1. 07 11月, 2017 1 次提交
    • Y
      Add unittest, backward of array read/write op (#5409) · 6cde889b
      Yu Yang 提交于
      * Use stable_sort in lod_rank_table
      
      It is easy to debug and test when use `stable_sort`and the time
      complexity is not changed.
      
      * Add LoDTensorArray
      
      * Stash
      
      * Better debug message for IsInitialized
      
      * Stash
      
      * Better debug message for IsInitialized
      
      * Complete array read/write op unittests
      
      * Add unittest, Gradient of array read/write
      
      * Follow comments
      6cde889b
  2. 04 11月, 2017 1 次提交
  3. 27 10月, 2017 2 次提交
    • Q
      add sparse support for sum op (#5093) · 7f8574c0
      QI JUN 提交于
      * add sparse support for sum op
      
      * typo fix
      
      * fix gpu build error
      
      * fix unittest error
      
      * typo fix
      
      * infer var type and shape in op_test
      
      * follow comments
      
      * fix build error
      
      * bypass some unittests depend on NetOp
      7f8574c0
    • Y
      Gradient check use graph (#5027) · be00b0c4
      Yu Yang 提交于
      * Simplize Gradient Check
      
      * Stash
      
      * Extract apply_backward_pass to backward.py
      
      Rename apply_backward_pass to append_backward_ops
      
      * Use graph API to check gradient
      
      * Fix ci
      
      * Fix CI
      
      * Fix backward for double precision
      
      * Stash
      
      * Fix CI
      
      * Fix ci
      
      * Ignore GRU test
      
      * Ignore xe op
      
      * Fix CI
      
      * Fix softmax with xe gradient
      
      The correct equation should be IG = OG * (d_softmax_with_xe())
      
      * Fix typo
      
      * Fix merge error
      
      * Disable LRN
      be00b0c4
  4. 17 10月, 2017 1 次提交
  5. 13 10月, 2017 1 次提交
  6. 07 10月, 2017 1 次提交
  7. 05 10月, 2017 1 次提交
  8. 03 10月, 2017 3 次提交
  9. 30 9月, 2017 1 次提交
  10. 27 9月, 2017 1 次提交
    • Q
      Refactoring InferShape (#3946) · 9a9d50a6
      Qiao Longfei 提交于
      * init Infershape
      
      * add static InferShape interface
      
      * refactor add-op infershape
      
      * add AttrReader
      
      * add all maker's infershape
      
      * add all InferShape
      
      * add python infer api
      
      * add VarDesc interface
      
      * add python VarDesc and OpDesc interface
      
      * update python code
      
      * use infershape function to do shape inference
      
      * clean code
      
      * do not use pointer
      
      * refine code of op_proto_maker
      
      * add get_dims to VarDesc
      
      * refine the code
      
      * remove the dependency from operator to op registry
      
      * remove OpProtoAndCheckerMaker from operator
      
      * restore complete_add_op
      
      * add shape_infer_impl.h
      
      * code optimization
      
      * remove const return value
      
      * add fake BlockDesc class
      
      * optimize code
      
      * remove infer function in op_info
      
      * move InferShapeContextImpl to operator.h
      
      * optimize the interface of InferShapeContextBase
      
      * add temperary interface of new infershape
      
      * change add_op, clip_op, conv2d_op and activation_op
      
      * change all operators InferShape
      
      * fix SetDim
      
      * update cos_sim_op
      
      * update crop_op
      
      * update lookup_table_op
      
      * allocate tensor when call GetDim in InferShapeContext
      
      * update modified_huber_loss_op
      
      * update rowwise_add_op
      
      * update mean_op
      
      * update sequence_avg_pool_op
      
      * typo
      
      * remove old InferShape interface
      
      * can compile
      
      * fix or unit test
      
      * clean code
      
      * clean code
      
      * remove const before InferShapeContext
      
      * change InferenceContextBase to pointer
      
      * rename RunTime to Runtime, code clean
      9a9d50a6
  11. 21 9月, 2017 1 次提交
  12. 20 9月, 2017 1 次提交
  13. 15 9月, 2017 1 次提交
  14. 13 9月, 2017 1 次提交
  15. 08 9月, 2017 1 次提交
  16. 05 9月, 2017 1 次提交