1. 20 2月, 2022 1 次提交
  2. 26 1月, 2022 2 次提交
    • L
      [pten] remove deprecated fluid op kernel for pten (#38842) · 3ab9aef1
      Leo Chen 提交于
      * update cmake file to remove fluid kernel
      
      * add pten declaration.h to where pybind.h used
      
      * fix sync_bn and tensorrt_engine
      
      * refine detection_library
      
      * fix interpreter_core
      
      * support eager legacy
      
      * fit eager legacy for pten
      
      * fall back to cpu if not found kernel
      
      * fix compile problem
      
      * fix compile problem
      
      * refine fallback logic
      
      * fit operator.run()
      
      * fix xpu compile
      
      * fit for new_exec
      
      * add REGISTER_OP_WITHOUT_GRADIENT
      
      * un-cache pt_kernel_context
      
      * fix compile
      
      * fix cudnn
      
      * fix compiling with on_infer
      
      * fix mkldnn
      
      * fix isfinite_v2
      
      * fix xpu problem
      
      * fix op_device
      
      * refine fallback for xpu
      
      * fix xpu compile
      
      * merge develop
      
      * refine code format
      
      * fix compile
      
      * fix compile
      
      * add data_transfer
      
      * fix PreparePtenData
      
      * fix cpu context
      
      * merge develop
      
      * fix compile
      
      * fix error device context
      
      * fix xpu
      
      * fix dev_ctx
      3ab9aef1
    • P
      add profile record (infer_shape, compute) for dygraph (#39023) · d9acc87e
      pangyoki 提交于
      * add profile record for dygraph
      
      * add op type in record
      
      * fix little bug
      
      * solve conflict
      d9acc87e
  3. 08 12月, 2021 1 次提交
    • W
      [Eager] generate eager core ops, only 4 ops (#37813) · 52f63cd2
      wanghuancoder 提交于
      * refine a test case, test=develop
      
      * publish python c api for eager, test=develop
      
      * revert modify about test_allclose_layer.py, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      
      * delete numpy includes, use pybind11 numpy.h, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      
      * suport eager error msg, and add grad test case, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      
      * generate eager core ops, only 4 ops, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      52f63cd2
  4. 01 12月, 2021 1 次提交
  5. 01 11月, 2021 1 次提交
    • C
      Paddle Tensor Operation Library initial implementation (#34425) · b9fdd3bc
      Chen Weihang 提交于
      * initial tensor design & sign kernel demo
      
      * add move constructor for meta & add lodtensor
      
      * add dirs & sign xpu kernel
      
      * add mean cpu&cuda kernel impl
      
      * move sign & mean xpu & npu kernel
      
      * add selected_rows basic impl
      
      * refactor design, BaseTensor to DenseTensor, etc.
      
