提交 7a7321d5 编写于 作者: T Tao Luo 提交者: GitHub

Merge pull request #3783 from luotao1/warpctc_doc

don't need to specify the path of libwarpctc.so, refine the python api doc
...@@ -5065,17 +5065,6 @@ def warp_ctc_layer(input, ...@@ -5065,17 +5065,6 @@ def warp_ctc_layer(input,
building process, PaddlePaddle will clone the source codes, build and building process, PaddlePaddle will clone the source codes, build and
install it to :code:`third_party/install/warpctc` directory. install it to :code:`third_party/install/warpctc` directory.
To use warp_ctc layer, you need to specify the path of :code:`libwarpctc.so`,
using following methods:
1. Set it in :code:`paddle.init` (python api) or :code:`paddle_init` (c api),
such as :code:`paddle.init(use_gpu=True,
warpctc_dir=your_paddle_source_dir/third_party/install/warpctc/lib)`.
2. Set environment variable LD_LIBRARY_PATH on Linux or DYLD_LIBRARY_PATH
on Mac OS. For instance, :code:`export
LD_LIBRARY_PATH=your_paddle_source_dir/third_party/install/warpctc/lib:$LD_LIBRARY_PATH`.
More details of CTC can be found by referring to `Connectionist Temporal More details of CTC can be found by referring to `Connectionist Temporal
Classification: Labelling Unsegmented Sequence Data with Recurrent Classification: Labelling Unsegmented Sequence Data with Recurrent
Neural Networks <http://machinelearning.wustl.edu/mlpapers/paper_files/ Neural Networks <http://machinelearning.wustl.edu/mlpapers/paper_files/
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