1. 13 6月, 2017 1 次提交
  2. 01 6月, 2017 1 次提交
  3. 24 3月, 2017 1 次提交
  4. 22 2月, 2017 1 次提交
  5. 02 2月, 2017 1 次提交
  6. 06 1月, 2017 1 次提交
  7. 20 12月, 2016 2 次提交
    • P
      fix style issues · 6e405a10
      Peng Li 提交于
      6e405a10
    • P
      Add excluded_chunk_types to ChunkEvaluator · 8fe3a3aa
      Peng Li 提交于
      The chunks of types in excluded_chunk_types will not be counted in
      ChunkEvaluator. This is useful for tasks such as SRL, in which chunks of
      type V (verb) will not be taken into account in evaluation.
      8fe3a3aa
  8. 14 12月, 2016 2 次提交
  9. 13 12月, 2016 2 次提交
  10. 09 12月, 2016 1 次提交
  11. 29 11月, 2016 1 次提交
  12. 28 11月, 2016 2 次提交
  13. 18 11月, 2016 1 次提交
  14. 17 11月, 2016 1 次提交
  15. 08 11月, 2016 1 次提交
  16. 07 11月, 2016 2 次提交
  17. 03 11月, 2016 1 次提交
  18. 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
      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
  19. 01 11月, 2016 1 次提交
  20. 30 10月, 2016 1 次提交
  21. 24 10月, 2016 1 次提交
  22. 09 10月, 2016 1 次提交
  23. 20 9月, 2016 1 次提交
  24. 14 9月, 2016 1 次提交
  25. 29 8月, 2016 1 次提交