From 466f28a6b18f56fe0b2686091a49802ea97334b7 Mon Sep 17 00:00:00 2001 From: legend06hvl Date: Thu, 22 Mar 2018 15:16:01 +0800 Subject: [PATCH] Update index_en.rst (#9286) * Update index_en.rst Update en version * Update index_en.rst Update refer to commits and thank you for the suggestion. --- doc/v2/howto/capi/index_en.rst | 19 ++++++++++++++++++- 1 file changed, 18 insertions(+), 1 deletion(-) diff --git a/doc/v2/howto/capi/index_en.rst b/doc/v2/howto/capi/index_en.rst index 2cbbe362f..4ec39c9d5 100644 --- a/doc/v2/howto/capi/index_en.rst +++ b/doc/v2/howto/capi/index_en.rst @@ -1,6 +1,23 @@ -C-API Prediction Library +C-API Inference Library ======================== +After we train a neural network, we use it to do inference. Inference is the process of preparing input data and propagating it through the model to produce the result. + +Compared with model training, prediction has the following features: + +#. Inference does not require backpropagation and parameter updates, as required during training. +#. Labels are not needed in prediction. +#. Most of the time, predictions need to be integrated with the user system. + +Therefore, the model prediction SDK needs to be designed separately and has the following features: + +#. The predictive SDK does not include backpropagation and parameter updates to reduce the size of the SDK. +#. The predictive SDK needs a simple user interface for ease of use. +#. Since the input data may have a variety of structures, the format of the input data is clearly and compactly packaged. +#. In order to be compatible with user's system, the SDK's interface must conform to the C-standard interface. + +PaddlePaddle provides C-API to solve the above problem. Following are the guidelines to use the C-API: + .. toctree:: :maxdepth: 1 -- GitLab