      * add scale mkldnn kernel
      
      * polish xpu & npu impl details
      
      * fix mkldnn reuse compile failed
      
      * change tensor operation lib name
      
      * rename util filename
      
      * add more comments
      
      * change TensorImplInterface to TensorInterface
      
      * add kernel key and factory
      
      * remove MKLDNNTensorMeta, add MKLDNNDenseTensor
      
      * change XXDeviceContext to XXContext
      
      * add base kernel registrar utils & test on sign
      
      * replace boost::any by paddle::any
      
      * fix several ci failed
      
      * fix npu compile error
      
      * add ordered map util
      
      * fix multiple ordered_map compile errors
      
      * move dev into include dir
      
      * support sign op in static op run
      
      * fix static op run error
      
      * fix new executor compile failed
      
      * add dygraph branch & remove sign_op.h
      
      * fix test_infer_no_need_buffer_slots
      
      * fix rocm compile link error
      
      * fix unitybuild error & clear glog
      
      * fix npu compile failed
      
      * skip quant trans test
      
      * fix part windows compile problem
      
      * fix xpu enforce error
      
      * fix inference test failed
      
      * remove ordered_map to solve quant failed
      
      * fix part of rcom compile faild
      
      * add more register kernels
      
      * revert scale kernel temporarily
      
      * fix code format error
      
      * add new kernel registrar marco
      
      * rename top to tcmpt
      
      * revert xpu, npu, mkldnn impl & remove op def
      
      * add kernel args parse functor to auto parse args
      
      * revert some change & add scale kernels
      
      * add op proto in dygraph kernelcontext building
      
      * polish kernel dispatch logic & nameing rule
      
      * fix scale kernel match error
      
      * fix scale test failed
      
      * add mean API and unittest
      
      * test mean api success
      
      * add branch to solve compiled error
      
      * skip clang format error
      
      * add mean skip rule in op_library
      
      * add dot kernel, api and unittest (#6)
      
      * remove old kernel and add symbol link
      
      * fix dot compiled failed
      
      * add merco for module declare
      
      * fix npu and xpu compile error
      
      * revert sign, mean, scale, dot kernel removing
      
      * add comment for keeping old kernel impl
      
      * fix mutable_data error
      
      * fix bfloat16 conflit
      
      * fix inference undef error
      
      * adapt to msvc compile rules
      
      * polish comment for template inst
      
      * add cmake template instantiation for win
      
      * fix backend to place device id bug
      
      * fix ifdef error
      
      * Op2functor (#7)
      
      * add kernel args maker class
      
      * make args maker non-const
      
      * remove debug log
      
      * modify codes by review options
      
      * split constructPrKernelContext function
      
      * fix output name bug
      
      * fix test_mean_op test_sign_op failed
      
      * fill_any_like kernel refactor (#10)
      
      * fill_any_like kernel refactor
      
      * remove useless code of full_like c++ api
      
      * skip dtype for fill_any_like
      
      * add attrs for kernel key constrcut
      
      * add use_pt_kernel Flags to control whether to use pt kernel (#13)
      
      * add use_pt_kernel Flags to control whether to use pt kernel
      
      * change the default value to true for cheking pt kernels
      
      * fix mutable_data cuda place error
      
      * move high level apis into hapi
      
      * remove selectedrows adapting temporarily
      
      * Support Scalar in Tensor Compute Library (#14)
      
      * fill_any_like kernel refactor
      
      * remove useless code of full_like c++ api
      
      * Support Scalar in Tensor Compute Library
      
      * add scalar in dygraph and static graph mode
      
      * keep the basic type for attr, instead of using scalar for all
      
      * merge the code
      
      * remove mkldnn tensor & polish details
      
      * use flat_hash_map and small_vector in kernel factory
      
      * Refactor flatten kernel (#12)
      
      * refactor flatten kernel
      
      * update infershape function
      
      * fix compile bugs
      
      * fix bugs when merge
      
      * fix compiler bugs
      
      * fix bugs when run test_flatten_api
      
      * fix bugs when run test
      
      * Revert "use flat_hash_map and small_vector in kernel factory"
      
      This reverts commit 23091495cfdd3df8cc1be592d30f09ea66a7c72b.
      
      * Move cpu, cuda and other device code into kernels (#15)
      
      * fill_any_like kernel refactor
      
      * remove useless code of full_like c++ api
      
      * Support Scalar in Tensor Compute Library
      
      * add scalar in dygraph and static graph mode
      
      * keep the basic type for attr, instead of using scalar for all
      
      * merge the code
      
      * start refactor matmul
      
      * move cpu, cuda and other device modules into kernels
      
      * merge code
      
      * polish code in operator.cc
      
      * Perfect unitests (#16)
      
      * perfect unittest
      
      * update license
      
      * replace with flat_hash_map, small_vector (#19)
      
      * fix small_vector build error on windows platform
      
      * replace with flat_hash_map, small_vector
      
      * remove todo
      
      * Perfect unitests (#20)
      
      * perfect unittest
      
      * update license
      
      * fix bug when run tcmpt_utils_test
      
      * refactor execution adapting impl
      
      * fix insert conflit
      
      * Fix CI bug of test_yolov3 (#21)
      
