- 05 1月, 2022 6 次提交
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由 wanghuancoder 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 * eager test case * support inference test * refine test and fix initializer failed * modify eagertensor patch method * add eagertensor.clear_grandint, test=develop * refine, test=develop * refine, test=develop * refine, test=develop * call monkey_patch_varbase in _test_eager_guard, test=develop * split clear_gradient to clear_gradient and zero_grads, test=develop * refine, test=develop * refine, test=develop * refine, test=develop Co-authored-by: Njim19930609 <jim19930609@gmail.com> Co-authored-by: NJiabinYang <360788950@qq.com>
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由 wawltor 提交于
* add the examples for the mm * fix the document of paddle.mm
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由 jakpiase 提交于
* fix for matmul_v2 broadcasting * fix for output shape not broadcasted
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由 joanna.wozna.intel 提交于
* Quantize nearest_interp and nearest_interp_v2 * Check if avx_core supported * Add depthwise_conv2d to supported quantization list
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由 TTerror 提交于
* add huber_loss for kunlun * update xpu.cmake * update unitests * update unitests * update elementwise_add * update elementwise_add * update elementwise_add
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由 Weilong Wu 提交于
* Support EagerTensor init with kwargs * Updated comments * Updated unit tests case * Refactor InitTensor related code to reduce duplicate code * Updated the error reporting msg * Updated VLOG msg * Merge develop and Update EagerTensor init func * Polish switch case, reduce some code * Add SyntaxError unit test case * Refactor the related initialization func of EagerTensor * Remove ParseStopGradient and ParseZeroCopy and ParsePersistable, construct ParseBooleanArgs instead. * Updated error msg to pass CI * Updated PADDLE_ENFORCE error type
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- 04 1月, 2022 8 次提交
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由 Leo Chen 提交于
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由 YuanRisheng 提交于
* change 'math' to 'math_kernel' * fix compile bugs * merge develop * fix compile bugs * move cpu_impl of elementwise kernel to new directory
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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 0x45f 提交于
* fix error when set buffer in forward * add unittest * refine class name * refine not framework.in_dygraph_mode() in if * fix UT error * add comment * refine code * remove useless import
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由 Weilong Wu 提交于
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由 wanghuancoder 提交于
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- 31 12月, 2021 13 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>
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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 Xiaoxu Chen 提交于
* add beta distribution * add kl_divergence and register_kl api
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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 JYChen 提交于
* add new api paddle.quantile and paddle.Tensor.quantile * add take_todo and fix UT
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由 zhiboniu 提交于
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由 xiayanming 提交于
* [Auto Parallel] add gradient merge pass * fix ci issue * fix ci issue * fix ci issue * fix ci issue * fix ci issue * fix ci issue * fix ci issue * fix ci issue * fix ci issue * fix pr review * fix pr review * fix pr review * fix pr review * fix pr review * fix pr review
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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 Double_V 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 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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- 30 12月, 2021 13 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 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 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 jakpiase 提交于
* working test for padding only * added full conv2d grad kernel * removed some trash * minor change * Ci fix * format fix
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由 zmxdream 提交于
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由 Chen Weihang 提交于
* remove offset in storage * revert api change * fix custom op slice bug * fix mutable_data error
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由 Xiaoxu Chen 提交于
* extend Distribution baseclass for supporting multivariant distribution and prob method * add ExponentialFamily base class and entropy using Bregman divergence * add dirichlet probability distribution
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由 Xiaoxu Chen 提交于
* add dirichlet sample op and cpu backend kernel * add Dirichlet op cuda kernel (#6) * add dirichlet op hip kernel Co-authored-by: NFeiyu Chan <chenfeiyu@baidu.com>
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由 Leo Guo 提交于
* Fix the bug of batch_norm and batch_norm_grad op. Add the "roi_align" and "roi_align_grad" op in xpu2 op list. * Fix the bug of batch_norm and batch_norm_grad op. Add the "roi_align" and "roi_align_grad" op in xpu2 op list. test=kunlun Co-authored-by: NZibin <guozibin@baidu.com>
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