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new 63ae3b3 Update MKLDNN_README.md (#13653)
63ae3b3 is described below
commit 63ae3b323aef3f8d2d5f72a05e083f5283436bec
Author: Manu Seth <[email protected]>
AuthorDate: Fri Dec 14 22:25:17 2018 -0700
Update MKLDNN_README.md (#13653)
---
MKLDNN_README.md | 12 ++++++------
1 file changed, 6 insertions(+), 6 deletions(-)
diff --git a/MKLDNN_README.md b/MKLDNN_README.md
index 2618d23..6b25fee 100644
--- a/MKLDNN_README.md
+++ b/MKLDNN_README.md
@@ -1,9 +1,9 @@
# Build/Install MXNet with MKL-DNN
-A better training and inference perforamce are expected to achieved on
Intel-Architecture CPUs with MXNET built with [Intel
MKL-DNN](https://github.com/intel/mkl-dnn) on multiple operating system,
including Linux, Windows and MacOS.
-In the following sections, you will find building instructions for MXNET with
Intel MKL-DNN on Linux, MacOS and Windows.
+A better training and inference performance is expected to be achieved on
Intel-Architecture CPUs with MXNet built with [Intel
MKL-DNN](https://github.com/intel/mkl-dnn) on multiple operating system,
including Linux, Windows and MacOS.
+In the following sections, you will find build instructions for MXNet with
Intel MKL-DNN on Linux, MacOS and Windows.
-The detailed performance data collected on Intel Xeon CPU with MXNET built
with Intel MKL-DNN can be found at
[here](https://mxnet.incubator.apache.org/faq/perf.html#intel-cpu).
+The detailed performance data collected on Intel Xeon CPU with MXNet built
with Intel MKL-DNN can be found
[here](https://mxnet.incubator.apache.org/faq/perf.html#intel-cpu).
<h2 id="0">Contents</h2>
@@ -83,7 +83,7 @@ LIBRARY_PATH=$(brew --prefix llvm)/lib/ make -j $(sysctl -n
hw.ncpu) CC=$(brew -
<h2 id="3">Windows</h2>
-On Windows, you can use [Micrsoft Visual Studio
2015](https://www.visualstudio.com/vs/older-downloads/) and [Microsoft Visual
Studio 2017](https://www.visualstudio.com/downloads/) to compile MXNET with
Intel MKL-DNN.
+On Windows, you can use [Micrsoft Visual Studio
2015](https://www.visualstudio.com/vs/older-downloads/) and [Microsoft Visual
Studio 2017](https://www.visualstudio.com/downloads/) to compile MXNet with
Intel MKL-DNN.
[Micrsoft Visual Studio
2015](https://www.visualstudio.com/vs/older-downloads/) is recommended.
**Visual Studio 2015**
@@ -123,7 +123,7 @@ cmake -G "Visual Studio 14 Win64" .. -DUSE_CUDA=0
-DUSE_CUDNN=0 -DUSE_NVRTC=0 -D
These commands produce a library called ```libmxnet.dll``` in the
```./build/Release/``` or ```./build/Debug``` folder.
Also ```libmkldnn.dll``` with be in the
```./build/3rdparty/mkldnn/src/Release/```
-6. Make sure that all the dll files used above(such as `libmkldnn.dll`,
`libmklml.dll`, `libiomp5.dll`, `libopenblas.dll`, etc) are added to the system
PATH. For convinence, you can put all of them to ```\windows\system32```. Or
you will come across `Not Found Dependencies` when loading mxnet.
+6. Make sure that all the dll files used above(such as `libmkldnn.dll`,
`libmklml.dll`, `libiomp5.dll`, `libopenblas.dll`, etc) are added to the system
PATH. For convinence, you can put all of them to ```\windows\system32```. Or
you will come across `Not Found Dependencies` when loading MXNet.
**Visual Studio 2017**
@@ -177,7 +177,7 @@ cmake -G "Visual Studio 15 2017 Win64" .. -T host=x64
-DUSE_CUDA=0 -DUSE_CUDNN=0
msbuild mxnet.sln /p:Configuration=Release;Platform=x64 /maxcpucount
```
-9. Make sure that all the dll files used above(such as `libmkldnn.dll`,
`libmklml.dll`, `libiomp5.dll`, `libopenblas.dll`, etc) are added to the system
PATH. For convinence, you can put all of them to ```\windows\system32```. Or
you will come across `Not Found Dependencies` when loading mxnet.
+9. Make sure that all the dll files used above(such as `libmkldnn.dll`,
`libmklml.dll`, `libiomp5.dll`, `libopenblas.dll`, etc) are added to the system
PATH. For convinence, you can put all of them to ```\windows\system32```. Or
you will come across `Not Found Dependencies` when loading MXNet.
<h2 id="4">Verify MXNet with python</h2>
