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HOW TO
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=======
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========
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PaddlePaddle provides the users the ability to flexibly set various command line parameters to control the model training and inference process. Please refer to the following instructions on using PaddlePaddle:
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.. toctree::
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:maxdepth: 1
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cmd_parameter/index_cn.rst
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PaddlePaddle supports distributed training tasks on fabric clusters, MPI clusters, and Kubernetes clusters. For detailed configuration and usage instructions, refer to:
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.. toctree::
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:maxdepth: 1
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cluster/index_cn.rst
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PaddlePaddle provides a C-API for inference. We provide the following guidelines for using the C-API:
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.. toctree::
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:maxdepth: 1
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capi/index_cn.rst
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PaddlePaddle supports a variety of flexible and efficient recurrent neural networks. For details, please refer to:
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.. toctree::
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:maxdepth: 1
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rnn/index_cn.rst
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How to use the built-in timing tool, nvprof, or nvvp to run performance analysis and tuning, please refer to:
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.. toctree::
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:maxdepth: 1
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cmd_parameter/index_en.rst
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cluster/index_en.rst
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capi/index_en.rst
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rnn/index_en.rst
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optimization/gpu_profiling_en.rst
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optimization/gpu_profiling_cn.rst
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