- 14 6月, 2018 1 次提交
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由 wanghaoshuang 提交于
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- 01 6月, 2018 3 次提交
- 30 5月, 2018 5 次提交
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由 fengjiayi 提交于
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由 fengjiayi 提交于
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由 mozga-intel 提交于
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由 fengjiayi 提交于
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由 walloollaw 提交于
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- 29 5月, 2018 2 次提交
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由 qingqing01 提交于
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由 fengjiayi 提交于
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- 28 5月, 2018 1 次提交
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由 fengjiayi 提交于
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- 25 5月, 2018 1 次提交
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由 baiyf 提交于
* unify UpsamplingBilinear2d interface specification * unify UpsamplingBilinear2d interface specification * fix name conventions * small fix about computation order
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- 24 5月, 2018 1 次提交
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由 baiyf 提交于
* Expose bilinear operator into Python API * delete unused lines * delete unused lines * fix typos * fix name arg and typos
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- 23 5月, 2018 2 次提交
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由 whs 提交于
* Enhance reduce op for multi dims. * Uncomment some unitest. * Uncomment unitest. * Remove unused code. * Fix infershape and python wrapper. * Add more examples. * Fix l2_normalize. * Fix normalization_wrapper. * Polish code. 1. Rename unitest function. 2. Rename const variable.
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由 Yibing Liu 提交于
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- 22 5月, 2018 2 次提交
- 17 5月, 2018 2 次提交
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由 qingqing01 提交于
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由 zhanghaichao 提交于
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- 04 5月, 2018 1 次提交
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由 Kexin Zhao 提交于
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- 03 5月, 2018 1 次提交
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由 Tomasz Patejko 提交于
* Initial implementation of forward pass for MKLDNN batch norm * Added attributes for MKLDNN batch norm * MKLDNN batch norm forward pass passes unittest. Started working on backward * Backward pass for MKLDNN batch norm added * MKLDNN batch norm: scoring added to forward pass * MKLDNN batch norm: bias as input added; handling AnyLayout when kernel is looked up * MKLDNN batch norm: python unit tests added; mkldnn tests removed * MKLDNN batch norm: changes required by cpplint * MKLDNN batch norm: refactoring the operator * MKLDNN batch norm: saved variance inversed in backward pass for correct execution of MKLDNN unit tests * MKLDNN batch norm: refctoring, function for static/const cast to void* added * MKLDNN batch norm: remove AnyLayout from batch norm * MKLDNN batch norm: only NCHW format is supported. Unittests refactored * MKDNN batch norm: use_mkldnn added to attributes * MKLDNN batch norm: AnyLayout removed from unittest * MKLDNN batch norm: added CUDNN defines to batch norm * MKLDNN batch norm: undefined data_format variable corrected * MKLDNN batch norm: use_cudnn added, use of setUp method for configuring attributes * MKLDNN batch norm: added use_cudnn attribute to batch norm operator * MKLDNN batch norm: correcting batch norm unit tests for MKLDNN * MKLDNN batch norm: MKLDNN tests moved to another file; reverting changes for saved variance not being inverted * Change default layout to NCHW * MKLDNN batch norm: init_kernel_type method added to unit tests * MKLDNN batch norm: style changes * MKLDNN batch norm: unit tests refactored * MKLDNN batch norm: added use_mkldnn attribute to batch norm python interface
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- 27 4月, 2018 1 次提交
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由 dyning 提交于
* modify roi pool with lod and expose ROI Pooling into Python API * make lod code brief * make doc more clearly * make doc more clearly
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- 22 4月, 2018 1 次提交
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由 whs 提交于
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- 18 4月, 2018 1 次提交
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由 qingqing01 提交于
* Add topk Python API. * Add unit test. * Remove the repeated API.
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- 17 4月, 2018 3 次提交
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由 Jacek Czaja 提交于
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由 Jacek Czaja 提交于
- EPS added to softmax mkldnn primitive outcome is limited to training phase Fixes after review clang format fixes clang format fixes
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由 mozga-intel 提交于
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- 16 4月, 2018 1 次提交
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由 guosheng 提交于
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- 12 4月, 2018 1 次提交
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由 Qiao Longfei 提交于
* init * add some check * add dist transpile logic * add insert op for block * init change get_pserver_program * optimize code * fix a bug * can run now * start to do table split * start to process table gradient * complete pserver part * can send_vars now * revert cpplint * fix a bug * optimize code * move dist test to models * revert the interface of distribute_transpiler.transpile * fix prefetch_block * optimize trainspiler code * add comment to sum_op * add warning log * fix comment * fix test_send_recv * fix test_send_recv * fix train with no distributed table * optimize GetDims
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- 11 4月, 2018 1 次提交
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由 wanghaoshuang 提交于
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- 04 4月, 2018 1 次提交
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由 wanghaoshuang 提交于
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- 03 4月, 2018 3 次提交
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由 mozga-intel 提交于
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由 mozga-intel 提交于
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由 mozga-intel 提交于
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- 02 4月, 2018 4 次提交
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由 guosheng 提交于
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由 guosheng 提交于
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由 _青葱 提交于
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由 wanghaoshuang 提交于
1. Add attr 'average' into ParamAttr. 2. Make 'params_grads' optional for AverageModel. 3. Add option 'average_mean' and 'average_variance' for batch_normal.
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- 29 3月, 2018 1 次提交
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由 guosheng 提交于
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