE_BLAS=openblas USE_CUDA=1 USE_CUDA_PATH=/usr/local/cuda USE_CUDNN=1
 ```
 
@@ -785,8 +785,8 @@ $ sudo apt-get install -y libopencv-dev
 **Step 4** Download MXNet sources and build MXNet core shared library.
 
 ```bash
-$ git clone --recursive https://github.com/dmlc/mxnet
-$ cd mxnet
+$ git clone --recursive https://github.com/apache/incubator-mxnet
+$ cd incubator-mxnet
 $ make -j $(nproc) USE_OPENCV=1 USE_BLAS=openblas
 ```
 
@@ -857,8 +857,8 @@ $ sudo apt-get install -y libopencv-dev
 **Step 4** Download MXNet sources and build MXNet core shared library.
 
 ```bash
-$ git clone --recursive https://github.com/dmlc/mxnet
-$ cd mxnet
+$ git clone --recursive https://github.com/apache/incubator-mxnet
+$ cd incubator-mxnet
 $ make -j $(nproc) USE_OPENCV=1 USE_BLAS=openblas USE_CUDA=1 USE_CUDA_PATH=/usr/local/cuda USE_CUDNN=1
 ```
 
@@ -988,8 +988,8 @@ Install these dependencies using the following commands in any directory:
 
 Clone the MXNet source code repository using the following ```git``` command in your home directory:
 ```bash
-    git clone https://github.com/dmlc/mxnet.git --recursive
-    cd mxnet
+    git clone https://github.com/apache/incubator-mxnet.git --recursive
+    cd incubator-mxnet
 ```
 
 If you aren't processing images with MXNet on the Raspberry Pi, you can minimize the size of the compiled library by building MXNet without the Open Source Computer Vision (OpenCV) library with the following commands:
@@ -1070,8 +1070,8 @@ Install these dependencies using the following commands in any directory:
 
 Clone the MXNet source code repository using the following ```git``` command in your home directory:
 ```bash
-    git clone https://github.com/dmlc/mxnet.git --recursive
-    cd mxnet
+    git clone https://github.com/apache/incubator-mxnet.git --recursive
+    cd incubator-mxnet
 ```
 
 Edit the Makefile to install the MXNet with CUDA bindings to leverage the GPU on the Jetson:
@@ -1499,7 +1499,7 @@ To build and install MXNet yourself, you need the following dependencies. Instal
 
 After you have installed all of the required dependencies, build the MXNet source code:
 
-1. Download the MXNet source code from [GitHub](https://github.com/dmlc/mxnet).
+1. Download the MXNet source code from [GitHub](https://github.com/apache/incubator-mxnet).
 2. Use [CMake](https://cmake.org/) to create a Visual Studio solution in ```./build```.
 3. In Visual Studio, open the solution file,```.sln```, and compile it.
 These commands produce a library called ```mxnet.dll``` in the ```./build/Release/``` or ```./build/Debug``` folder.

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