update docs

Author: shenweichen

docs/source/History.md

@@ -1,5 +1,5 @@
 # History
-- 09/07/2019 : [v0.6.1](https://github.com/shenweichen/DeepCTR/releases/tag/v0.6.1) released.Fix bugs in `CCPM` and `DynamicGRU`.
+- 09/08/2019 : [v0.6.1](https://github.com/shenweichen/DeepCTR/releases/tag/v0.6.1) released.Fix bugs in `CCPM` and `DynamicGRU`.
 - 08/02/2019 : [v0.6.0](https://github.com/shenweichen/DeepCTR/releases/tag/v0.6.0) released.Now DeepCTR is compatible with tensorflow `1.14` and `2.0.0`. 
 - 07/21/2019 : [v0.5.2](https://github.com/shenweichen/DeepCTR/releases/tag/v0.5.2) released.Refactor `Linear` Layer.
 - 07/10/2019 : [v0.5.1](https://github.com/shenweichen/DeepCTR/releases/tag/v0.5.1) released.Add [FiBiNET](./Features.html#fibinet-feature-importance-and-bilinear-feature-interaction-network).  

docs/source/index.rst

@@ -34,12 +34,12 @@ You can read the latest code at https://github.com/shenweichen/DeepCTR
 
 News
 -----
+09/08/2019 : Start the development of [DeepCTR-PyTorch](https://github.com/shenweichen/deepctr-pytorch),welcome to join us!! . `Changelog <https://github.com/shenweichen/DeepCTR/releases/tag/v0.6.1>`_
+
 08/02/2019 : Now DeepCTR is compatible with tensorflow `1.14` and `2.0.0`. `Changelog <https://github.com/shenweichen/DeepCTR/releases/tag/v0.6.0>`_
 
 07/21/2019 : Refactor Linear Layer. `Changelog <https://github.com/shenweichen/DeepCTR/releases/tag/v0.5.2>`_
 
-07/10/2019 : Add `FiBiNEt <./Features.html#fibinet-feature-importance-and-bilinear-feature-interaction-network>`_ . `Changelog <https://github.com/shenweichen/DeepCTR/releases/tag/v0.5.1>`_
-
 .. toctree::
    :maxdepth: 2
    :caption: Home:

examples/run_classification_criteo_multi_gpu.py

@@ -44,7 +44,7 @@
 
     # 4.Define Model,train,predict and evaluate
     model = DeepFM(linear_feature_columns, dnn_feature_columns, task='binary')
-    #model = multi_gpu_model(model, gpus=2)
+    model = multi_gpu_model(model, gpus=2)
 
     model.compile("adam", "binary_crossentropy",
                   metrics=['binary_crossentropy'], )

tests/utils.py

@@ -348,12 +348,12 @@ def check_model(model, model_name, x, y,check_model_io=True):
     print(model_name+" test train valid pass!")
     model.save_weights(model_name + '_weights.h5')
     model.load_weights(model_name + '_weights.h5')
-    os.remove(model_name + '_weights.h5') 
+    os.remove(model_name + '_weights.h5')
     print(model_name+" test save load weight pass!")
     if check_model_io:
         save_model(model, model_name + '.h5')
         model = load_model(model_name + '.h5', custom_objects)
-        os.remove(model_name + '.h5') 
+        os.remove(model_name + '.h5')
         print(model_name + " test save load model pass!")
 
     print(model_name + " test pass!")