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  1. 05 3月, 2018 1 次提交
  3. 07 2月, 2018 1 次提交
  5. 14 3月, 2017 1 次提交
  7. 28 1月, 2017 1 次提交
  9. 23 12月, 2016 2 次提交
  11. 22 12月, 2016 1 次提交
  13. 14 12月, 2016 2 次提交
  15. 12 12月, 2016 1 次提交
  17. 09 12月, 2016 1 次提交
  19. 05 12月, 2016 2 次提交
  21. 29 11月, 2016 1 次提交
  23. 25 11月, 2016 1 次提交
  25. 09 11月, 2016 5 次提交
  27. 02 11月, 2016 1 次提交
    • Q
      Add job=time in trainer, refine cudnn_conv to reduce gpu memory and speed up training. (#218) · 45c81a41
      由 qingqing01 提交于 
      * Add benchmark for PaddlePaddle, tensorflow and caffe

* ConvProjection to reduce memory for goolenet

* Add unit test for ConvProjection.
1. unit test in test_LayerGrad.
2. compare the ConvPorjection and CudnnConvLayer, also compare the concat_layer+img_conv_layer and concat_layer_conv_projection.

* Reduce cudnn_conv memory and add benchmark document.
1. Use TmpMatrix as the workspace in cudnn_conv to reduce gpu memory. It reduce lots of memory.
2. Add benchmark document.
3. fix smallnet_mnist_cifar.py in paddle.

* Add job=time and refine cudnn_conv to reduce gpu memroy and speed up

* Refine cudnn_conv and shared biases operation in concat_layer and mixed_layer.

* follow comments

* follow comments

* Use unique_ptr to prevent memory leaks in CudnnConvLayer.
      45c81a41
  29. 29 8月, 2016 1 次提交