1. 14 1月, 2020 1 次提交
  2. 07 1月, 2020 2 次提交
  3. 06 1月, 2020 1 次提交
  4. 12 12月, 2019 1 次提交
    • T
      memory leak for cpu (#21174) · 9ad940fd
      tangwei12 提交于
      * add fake init for the trainer, fix large memory hold in the trainer
      * do not merge recv vars from a remote endpoint, test=develop
      * add recv and save op, merge slice var in one op, save memory
      * remove hsigmoid with pull sparse, test=develop
      9ad940fd
  5. 06 12月, 2019 1 次提交
  6. 28 11月, 2019 1 次提交
  7. 01 11月, 2019 1 次提交
  8. 17 10月, 2019 1 次提交
  9. 15 10月, 2019 2 次提交
  10. 11 10月, 2019 1 次提交
  11. 09 10月, 2019 1 次提交
  12. 07 10月, 2019 2 次提交
  13. 30 9月, 2019 2 次提交
  14. 26 9月, 2019 1 次提交
  15. 16 9月, 2019 1 次提交
  16. 06 9月, 2019 1 次提交
  17. 28 8月, 2019 2 次提交
  18. 26 8月, 2019 1 次提交
  19. 16 8月, 2019 1 次提交
  20. 12 8月, 2019 1 次提交
  21. 10 8月, 2019 1 次提交
  22. 29 7月, 2019 1 次提交
  23. 23 7月, 2019 1 次提交
    • Y
      supports distributed classification (#18690) · 157211c4
      Yi Liu 提交于
      * supports distributed classification training
      * update API.spec
      * fix evenly division in python3
      * change "index_range" to "index_num" in shard_index operator
      test=document_preview
      test=develop
      157211c4
  24. 22 7月, 2019 1 次提交
  25. 11 7月, 2019 1 次提交
  26. 02 7月, 2019 1 次提交
    • Y
      supports collective training with programs (#18392) · a873fa84
      Yi Liu 提交于
      1. Since allreduce op has 4 reduce types, We split these four reduce types into four ops
      2. We also refined the collective op code, e.g. we separated the collective op kernel into CPUKernel and CUDAKernel, and remove the device specified DeviceContext parameter in template as we already knew the target DeviceContext
      3. We remove the newly added Collective op role to reduce the complexity of program and graph analysis
      a873fa84
  27. 27 6月, 2019 1 次提交
    • H
      supports collective communicated training (#18175) · b7128bac
      HaoRen 提交于
      * fix prepare context redundant code problem, optimize executor by caching create_varaiables
      test=develop
      
      * supports collective training in executor
      
      * make fetch_list runable with variables, add more unittest for use_program_cache
      test=develop
      
      * fix comment
      test=develop
      
      * use unique name for nccl_id
      
      * supports output to stream in program_to_code
      
      * insert sync_comm_stream before regularization; add skip_op_callstack capability in program_to_code
      
      * set op role in collective training
      
      * add collective op role
      
      * remove orig file
      
      * add build optimizer by strategy
      
      * add collective strategy
      
      * refine collective strategy
      
      * add multi-process role maker
      
      * refine strategy building factory so that we can easily plugin more strategy
      
      * scale loss grad in collective sgd transpiler
      
      * add support for distributed fc
      
      * code format
      
      * revert some features for dist fc
      
      * add support for distributed fc training
      
      * fix prepare context redundant code problem, optimize executor by caching create_varaiables
      test=develop
      
      * supports collective training in executor
      
      * make fetch_list runable with variables, add more unittest for use_program_cache
      test=develop
      
      * use unique name for nccl_id
      
      * supports output to stream in program_to_code
      
      * insert sync_comm_stream before regularization; add skip_op_callstack capability in program_to_code
      
