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Paddle/paddle/fluid/inference/api
Jacek Czaja 8b88cd5167
[oneDNN] Fix to inplace pass (#24442)
5 years ago
..
demo_ci solve mklml memory leak on windows (#24015) 5 years ago
details Add macro BOOST_GET to enrich the error information of boost :: get (#24175) 5 years ago
CMakeLists.txt
README.md
analysis_config.cc
analysis_predictor.cc Add macro BOOST_GET to enrich the error information of boost :: get (#24175) 5 years ago
analysis_predictor.h
analysis_predictor_tester.cc
api.cc
api_impl.cc Add macro BOOST_GET to enrich the error information of boost :: get (#24175) 5 years ago
api_impl.h
api_impl_tester.cc Add macro BOOST_GET to enrich the error information of boost :: get (#24175) 5 years ago
api_tester.cc
helper.cc
helper.h
high_level_api.md
high_level_api_cn.md
mkldnn_quantizer.cc Add macro BOOST_GET to enrich the error information of boost :: get (#24175) 5 years ago
mkldnn_quantizer.h
mkldnn_quantizer_config.cc
paddle_analysis_config.h remove unused test_multi_thread_helper.h (#24399) 5 years ago
paddle_api.h
paddle_inference_api.h
paddle_mkldnn_quantizer_config.h
paddle_pass_builder.cc [oneDNN] Fix to inplace pass (#24442) 5 years ago
paddle_pass_builder.h

README.md

Embed Paddle Inference in Your Application

Paddle inference offers the APIs in C and C++ languages.

You can easily deploy a model trained by Paddle following the steps as below:

  1. Optimize the native model;
  2. Write some codes for deployment.

The APIs

All the released APIs are located in the paddle_inference_api.h header file. The stable APIs are wrapped by namespace paddle, the unstable APIs are protected by namespace paddle::contrib.

Write some codes

Read paddle_inference_api.h for more information.