Implementing the Adagrad optimizer step operator

Adding the implementation for rmsprop operator

Added Leaky Relu activation

* Adding Adadelta optimization operator
* Making inputs and outputs conform to naming convention
* Removing type alias from header files
* Fixing Adadelta documentation in comments
* Addressing code review feedback

Add -D PADDLE_WITH_CUDA in cmake/configure.cmake

use EigenVector to get learning_rate for GPU device in SGD operator

Rename platform::GetDeviceCount into platform::GetCUDADeviceCount

Design Doc: Session

Update lod_tensor.md

Change `PADDLE_ONLY_CPU` to `PADDLE_WITH_GPU`

By shell command

```bash
sed -i 's#ifdef PADDLE_ONLY_CPU#ifndef PADDLE_WITH_GPU#g' `find ./paddle/ -name '*.h' -o -name '*.cc' -o -name '*.cpp' -o -name '*.c' -o -name '*.cu'`
sed -i 's#ifndef PADDLE_ONLY_CPU#ifdef PADDLE_WITH_GPU#g' `find ./paddle/ -name '*.h' -o -name '*.cc' -o -name '*.cpp' -o -name '*.c' -o -name '*.cu'`
```

Bug fix

Add helper function in GradOpDescMakerBase. Make it easier to use.

add generic add operator