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Top K algorithm: parallel version #10941

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merged 2 commits into from
May 30, 2018

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mozga-intel
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@mozga-intel mozga-intel commented May 25, 2018

The implementation of the Top-k algorithm of PaddlePaddle with omp.

  • The top-k algorithm without omp
    Result: top_k 58 3813.27 33.239 69.4531 65.746
  • The top-k algorithm with omp
    Result: top_k 58 92.8446 0.889532 5.54269 1.60077

@@ -55,6 +55,9 @@ class TopkKernel : public framework::OpKernel<T> {
// NOTE: eigen shape doesn't affect paddle tensor.
eg_input.reshape(flat2dims);

#ifdef PADDLE_WITH_MKLDNN
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how about use PADDLE_WITH_MKLML, since the speedup of top_k_op can be used in MKL scenario.

luotao1
luotao1 previously approved these changes May 29, 2018
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LGTM! @mozga-intel Could you merge the latest develop code to pass the teamcity?

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LGTM!Thanks very much!

@luotao1 luotao1 merged commit 66ec827 into PaddlePaddle:develop May 30, 2018
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3 participants