- 04 1月, 2022 10 次提交
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由 furnace 提交于
[NPU] add pad and pad_grad
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由 LiYuRio 提交于
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由 jakpiase 提交于
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由 zhangkaihuo 提交于
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由 王明冬 提交于
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由 Zhanlue Yang 提交于
[Unify Tensors PR #3]Port framework::Tensor members & interfaces to pten::DenseTensor, test=allcases (#38473) * Added shared_ptr<Allocation> member & corresponding interfaces to Storage * Removed original pten::Allocation from Storage and adjusted the interfaces accordingly * Fixed issues with storage offset * Used place to malloc allocation for TensorStorage * [Unify Tensors PR #3]Ported framework::Tensor interfaces to pten::DenseTensor * Fixed issues with place * Added comments * Moved mutable_data with stream argument to DenseTensor * Added set_offset interface * Fixed CI issues,test=allcases * [Unify Tensors PR #4] Port LoDTensor interfaces to DenseTensor * Reverted changes too pten_layout() interface * Removed friend classes
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由 houj04 提交于
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由 Chen Weihang 提交于
* move inner cast api to cast_kernel.h * resolve conflit
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由 yaoxuefeng 提交于
heter context support dynamic mf dim
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由 zlsh80826 提交于
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- 31 12月, 2021 18 次提交
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由 Zhangjingyu06 提交于
* [XPU]add split op for kunlun2,*test=kunlun * [XPU]add split op for kunlun2,*test=kunlun * [XPU]add split op for kunlun,*test=kunlun Co-authored-by: NQingshuChen <chenqingshu@baidu.com> -
由 JYChen 提交于
* add new api/op kthvalue * kthvalue cuda kernel to cub sorting * fix example code error * throw errors instead of LOG in cuda sort * throw errors by Paddle_ENFORCE
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由 baoachun 提交于
* add mul_gru_fuse_pass ut * update ut * update ut * update ut timeout setting * update ut
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由 jakpiase 提交于
* glog fix * changed approach
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由 jakpiase 提交于
* 6 dims fix * removed limitations of max dims
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由 YuanRisheng 提交于
* change 'math' to 'math_kernel' * fix compile bugs * merge develop * fix compile bugs * fix compile bugs
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由 zmxdream 提交于
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由 tianshuo78520a 提交于
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由 fwenguang 提交于
* [MLU]support calling mlu op from python interface * [MLU]fix * fix * [mlu]fix mlu_places * [mlu]fix required mlu * fix * [MLU]fix tensor copy * [mlu] fix MLUPlace call path
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由 Wilber 提交于
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由 zhiboniu 提交于
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由 xiaoting 提交于
* add fold opereators, test=develop * add fold opereators, test=develop * add fold opereators, test=develop * update fold op error test, test=develop * fix unitext, test=develop * fix unitext, test=develop
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由 Zhanlue Yang 提交于
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由 Huihuang Zheng 提交于
Paddle new APIs: put_along_axis. Xu Huang is on holiday so we created this PR to work on it. It is based on his PR: https://github.com/PaddlePaddle/Paddle/pull/37921
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由 Chen Weihang 提交于
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由 zhiboniu 提交于
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由 Chen Weihang 提交于
* unify data layout * fix test_transfer_layout error
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由 YuanRisheng 提交于
* change 'math' to 'math_kernel' * fix compile bugs * merge develop * fix compile bugs
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- 30 12月, 2021 12 次提交
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由 zhiboniu 提交于
LGTM
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由 houj04 提交于
* add sigmoid cross entropy with logits to kl1. test=kunlun * add sigmoid cross entropy with logits to kl1. test=kunlun
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由 zhangyk0314 提交于
Add exp, abs_grad, reciprocal, reciprocal_grad operator for XPU and update xpu2_op_list.h,test=kunlun (#38570)
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由 joanna.wozna.intel 提交于
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由 Feng Xing 提交于
This PR adds runtime flags run_kp_kernel, which choose which op to run for xpu2. There are two: dynamic linked and built from kp.
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由 JYChen 提交于
* add new OP mode * rename trans-variable name and fix UT
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由 Yulong Ao 提交于
* [Auto parallel] Make the id of var and op unique * [Auto Parallel] Rename back dist_context to distop_context
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由 Haohongxiang 提交于
* add cpu kernel of lstsq * update * modify code style * modify unittest * remove support for complex
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由 zhangkaihuo 提交于
将cuSparse的handle与DeviceContext进行绑定，避免op中进行创建和销毁 添加对cuSparse中dense和sparse转换的API进行封装 添加对封装的API的单测 -
由 LiYuRio 提交于
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由 Jiabin Yang 提交于
* Rearranged Eager AutoCodeGen directory structure * Removed USE_OP in Eager AutoCodeGen * Enabled generation for Operators without Grad/Inputs/Outputs * Resolved operators without input * Fixed merge conflicts * Enabled Eager AutoCodeGen for 10+ more operators * Refactored Eager AutoCodeGen with more organized helper objects * Enabled Eager AutoCodeGen for operators with multiple OpBases * Adjusted Eager AutoCodeGen to Enable Passing Output Tensor as Input Argument * Handled Dispensable Inputs/Outputs in Eager AutoCodeGen * Adjusted function generation/call between Python-C API & Dygraph API * Synchronized auto-generated Python-C API with Dygraph Forward Functions * support more eager tensor api * fix merge compile error * fix compile error and fit develop code * support pure CPU * fix some logic error in eager_mode * support _varbase_creator in eager mode * Added safe_initialized interface to EagerTensor for use in processing dispensable inputs * for eager mode * refine * support multiple constructor for eager tensor * add place related code * polish code * specific randint with dtype of int64 * Support pure cpu test * eager logic * refine test in pure cpu * eager logic * eager logic * eager logic, test=develop * skip core.eager when in inference, test=develop * refine, test=develop * refine, test=develop * call RetainGrad after run forward kernel, test=develop * refine, test=develop * support dygraph util, meta, guard test * support inference test * refine test and fix initializer failed * support create varbase and fix retain grad error * fix windows error * support test_imperative_basic test in eager mode * remove additional log in variable.h * remove additional log in variable.h * remove additional code create in merge Co-authored-by: Njim19930609 <jim19930609@gmail.com> Co-authored-by: NWang Huan <wanghuan29@baidu.com>
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由 wenbin 提交于
* dynamic shape clone supported
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