      * fill_any_like kernel refactor
      
      * remove useless code of full_like c++ api
      
      * Support Scalar in Tensor Compute Library
      
      * add scalar in dygraph and static graph mode
      
      * keep the basic type for attr, instead of using scalar for all
      
      * merge the code
      
      * start refactor matmul
      
      * move cpu, cuda and other device modules into kernels
      
      * merge code
      
      * polish code in operator.cc
      
      * Fix CI bug of test_yolov3
      
      * add the tensor base class, test=develop (#17)
      
      * update the tensor base class, test=develop
      
      * remove two funcs, test=develop
      
      * update the error msg, test=develop
      Co-authored-by: NChen Weihang <chenweihang@baidu.com>
      
      * [no-verify] commit backend and tensor signature changes
      
      * Rename tcmpt to pten (#23)
      
      * rename tcmpt to pten
      
      * update omitted files for rename to pten
      
      * update omitted file for rename to pten
      
      * remove k of all enum var
      
      * remove kernel_instantiate (#26)
      
      * remove symbols and spatial_tensor
      
      * change common to functions
      
      * readd share tensor impl methods
      
      * add a candidate dense tensor class, test=develop (#28)
      
      * change all Pt to Pten
      
      * resolve conflit with xiaowei
      
      * Op2functor opt1 (#27)
      
      * replace to small vector and change to const &
      
      * add std::move
      Co-authored-by: NChen Weihang <chenweihang@baidu.com>
      
      * polish kernel factory and kernel registry
      
      * fix operator test error msg mismatch
      
      * remove tensor signature and backend set member
      
      * move scalar and polish enforce
      
      * revert dtype layout change to fix error
      
      * fix enum operator override error
      
      * add several base unittests
      
      * add pten utils tests
      
      * polish some details
      
      * Dev/op2func refactor 3 (#30)
      
      * add a candidate dense tensor class, test=develop
      
      * remove TensorBase::backend(), test=develop
      
      * remove some ops, test=develop
      
      * cherry-pick the pr of tensor meta, test=develop
      
      * moves the dense tensor and some ops, test=develop
      
      * update the linalg operator, test=develop
      
      * update other operators, test=develop
      
      * fix errors, test=develop
      
      * fix bugs, test=develop
      
      * try to resolve the problem of windows ci, test=develop
      
      * updates codes, test=develop
      
      * fix the tensor_utils.cc, test=develop
      
      * modify the dense tensor, test=develop
      
      * fix the data type, test=develop
      Co-authored-by: Nshixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com>
      
      * polish some details
      
      * polish kernel signature details
      
      * fix a bug about offsets of the tensor, test=develop (#31)
      Co-authored-by: Nshixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com>
      
      * polish some details
      Co-authored-by: Nchentianyu03 <ctychentianyu@gmail.com>
      Co-authored-by: Nzyfncg <1370305206@qq.com>
      Co-authored-by: NYuanRisheng <yuanrisheng@baidu.com>
      Co-authored-by: N石晓伟 <39303645+Shixiaowei02@users.noreply.github.com>
      b9fdd3bc
  6. 25 10月, 2021 2 次提交
    • S
      Add bincount op (#36317) · 39f19127
      smallv0221 提交于
      * Add bincount op
      
      * upload cpu version
      
      * fix unitest
      
      * fix unittest
      
      * fix unittest
      
      * fix en doc
      
      * add more test
      
      * fix en doc
      
      * add more test case
      
      * fix test
      
      * fix input vailidation
      
      * fix input check
      
      * fix unittest
      
      * fix test
      
      * fix en doc
      39f19127
    • Z
      add op: fused_feedforward(forward) (#35843) · b18cbfb2
      zhangkaihuo 提交于
      这个PR只包含fused_feedforward前向的代码。
      
