1. 15 11月, 2016 2 次提交
  2. 14 11月, 2016 1 次提交
  3. 09 11月, 2016 1 次提交
  4. 08 11月, 2016 1 次提交
    • G
      Remove Mac OS X build docs (#386) · 2e1d968f
      gangliao 提交于
      Currently, Paddle on Mac OS X is not deliberate testing through the different versions of  Mac OS X and Clang.
      When all these things that we've done, we will reopen Mac build docs.
      2e1d968f
  5. 07 11月, 2016 1 次提交
  6. 05 11月, 2016 1 次提交
    • E
      Add elementwise math operations (#343) · 6c3a678c
      emailweixu 提交于
      * Add elementwise math operations
      This allows use to use expressions like: y=log(1+exp(x))
      Also added unittests for ActivationFunction
      * Enforce keyword arguments for non-positional arguments
      * Add LogActivation to doc
      6c3a678c
  7. 04 11月, 2016 1 次提交
  8. 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
  9. 31 10月, 2016 2 次提交
  10. 30 10月, 2016 1 次提交
  11. 28 10月, 2016 1 次提交
  12. 26 10月, 2016 1 次提交
  13. 24 10月, 2016 2 次提交
  14. 19 10月, 2016 1 次提交
  15. 14 10月, 2016 1 次提交
    • L
      hierarchical rnn document, add new config example (#106) · cebdb667
      luotao1 提交于
      * hierarchical rnn document, add new config example
      
      * update inputs_type of label
      
      * add check for unsupported config
      
      * refine hierarchical document
      
      * refine doc title
      
      * update docs, fix paddle to PaddlePaddle
      
      * follow comments
      cebdb667
  16. 13 10月, 2016 1 次提交
  17. 30 9月, 2016 4 次提交
  18. 29 9月, 2016 4 次提交
  19. 28 9月, 2016 2 次提交
  20. 22 9月, 2016 1 次提交
  21. 20 9月, 2016 4 次提交
    • L
      add build on MAC OSX docs · 2daa05c0
      liaogang 提交于
      2daa05c0
    • L
      d2e1b46f
    • E
      Instructions for update pull request (#84) · 425e5b0b
      emailweixu 提交于
      425e5b0b
    • Y
      Add min_pool_size, Add default value of should_shuffle (#70) · 90b9cba7
      Yu Yang 提交于
      * min_pool_size would be infinite by default.
        * add unittest for min_pool_size
      * Fix bug in can_over_batch_size
        * add unittest for can_over_batch_size
      * Add DEFINE_PROVIDER_EX
      * Add default value of should_shuffle
        * When training, the default value of should_shuffle is True.
        * When testing, the default value of should_shuffle is False.
        * User a set a provider should_shuffle or not by pass it to `@provider`
        * should_shuffle can handle a list of value, not just boolean
      * Add input order mapping by using name
        * Add unittest
      * Add check to check input format.
        * Default is close for speed reason.
        * User could stop train when check error, or continue train without
          this train sample.
      * use deque instead of vector in generators pool, make erase
        generator faster.
      * Add chinese/english documentation
      * Make should shuffle = false in unittest
      * Add python files to depends.
      90b9cba7
  22. 14 9月, 2016 3 次提交
  23. 08 9月, 2016 3 次提交