- 17 1月, 2022 1 次提交
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由 Jiabin Yang 提交于
* support test_auto_prune_partial * support rest of autoprune strategy in eager mode
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- 15 1月, 2022 1 次提交
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由 Zhanlue Yang 提交于
* Merged LoDTensor with Tensor,test=allcases * Patched python level LoDTensor * Fixed example code failure * Polished function names, removed duplicated forward declarations
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- 14 1月, 2022 2 次提交
- 13 1月, 2022 2 次提交
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由 chentianyu03 提交于
* move dot_dev api into dot_kernel.h * add infermate header * modify to dotkerel in dot_op.h * mvoe conj dev api into complex_kernel.h * move sign dev api into sign_kernel.h * move scale dev api into kernel.h and remove infermete.h * rm paddle/pten/include/math.h * rm paddle/pten/include/math.h * rm include dir * rm paddle/pten/include/math.h * fix conflict with develop branch * rm devContext in conj_op.h * add the missing complex_kernel header
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由 石晓伟 提交于
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- 12 1月, 2022 1 次提交
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由 Jiabin Yang 提交于
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- 11 1月, 2022 1 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 * support create varbase and fix retain grad error * call monkey_patch_varbase in _test_eager_guard, test=develop * fix windows error * split clear_gradient to clear_gradient and zero_grads, test=develop * refine, test=develop * refine, test=develop * 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 * eager * fix some eager logic, test=develop * refine, test=develop * refine, 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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- 10 1月, 2022 2 次提交
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由 Yuang Liu 提交于
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由 Zhanlue Yang 提交于
* 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 * Removed friend class EigenTensor/EigenMatrix/EigenVector from Tensor * Modified framework::Tensor to inherit from DenseTensor * Reverted changes too pten_layout() interface * Removed friend classes * Rearranged cfunction calls from tensor.data<void>() to tensor.data() * Fixed CI issues * Fixed lite issues * Fixed data() interface issues,test=allcases * Resolved IsInitialized() issues * Fixed ResetHolder() issues * Fixed MKLDNN & Storage issues * Resolved ShareBufferWith() issues * Fixed LoD issues
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- 07 1月, 2022 1 次提交
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由 zhangbo9674 提交于
* add multi tensor for adam * add merged_adam op * refine code * refine adam compute logic
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- 06 1月, 2022 1 次提交
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由 wanghuancoder 提交于
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- 05 1月, 2022 2 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 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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- 31 12月, 2021 2 次提交
- 30 12月, 2021 2 次提交
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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 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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- 29 12月, 2021 1 次提交
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由 yaoxuefeng 提交于
add dynamic mf size api
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- 28 12月, 2021 1 次提交
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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 code coverage * support test code coverage * support test code coverage Co-authored-by: Njim19930609 <jim19930609@gmail.com> Co-authored-by: NWang Huan <wanghuan29@baidu.com>
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- 26 12月, 2021 1 次提交
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由 Chen Weihang 提交于
* add register general kernel marco * move copy kernel impl * revert needless change * polish details * fix xpu compil faild * fix xpu compile failed * polish format
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- 24 12月, 2021 3 次提交
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由 zhangbo9674 提交于
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由 Baibaifan 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 Co-authored-by: Njim19930609 <jim19930609@gmail.com> Co-authored-by: NWang Huan <wanghuan29@baidu.com>
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- 23 12月, 2021 1 次提交
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由 zhouweiwei2014 提交于
* add new API: paddle.clone;Tensor.element_size;nn.utils.parameters_to_vector * fix comment
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- 21 12月, 2021 2 次提交
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由 zyfncg 提交于
* add inplace_map for trace_op in pybind * fix inplace problem of setitem * refactor the param format of trace_op Co-authored-by: Npangyoki <pangyoki@126.com>
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由 Yuang Liu 提交于
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- 20 12月, 2021 3 次提交
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由 fwenguang 提交于
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由 zhangbo9674 提交于
* add multi_tensor for momentum and clear_grads for optimizer * fix bug for dygraph * add unittest * refine comment * add param_group * refine regularizaiton logic * del clear_grads * add clear_grads * add dispensable check of None * refine clear_grad * fix build bug * refine code by comment * refine code * add multi tensor check * refine param_group update * add multi tensor for static mode * refine comments * delete useless comma for momentum * refine comment for momentum * refine code by commment
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由 zyfncg 提交于
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- 17 12月, 2021 5 次提交
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由 Jiabin Yang 提交于
* support more eager tensor api * support multiple constructor for eager tensor * add place related code * polish code * specific randint with dtype of int64 * Support pure cpu test * refine test in pure cpu * refine test in pure cpu
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由 sneaxiy 提交于
* support multi precision update for LAMB * hide some api * fix ci uts * fix lamb output of dygraph * remove some changes to some PR * try to fix Py3 CI compile error * fix test_imperative_optimizer, add lars ut, add layer_norm ut * fix ut, fix format * fix ut * fix windows ci
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由 Zhanlue 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 * Generated CoreOpsInfos for potential use in append_op API * Fixed CI problem
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由 kuizhiqing 提交于
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由 Yuang Liu 提交于
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- 16 12月, 2021 3 次提交
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由 Jiabin Yang 提交于
* support eager switch system * polish code
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由 Liu-xiandong 提交于
Add key_padding_mask and attn_mask in sparse_attention Api 1.Key padding mask is a tensor with dimensions [batch_size, seq_len], and attention mask is a tensor with dimensions [seq_len, seq_len]. The data types of the two masks are consistent with Q, K, and V, which are float32 or float64. If the value in Mask is 0, it means that the position needs to be masked. 2.The changed files are mainly paddle/fluid/operators/sparse_attention_op.cu and python/paddle/fluid/tests/unittests/test_sparse_attention_op.py. sparse_attention has three parts: sddmm, softmax, and dsd. Adding the mask operation only needs to modify the softmax. It has no effect on the other two parts. In addition, in order to test the mask function, related tests has been added.
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由 Zhanlue 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 * Enabled Eager AutoCodeGen for All Existing Operators & Possible Future Operators * Fixed CI issues
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- 15 12月, 2021 1 次提交
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由 Zhanlue 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 * Added safe_initialized interface to EagerTensor for use in processing dispensable inputs
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- 14 12月, 2021 1 次提交
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由 zyfncg 提交于
* fix bug of set_value op * fix BumpInplaceVersion * polish some comments * revert change of full_like
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