      相关kernel实现:fused_dropout_act_bias, fused_residual_dropout_bias, fused_layernorm_residual_dropout_bias
      
      fused_feedforward是一个融合算子,该算子对transformer模型的feed forward层的算子进行融合和封装,使得前端只呈现一个接口,通过融合减少部分访存和kernel launch的时间,以此提升性能。
      b18cbfb2
  7. 22 10月, 2021 1 次提交
    • L
      Fused attention op forward (#35905) · d4906214
      Li Min 提交于
      功能:本PR的目标是提高attention模块的计算性能。
      为了减少框架层对op的调度开销,本PR通过在C++层手动实现attention模块,对外提供attention 大op;
      为了减少防存开销,本PR采取了两种优化方法:
      (1)在q,k,v计算时通过共享输入X,将该处的gemm,transpose和bias add从三次调用减少为一次;
      (2)使用kernel融合优化技术,在不同cuda kernel之间通过寄存器传输数据;
      d4906214
  8. 20 10月, 2021 1 次提交
    • S
      Add FasterTokenizer Operator (#34491) · 3f2d6a3f
      Steffy-zxf 提交于
      Add Tokenizer related functionalities for Transformer model in order that the process of training and predicting is consistent.
      
      * support the text string as an input Tensor
      * support the "VOCAB"unordered_map<wstring, int> as an input Tensor to lookup tokens
      * Tokenizer used for BERT. This tokenizer applies an end-to-end, text string to wordpiece tokenization.
      * It first applies basic tokenization, followed by wordpiece tokenization.
      3f2d6a3f
  9. 26 9月, 2021 2 次提交
  10. 17 9月, 2021 1 次提交
    • Z
      [AMP] Support pure fp16 training mode for dygraph (#35521) · adaeee4d
      zhangbo9674 提交于
      * add pure fp16 major function in auto_cast & tracer
      
      * support master weight in dygraph for pure fp16
      
      * check mix dtype of fp16&fp32 for check_finite_and_unscale op
      
      * change pure fp16 funtion name
      
      * refine some bug in auto_cast
      
      * refine auto_cast interface logic
      
      * add param _casted_by_pure_fp16 for class Layer
      
      * support state_dict hook for save model by user appointed dtype in pure_fp16_decorator
      
      * refine pure_fp16_decorator as decorator
      
      * add unittest
      
      * add comment
      
      * add comment
      
      * support recompute
      
      * add comment for auto_cast and decorator
      
      * support to_static_state_dict for paddle.jit.save
      
      * unlimite models num and optimizers num
      
      * add lookup_table in black_list
      
      * fix momentum and layer state_dict
      
      * fix bug in layer state_dict
      
      * fix bug in layer state_dict_helper
      
      * refine unittest
      
      * refine test_momentun_op
      
      * refine interface and some code
      
      * refine amp_decorator interface
      
      * refine pure fp16 interface
      
      * refine master weight interface
      adaeee4d
  11. 09 9月, 2021 1 次提交
    • 0
      Add matrix_rank Op and it's GPU and CPU kernel (#34823) · eb1fbf12
      0x45f 提交于
      * init matrix_rank op, add matrix_rank CPU code and test
      
      * add GPU kernel, remove svd_eigen.h
      
      * add CPU kernel when tol is tensor
      
      * add cpu and gpu code when tol is tensor
      
      * fix CI-ROCM error
      
      * add matrix_rank API describe, fix PR-CI-Py3 error
      
      * fix PR-CI-Windows error, add matrix_rank API test
      
      * delete useless comments
      
      * fix review
      
      * add my code in svd_helper.h
      
      * update doc commets
      
      * remove spaces
      eb1fbf12
  12. 08 9月, 2021 1 次提交
  13. 27 8月, 2021 1 次提交
  14. 23 8月, 2021 1 次提交
  15. 16 8月, 2021 1 次提交
    • D
      add unique_consecutive_op (#34334) · 875cfd57
      duanboqiang 提交于
      * add unique_consecutive_op
      
      * add unique_consecutive_op
      
      * add unique_consecutive_op
      
      * add unique_consecutive_op
      
      * add unique_consecutive_op
      
      * add unique_consecutive_op
      
      * add unique_consecutive_op
      
      * add unique_consecutive_op
      
      * remove unity build
      
      * add unique_consecutive op
      
      * add unique_consecutive op
      
      * add enable static
      
      * add noqa
      
      * add space line
      
      * add default case.
      
