Releases
v0.4.0
New Features
Support Java Client
Support TensorRT, add docker image for cuda10.1 and TensorRT 6
Modify the LocalPredictor interface to align with the RPC interface usage
Add Pipeline Serving Dag Deployment
Support Windows 10 (Only Web Service and Local Predictor)
Add built-in Serving model converter
Improve of Compatibility
Release cuda10.1 version of paddle_serving_server_gpu
Release Python 3.5 version of paddle_serving_client
Remove serving-client-app circular dependencies
Modify version of dependencies
Support LoD Tensor and replace list type for batch input with one numpy array
Improve of Framework
Pipeline Dag support multi-gpu
lower RPC thread restriction to 1
Documents
Modify "COMPILE"
Add "WINDOWS_TUTORIAL"
Add "PIPELINE_SERVING"
Modify "BERT_10_MIN"
New Demo
Bug fixes
Fix subprocess CUDA ERROR3 bug
Fix pip install dependencies
Fix import error in windows
Fix bugs in web service
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