      * set op role in collective training
      
      * add collective op role
      
      * fix comment
      test=develop
      
      * remove orig file
      
      * add build optimizer by strategy
      
      * add collective strategy
      
      * refine collective strategy
      
      * add multi-process role maker
      
      * refine strategy building factory so that we can easily plugin more strategy
      
      * scale loss grad in collective sgd transpiler
      
      * add support for distributed fc
      
      * code format
      
      * revert some features for dist fc
      
      * add support for distributed fc training
      
      * test=develop
      add collective op unittest standard
      
      * test=develop
      remove the test_collective directory
      
      * test=develop
      remove the test_collective directory
      
      * remove slicegather test
      
      * code format for reducescatter
      
      * update attr of shard_index_op
      
      * Modify macro nccl_helper
      
      * remove test without distribute
      
      * macro collective_helper
      
      * marcro update
      
      * test=develop
      update support python3.5
      
      * test=develop change gpu memory use to 0.1 when test
      
      * test=develop
      update ut equal func
      
      * test=develop
      set flags to 1.5
      
      * test=develop fix pickle dumple  py35
      
      * test=develop
      fix divide in slice and add sync_comm_stream
      update atol and rtol to 1e-05
      rm shard_index op and test
      modify read input from file to read from memory
      remove origin_program in framework and add i/o in c_sync_calc_stream
      
      * test=develop update unittest sync operator I/O
      b7128bac
  28. 25 6月, 2019 1 次提交
  29. 31 5月, 2019 1 次提交
  30. 30 5月, 2019 1 次提交
  31. 29 5月, 2019 2 次提交
  32. 27 5月, 2019 1 次提交
  33. 24 5月, 2019 1 次提交
    • M
      [MKL-DNN] Add Fully Connected Op for inference only(#15226) · 0c39b97b
      Michał Gallus 提交于
      * fuse mul and elementwise add to fc
      
      * Reimplement the FC forward operator
      
      * Fix FC MKLDNN integration by transposing weights
      
      * Add FC MKLDNN Pass
      
      test=develop
      
      * FC MKLDNN Pass: change memcpy to std::copy
      
      * Fix MKLDNN FC handling of mismatch input and weights dims
      
      * Lower tolerance for MKL-DNN in resnet50 test
      
      test=develop
      
      * Adjust FC to support MKLDNN Op placement
      
      test=develop
      
      * Adjust Placement Op to set use_mkldnn attribute for graph
      
      test=develop
      
      * MKLDNN FC: fix weights format so that gemm version is called
      
      test=develop
      
      * FC MKLDNN: Remove tolerance decrease from tester_helper
      
      * FC MKL-DNN: Refactor the code, change input reorder to weight reorder
      
      * MKL-DNN FC: Introduce operator caching
      
      test=develop
      
      * FC MKL-DNN: Fix the tensor type in ExpectedKernelType
      
      test=develop
      
      * FC MKL-DNN: fix style changes
      
      test=develop
      
      * FC MKL-DNN: fallback to native on non-supported dim sizes
      
      test=develop
      
      * FC MKLDNN: fix CMake paths
      
      test=develop
      
      * FC MKLDNN: Refine placement pass graph mkldnn attribute
      
      test=develop
      
      * Fix Transpiler error for fuse_conv_eltwise
      
      test=develop
      
      * Fix missing STL includes in files
      
      test=develop
      
      * FC MKL-DNN: Enable new output size computation
      
      Also, refine pass to comply with newest interface.
      test=develop
      
      * FC MKL-DNN: enable only when fc_mkldnn_pass is enabled
      
      * FC MKL-DNN: Allow Weights to use oi or io format
      
      * FC MKL-DNN: Adjust UT to work with correct dims
      
      test=develop
      
      * Enable MKL DEBUG for resnet50 analyzer
      
      test=develop
      
      * FC MKL-DNN: Improve Hashing function
      
      test=develop
      
      * FC MKL-DNN: Fix shape for fc weights in transpiler
      
      * FC MKL-DNN: Update input pointer in re-used fc primitive
      
      * Add log for not handling fc fuse for unsupported dims
      
      test=develop
      
      * FC MKL-DNN: Move transpose from pass to Op Kernel
      
      test=develop
      
      * FC MKL-DNN: Disable transpose in unit test
      
      test=develop
      
      * FC MKL-DNN: Remove fc_mkldnn_pass from default list
      
      * Correct Flag for fake data analyzer tests
      
      test=develop
      
      * FC MKL-DNN: Add comment about fc mkldnn pass disablement
      
      test=develop
      
      * FC MKL-DNN: Disable fc in int8 tests
      
      test=develop
      0c39b97b
  34. 23 5月, 2019 1 次提交