      * add comma
      
      * add space line
      
      * modify unique_consecutive unittest
      
      * optimize ut coverage
      
      * rebase develop
      
      * improve coverage
      
      * update en docs
      
      * update en docs
      
      * update en docs
      
      * update en docs
      
      * update en docs
      
      * update en doc
      875cfd57
  16. 12 8月, 2021 1 次提交
  17. 14 7月, 2021 1 次提交
  18. 23 6月, 2021 1 次提交
  19. 11 6月, 2021 1 次提交
  20. 09 6月, 2021 2 次提交
  21. 05 5月, 2021 1 次提交
  22. 26 4月, 2021 2 次提交
  23. 21 4月, 2021 1 次提交
    • Z
      【NPU】Merge NPU ccl code (#32381) · c3158527
      zhang wenhui 提交于
      * add allreduce and broadcast without test (#31024)
      
      add allreduce and broadcast without test
      
      * Refactor HCCLCommContext to be compatible with Paddle (#31359)
      
      Refactor HCCLCommContext to be compatible with Paddle (#31359)
      
      * [NPU] add npu kernel for communication op (#31437)
      
      * add allreduce and broadcast without test
      
      * add c_broadcast_test case
      
      * build c_comm_init and c_create_group operators
      
      * make the whole thing compile
      
      * add broadcast and init op test case but run failed
      
      * make unit test compile
      
      * fix broadcast test bug and change into hcom for ccl
      
      * change c_comm_init and c_create_group ops accordingly
      
      * make tests compile
      
      * transfer code to 27
      
      * compiled successfully in 28, but run failed
      
      * test broadcast in 28, but failed
      
      * make hcom primitives work
      
      * change hccl data type for base.h
      
      * fix broadcast bug
      
      * make attributes work
      
      * fix group name bug
      
      * add allreduce but test failed
      
      * allreduce bug for qiuliang
      
      * allreduce finished
      
      * add allgather and reducescatter
      
      * merge all op code
      
      * add allgather test
      
      * finish run all ccl op test exclude send/recv
      
      * all all op and test exclude send/recv
      
      * send_v2_npu.cc recv_v2_npiu.cc compiled
      
      * fix ccl core dump bug and test allgather, reducescatter, broadcast op
      
      * fix allreduce bug just for test
      
      * hcom send&recv test pass, without hcom_destroy
      
      * for qiuliang test
      
      * Ascend Send&Recv Test Pass
      
      * all op (ex send/recv) ok
      
      * fix bug
      
      * merge all ccl op
      
      * style merge to PaddlePaddle
      
      * merge style
      
      * new merge style
      
      * merge style 2
      
      * insert an empty at the end
      
      * disable ctest for hcom to pass ci
      Co-authored-by: Nvoid-main <voidmain1313113@gmail.com>
      Co-authored-by: Nf2hkop <f2huestc@outlook.com>
      
      * Add auto-increasing tag id for Hcom OPs (#31702)
      
      * add c_reduce_sum op (#31793)
      
      add c_reduce_sum op
      
      * update Ascendrc hccl to 20.3 (#32126)
      
      update Ascendrc hccl to 20.3 (#32126)
      
      * fix merge code
      
      * change cmake.txt1
      
      * [NPU] Support npu kernel for c sync stream op (#31386)
      
      * sync stream npu op
      
      * add with_ascend_acl
      
      * update c++ unittest
      
      * compile all failed
      
      * try to pre commit
      
      * after pre commit
      
      * merge&compile&test hccl successfully!
      
