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Resolves #9573

@typhoonzero typhoonzero requested review from luotao1 and shanyi15 April 8, 2018 03:34
<img src="https://raw.githubusercontent.com/PaddlePaddle/Paddle/develop/doc/fluid/images/ci_build_whl.png">
弹出下面的选择框,在第二个tab (Changes)里选择需要发布的分支,这里选择0.11.0,然后点击"Run Build"按钮。
<img src="https://raw.githubusercontent.com/PaddlePaddle/Paddle/develop/doc/fluid/images/ci_build_whl.png">
1. 等待编译完成后可以在此页面的"Artifacts"下拉框中找到生成的3个二进制文件,分别对应CAPI,`cp27m``cp27mu`的版本。
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对于fluid版本,请问以后还需要生成CAPI么?

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不确定,看后续是否有capi的计划,如果都是TensorRT可能会不需要。

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Several approaches in my mind for Fluid to support inference:

  1. The Fluid inference library created by @Xreki @kexinzhao @sidgoyal78 @luotao1 , is the leading effort of other approaches. This approach creates an inference library that can be built for x64 and ARM.

  2. The MKLDNN-based kernels contributed by Intel, with contact person @luotao1 , that would optimize approach 1.'s performance with Intel Xeon CPU.

  3. The capability for Fluid to export an ONNX-format model, which could pipe with TensorRT 4.x to generate CUDA-optimized inference library.

  4. Other approaches, including bridging ProgramDesc to Intel's ngraph, and MDL, an ARM-based inference library for Fluid that loads and executes a ProgramDesc message.

@typhoonzero typhoonzero merged commit 9ed3674 into PaddlePaddle:develop Apr 8, 2018
@typhoonzero typhoonzero deleted the update_release_doc branch April 8, 2018 05:24
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3 participants