Add enas from contributor (#172)

* update readme in ga_squad

* update readme

* fix typo

* Update README.md

* Update README.md

* Update README.md

* update readme

* update config.yml and README

* add doc

* add enas link

* update picture of nni_overview

* Update README.md

README.md

@@ -58,6 +58,7 @@ To learn more about how this example was constructed and how to analyze the expe
 * [How to write a customized assessor?](examples/assessors/README.md)
 * [How to resume an experiment?](docs/NNICTLDOC.md)
 * [Tutorial of the command tool *nnictl*.](docs/NNICTLDOC.md)
+* [How to debug in NNI](docs/HowToDebug.md)
 
 # Contributing
 This project welcomes contributions and suggestions, please refer to our [contributing](./docs/CONTRIBUTING.md) document for the same.

docs/HowToDebug.md

+**How to Debug in NNI**
+===
+

examples/trials/auto-gbdt/config.yml

@@ -9,7 +9,7 @@ searchSpacePath: search_space.json
 #choice: true, false
 useAnnotation: false
 tuner:
-  #choice: TPE, Random, Anneal, Evolution,
+  #choice: TPE, Random, Anneal, Evolution, BatchTuner
   #SMAC (SMAC should be installed through nnictl)
   builtinTunerName: TPE
   classArgs:

examples/trials/auto-gbdt/config_pai.yml

@@ -9,7 +9,7 @@ searchSpacePath: search_space.json
 #choice: true, false
 useAnnotation: false
 tuner:
-  #choice: TPE, Random, Anneal, Evolution,
+  #choice: TPE, Random, Anneal, Evolution, BatchTuner
   #SMAC (SMAC should be installed through nnictl)
   builtinTunerName: TPE
   classArgs:

examples/trials/enas/README.md

+**Run ENAS in NNI**
+===
+
+Now we have an enas example [enas-nni](https://github.com/countif/enas_nni) run in nni from our contributors.
+Thanks our lovely contributors. 
+And welcome more and more people to join us!

examples/trials/mnist-annotation/config.yml

@@ -8,7 +8,7 @@ trainingServicePlatform: local
 #choice: true, false
 useAnnotation: true
 tuner:
-  #choice: TPE, Random, Anneal, Evolution,
+  #choice: TPE, Random, Anneal, Evolution, BatchTuner
   #SMAC (SMAC should be installed through nnictl)
   builtinTunerName: TPE
   classArgs:

examples/trials/mnist-annotation/config_pai.yml

@@ -8,7 +8,7 @@ trainingServicePlatform: pai
 #choice: true, false
 useAnnotation: true
 tuner:
-  #choice: TPE, Random, Anneal, Evolution,
+  #choice: TPE, Random, Anneal, Evolution, BatchTuner
   #SMAC (SMAC should be installed through nnictl)
   builtinTunerName: TPE
   classArgs:

examples/trials/mnist-keras/config.yml

@@ -9,7 +9,7 @@ searchSpacePath: search_space.json
 #choice: true, false
 useAnnotation: false
 tuner:
-  #choice: TPE, Random, Anneal, Evolution,
+  #choice: TPE, Random, Anneal, Evolution, BatchTuner
   #SMAC (SMAC should be installed through nnictl)
   builtinTunerName: TPE
   classArgs:

examples/trials/mnist-keras/config_pai.yml

@@ -9,7 +9,7 @@ searchSpacePath: search_space.json
 #choice: true, false
 useAnnotation: false
 tuner:
-  #choice: TPE, Random, Anneal, Evolution,
+  #choice: TPE, Random, Anneal, Evolution, BatchTuner
   #SMAC (SMAC should be installed through nnictl)
   builtinTunerName: TPE
   classArgs:

examples/trials/mnist-smartparam/config.yml

@@ -8,7 +8,7 @@ trainingServicePlatform: local
 #choice: true, false
 useAnnotation: true
 tuner:
-  #choice: TPE, Random, Anneal, Evolution,
+  #choice: TPE, Random, Anneal, Evolution, BatchTuner
   #SMAC (SMAC should be installed through nnictl)
   builtinTunerName: TPE
   classArgs:

examples/trials/mnist-smartparam/config_pai.yml

@@ -8,7 +8,7 @@ trainingServicePlatform: pai
 #choice: true, false
 useAnnotation: true
 tuner:
-  #choice: TPE, Random, Anneal, Evolution,
+  #choice: TPE, Random, Anneal, Evolution, BatchTuner
   #SMAC (SMAC should be installed through nnictl)
   builtinTunerName: TPE
   classArgs:

examples/trials/mnist/config.yml

@@ -9,7 +9,7 @@ searchSpacePath: search_space.json
 #choice: true, false
 useAnnotation: false
 tuner:
-  #choice: TPE, Random, Anneal, Evolution,
+  #choice: TPE, Random, Anneal, Evolution, BatchTuner
   #SMAC (SMAC should be installed through nnictl)
   builtinTunerName: TPE
   classArgs:

examples/trials/mnist/config_assessor.yml

@@ -9,7 +9,7 @@ searchSpacePath: ~/nni/examples/trials/mnist/search_space.json
 #choice: true, false
 useAnnotation: false
 tuner:
-  #choice: TPE, Random, Anneal, Evolution,
+  #choice: TPE, Random, Anneal, Evolution, BatchTuner
   #SMAC (SMAC should be installed through nnictl)
   builtinTunerName: TPE
   classArgs:

examples/trials/mnist/config_pai.yml

@@ -9,7 +9,7 @@ searchSpacePath: search_space.json
 #choice: true, false
 useAnnotation: false
 tuner:
-  #choice: TPE, Random, Anneal, Evolution,
+  #choice: TPE, Random, Anneal, Evolution, BatchTuner
   #SMAC (SMAC should be installed through nnictl)
   builtinTunerName: TPE
   classArgs:

examples/trials/pytorch_cifar10/config.yml

@@ -9,7 +9,7 @@ searchSpacePath: search_space.json
 #choice: true, false
 useAnnotation: false
 tuner:
-  #choice: TPE, Random, Anneal, Evolution,
+  #choice: TPE, Random, Anneal, Evolution, BatchTuner
   #SMAC (SMAC should be installed through nnictl)
   builtinTunerName: TPE
   classArgs:

examples/trials/pytorch_cifar10/config_pai.yml

@@ -9,7 +9,7 @@ searchSpacePath: search_space.json
 #choice: true, false
 useAnnotation: false
 tuner:
-  #choice: TPE, Random, Anneal, Evolution,
+  #choice: TPE, Random, Anneal, Evolution, BatchTuner
   #SMAC (SMAC should be installed through nnictl)
   builtinTunerName: TPE
   classArgs: