1. Add options to enable and disable RNN weights sharing.
2. Set rnn_layer_size to 2048 by default.
3. Revert back the striding steps of 1st conv layer from 2 to 3.
4. Revert back to BRelu.

Above follows DS2 papers.

Rename self.local_data to self._local_data in class DataGenerator.

Fixed a serious error of bidirectional simple rnn for DS2.

Fix a typo caused exception for audio_featurizer.py.

Seperate data uploading from job summission for DS2 cloud training and add support for multiple shards uploading.

Bug fix and refine cloud training for DS2

Summary:
1. Add missing is_local argument (when set False, use pserver).
2. Add exception thrown if cp failed.
3. Add cloud mkdir if not cloud path for uploading does not exist.
4. Fix a bug using common path ./local_manifest for all nodes. (convert to /local_manifest)
5. Refine coding style.

1. Refine data_utils/data.py, reuse process_utterance function.
2. Modified README.
3. Implement uploading data in cloud/upload_data.py
4. Merge branch 'develop' of https://github.com/PaddlePaddle/models into ds2_pcloud

Update readme in DS2

Update mfcc computation in DS2