“8c4e1dccf2e11dbb4f50eef3f9a325ba31076152”上不存在“ppocr/data/git@gitcode.net:paddlepaddle/PaddleOCR.git”
- 09 2月, 2022 1 次提交
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由 Jiabin Yang 提交于
* merge legacy to fluid * Remove legacy code * Remove legacy code * Remove DataType test * Using Tensor directly instead of using EagerTensor * support gradient_accumulation * make test_imperative_lod_tensor_to_selected_rows longer * make test_imperative_lod_tensor_to_selected_rows longer
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- 28 1月, 2022 1 次提交
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由 Weilong Wu 提交于
* Refactor TensorAdd func by template and remove gradient_accumulation in eager * Remove needless target name * Use overload instead of template
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- 13 1月, 2022 1 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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- 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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- 25 11月, 2021 1 次提交
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由 Zhanlue Yang 提交于
* Added GradTensorHolder to Eager Dygraph * Added accumulation codes to Eager Dygraph * Fix windows-ci issue * Fix NPU-CI issue * Fixed CI-Coverage issue
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