      * fix code style
      
      * fix code style
      
      * fix bugs about hccl
      
      * fix some bugs
      
      * fix code style
      
      * fix style
      
      * fix style
      
      * fix
      
      * fixed
      
      * merge develop
      Co-authored-by: Nlw921014 <liuwei921014@yeah.net>
      Co-authored-by: NVoid Main <voidmain1313113@gmail.com>
      Co-authored-by: Nf2hkop <f2huestc@outlook.com>
      Co-authored-by: Nxiayanming <41795079@qq.com>
      c3158527
  24. 07 4月, 2021 1 次提交
    • Z
      【NPU】Merge ascend GE&distributed code by 0208 from ascendrc (#31957) · 8c7c53b3
      zhang wenhui 提交于
      * Ascend rc (#30483)
      
      * Fix compilcation on CANN20.1 and older (#30494)
      
      Fix compilcation on CANN20.1 and older
      
      * Add distribution supported (#30578)
      
      Add distribution supported
      
      * Build praser for Hcom* operators (#30627)
      
      Build praser for Hcom* operators
      
      * Pass device_ids info from launch to trainer. (#30632)
      
      Pass device_ids info from launch to trainer
      
      * Add Hccl program group (#30642)
      
      Add Hccl program group
      
      * Add startup bash files of test_ascend_group. (#30645)
      
      Add startup bash files of test_ascend_group
      
      * cleanup (#30646)
      
      cleanup test_ascend_group.py
      
      * [Feature] Build parser to support distributed training (#30658)
      
      [Feature] Build parser to support distributed training
      
      * fix compilation on ascend-20.1 (#30722)
      
      fix compilation on ascend-20.1
      
      * Dev/fix ascend string (#30749)
      
      Dev/fix ascend string
      
      * code style (#30781)
      
      code style
      
      * Merge ascend_optimizer and ascend_parser. (#30776)
      
      Merge ascend_optimizer and ascend_parser.
      
      * Ascendrc add converted op : [range/equal/range/uniform_random/expand/squeeze], fix cast op bug  (#30797)
      
      Ascendrc add converted op : [range/equal/range/uniform_random/expand/squeeze], fix cast op bug
      
      * Add paddle ascend distribution training supported (#30796)
      
      Add paddle ascend distribution training supported
      
      * pass cxx_flags to gloo cmake (#30857)
      
      * Destroy session first. (#30954)
      
      Destroy session first.
      
      * merge
      
      * fix, test=develop
      
      * fix, test=develop
      
      * fix style, test=develop
      
      * fix, test=develop
      
      * fix
      
      * fix log fatal, test=develop
      
      * fix enforce style, test=develop
      
      * fix, test=develop
      
      * fix, test=develop
      
      * fix rccl, test=develop
      
      * fix test, test=develop
      
      * fix, test=develop
      
      * fix, test=develop
      
      * fix, test=develop
      
      * fix node_num, test=develop
      
      * fix ids str, test=develop
      
      * fix ids str, test=develop
      
      * fix ids str, test=develop
      
      * fix, test=develop
      
      * fix, test=develop
      
      * fix, test=develop
      
      * fix, test=develop
      
      * fix, test=develop
      
      * fix, test=develop
      
      * fix, test=develop
      
      * fix, test=develop
      
      * fix style code, test=develop
      
      * fix style code, test=develop
      
      * fix style code, test=develop
      
      * fix style code, test=develop
      Co-authored-by: Nhutuxian <hutuxian2011@sina.cn>
      Co-authored-by: Ngongweibao <weibao.gong@gmail.com>
      Co-authored-by: NVoid Main <voidmain1313113@gmail.com>
      Co-authored-by: NLeo Chen <chenqiuliang@baidu.com>
      Co-authored-by: Ndingsiyu <18369187719@163.com>
      Co-authored-by: NOleNet <olenet@126.com>
      8c7c53b3
  25. 01 4月, 2021 1 次提交
  26. 26 3月, 2021 1 次提交
  27. 17 1月, 2021 1 次提交
  28. 15 1月, 2021 1 次提交
    • P
      Add Inplace strategy (Output reuse Input Varbase) in dygraph (#30103) · 13d75736
      pangyoki 提交于
      * add view strategy on squeeze,unsqueeze,reshape,flatten
      
