1. 20 12月, 2016 3 次提交
  2. 16 12月, 2016 4 次提交
  3. 15 12月, 2016 3 次提交
  4. 14 12月, 2016 2 次提交
  5. 12 12月, 2016 1 次提交
  6. 09 12月, 2016 1 次提交
  7. 05 12月, 2016 4 次提交
  8. 01 12月, 2016 1 次提交
    • X
      Fix --job=test · 66520f8b
      xuwei06 提交于
      When the define_py_data_sources2 has both train_list and test_list,
      for job=test, the trainer will create both dataProvider_ and testDataProvider_.
      But dataProvider_ is not used. This causes SIGSEGV at finishAsync() because asyncLoader_ is not created.
      
      Change-Id: If579f715f80a70ebc795094792c3436bfa0f5746
      66520f8b
  9. 28 11月, 2016 1 次提交
    • W
      Redesign test_period meaning: · 1f743d38
      wangyanfei01 提交于
       * always do test on all test data
       * do test at the end of each pass if test_period=0, otherwise do test if test_period batches passed
      1f743d38
  10. 22 11月, 2016 1 次提交
  11. 17 11月, 2016 1 次提交
  12. 13 11月, 2016 1 次提交
  13. 12 11月, 2016 1 次提交
  14. 09 11月, 2016 4 次提交
  15. 03 11月, 2016 1 次提交
  16. 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
  17. 28 10月, 2016 2 次提交
  18. 27 10月, 2016 1 次提交
    • E
      Python trainer api (#193) · cbe734b3
      emailweixu 提交于
      * Python trainer API and demo
      
      * Adding missing PaddleAPIPrivate.h
      
      * Adding api_train.sh
      
      * More comments
      
      * Bump up patch version to 0b3
      cbe734b3
  19. 24 10月, 2016 1 次提交
  20. 17 10月, 2016 1 次提交
    • E
      Fix sparse training for trainer_count=1 (#204) · 28bc05b1
      emailweixu 提交于
      * Fix sparse training for trainer_count=1
      
      For trainer_count=1, the gradient machine is NeuralNetwork, which does not create parameter buf for PARAMETER_GRADIENT for sparse update in Parameter::enableType. But gradient parameter buf is still used in SgdThreadUpdater.
      
      * Minor update to comment
      28bc05b1
  21. 13 10月, 2016 1 次提交
  22. 10 10月, 2016 1 次提交
  23. 29 9月, 2016 3 次提交
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