-readme change

README.md

@@ -10,6 +10,16 @@ SkyNet is a light deep learning library.
 [ResNet cpp-example for Win](https://github.com/Tyill/storage/tree/master/resnetDemo/Builds) 
 
 
+Compare with Tensorflow, inference ResNet50. [Code.] (https://github.com/Tyill/skynet/blob/master/example/resnet50/compareWithTF.py)
+PC: i5-2400, GF1050, Win7, MSVC12. 
+
+|                  | **CPU: time/img, ms** | **GPU: time/img, ms** | **CPU: RAM, Mb** | **GPU: RAM, Mb** |
+|------------------|-----------------------|-----------------------|------------------|------------------|
+|    Skynet        |        195            |          15           |       600        |       800        |               
+|--------------------------------------------------------------------------------------------------------|
+|    Tensorflow    |        250            |          25           |       400        |       1400       |               
+
+
 ## Features
 
 * the library is written from scratch in C++ (only STL + OpenBLAS for calculation), C-interface
@@ -68,7 +78,7 @@ for n in range(1000):
 
 * pip install libskynet     -  CPU
 
-* pip install libskynet-cu  -  CPU + cuDNN7.3.1
+* pip install libskynet-cu  -  CUDA + cuDNN7.3.1
 
 
 ## [Wiki](https://github.com/Tyill/skynet/wiki) 

example/mnist/cpp_example.cpp

@@ -122,14 +122,13 @@ int main(int argc, char* argv[]){
 
         // training
         float accurat = 0;
-     /*   snet.training(lr,
+        snet.training(lr,
             inLayer,
             outLayer,
             targetLayer,
-            accurat);*/
-
-        snet.forward(false, inLayer, outLayer);
+            accurat);
 
+
         // calc error
         sn::snFloat* targetData = targetLayer.data();
         sn::snFloat* outData = outLayer.data();

python/setup.py

@@ -37,15 +37,15 @@
 with open("README.md", "r") as fh:
     long_description = fh.read()
 
-__version__ = '1.0.3'
+__version__ = '1.0.4'
 
 setup(
-    name="libskynet",
+    name="libskynet-cu",
     version=__version__,
     url="https://github.com/Tyill/skynet",
     packages=find_packages(),
-    package_dir={'libskynet': 'libskynet'},
-    package_data={'libskynet': ['*.so', '*.dll']},
+    package_dir={'libskynet-cu': 'libskynet-cu'},
+    package_data={'libskynet-cu': ['*.so', '*.dll']},
     description="neural net with blackjack and hookers",
     long_description=long_description,
     long_description_content_type="text/markdown",