      * add squeeze unittest
      
      * add unittests
      
      * use View strategy as name rather than Reuse Allacation
      
      * fix view api doc
      
      * fix format
      
      * use core.ops when input of reshape2 is Tensor
      
      * fix test_cross_entropy_loss error because of reshape2
      
      * fix test_cross_entropy_loss error because of reshape2
      
      * add inplace strategy
      
      * add elementwise_add sub
      
      * let backward op not use inplace
      
      * grad op do not use inplace
      
      * fix memory increase error and add leaf error message
      
      * delete selected_rows
      
      * change op_function
      
      * little change
      
      * solve HandleViewBetweenInputAndOutput
      
      * add unittest and leaf error message
      
      * merge view error
      
      * optimize op_function_generator format and support sum inplace op
      
      * fix format of basic_engine
      
      * fix format for framework
      
      * little change of variable wrapper
      
      * add reshape, squeeze, unsqueeze, scatter api
      
      * add relu elu tanh softmax inplace api
      
      * fix test_squeeze_op unittest
      
      * fix test_relu_op unittest
      
      * fix comment problems
      
      * delete sample code of inplace api
      
      * add reference of grad_pending_nodes in basic_engine
      
      * fix unittest name
      
      * add inplace apis into wlist
      
      * fix error message
      
      * add PADDLE_ENFORCE for set grad op twice
      
      * fix head file error
      13d75736
  29. 09 1月, 2021 1 次提交
    • P
      add View(reuse allocation) strategy on squeeze, unsqueeze, reshape, flatten op (#29913) · da16b33f
      pangyoki 提交于
      * add view strategy on squeeze,unsqueeze,reshape,flatten
      
      * add squeeze unittest
      
      * add unittests
      
      * use View strategy as name rather than Reuse Allacation
      
      * fix view api doc
      
      * fix format
      
      * use core.ops when input of reshape2 is Tensor
      
      * fix test_cross_entropy_loss error because of reshape2
      
      * delete selected_rows
      
      * change op_function
      
      * little change
      
      * solve HandleViewBetweenInputAndOutput
      da16b33f
  30. 08 1月, 2021 1 次提交
    • L
      Fix dtype of ungenerated grad var (#28511) · 8696335f
      Leo Chen 提交于
      * fix dtype of ungenerated grad var
      
      * update ut
      
      * refine code
      
      * set default dtype
      
      * fix could_use_cudnn bug
      
      * remove debug code
      
      * re-implement
      
      * fix bug
      8696335f
  31. 07 1月, 2021 1 次提交
  32. 06 1月, 2021 1 次提交
  33. 02 12月, 2020 1 次提交
    • Z
      Add pure fp16 training with master weights. (#27712) · be3777a5
      Zhen Wang 提交于
      * add the weight decay func for the momentum op
      
      * Add the multi_precision function in Momentum Optimizer.
      
      * Make sure that the initial value of master weights are same with the fp16 weights.
      
      * add static loss scaling.
      
      * add the rescale_grad function in the pure fp16 training.
      
      * use the original momentum updating method.
      
      * Polish some codes, such as variable names.
      
      * add docstring for apis.
      
      * update the var creation details of _create_master_weight.
      
      * not modify codes about imperative momentum updating.
      
      * Fix the error of test_dist_sparse_tensor_load_momentum UT.
      
      * add unit test for multi precision fp16 training.
      
      * add more unit tests for CI.
      
      * Use lower threshold values for allclose comparing in test_multi_precision_fp16_train UT.
      
      * For CI Coverage Checking.
      be3777a5
  34. 18 11月, 2020 1 次提交
  35. 02 11月, 2020 1 次提交