- 22 9月, 2022 7 次提交
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由 Sławomir Siwek 提交于
* gaussian random * mkldnn to onednn renaming * fix merge conflicts * remove fluid code * onednn renaming * gelu fwd * sort activations * gelu gradient * remove unused macros * merge conflicts * fix merge conflicts * remove extra contraint from gelu op
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由 Leo Chen 提交于
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由 Yuanle Liu 提交于
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由 Hui Zhang 提交于
* fix sub sign reverse for mkldnn * refactor code as comment * remove useless * format code
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由 Haohongxiang 提交于
* fix bugs of mp * fix bugs of mp * update * update * fix bug
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由 carryyu 提交于
* Optimize topk's performance when k is small and input_width is large * 修改blockdim设置逻辑 * Update top_k_function_cuda.h
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由 Chenxiao Niu 提交于
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- 21 9月, 2022 7 次提交
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由 ccrrong 提交于
* add fp16 support * update * update half * code format * fix unittest * fix rocm compile error * code format * code format * fix rocm compile error * fix rocm compile error
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由 Piotr Paturej 提交于
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由 RichardWooSJTU 提交于
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由 ykkk2333 提交于
* migrate sigmoid with cross entropy, and tile xpu kernels to phi, test=kunlun * migrate add_n kernep to phi, test=kunlun
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由 Piotr Paturej 提交于
[PHI] Migrate concat+grad, expand+grad, fill_constant, nearest_interp and bilinear_interp oneDNN kernels (#45863) * Migrate concat+grad, expand+grad, fill_constant, nearest_interp_v2 and bilinear_interp_v2 oneDNN kernels to PHI * Remove old namespace variable * Fix invalid out dims error * Add mutable_data method to concat output * Add check for -1 dim before computing out_dims * Capitalize oneDNNGetDataType function name * Change fill_constant kernel to correct PHI kernel * Attempt to fix dims error * Fix fill_constant (full) kernel
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由 jiahongyu 提交于
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由 Nyakku Shigure 提交于
* [CodeStyle] remove tabs in cpp files * update comment format
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- 20 9月, 2022 11 次提交
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由 Sławomir Siwek 提交于
* init * remove softmaxop * merge dev * correct dir * style
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由 Piotr Paturej 提交于
* Convert split, pad and pad3d kernels * Convert slice+grad oneDNN fluid kernels to PHI * change out->mutable_data to dev_ctx.Alloc
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由 jakpiase 提交于
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由 Paulina Gacek 提交于
* First approach * Shape kernel corrected * Compilation error fixed * Resize corrected * Registered types added * Mistake corrected & types added * sum kernel deleted
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由 YuanRisheng 提交于
* move_merge_selected_rows * update code
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由 Nyakku Shigure 提交于
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由 jiahongyu 提交于
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由 jiahongyu 提交于
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由 ronnywang 提交于
* [NPU] fix run_program_op, test=develop * [NPU] fix matmul_v2 in cann502, test=develop
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由 zyfncg 提交于
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由 HongyuJia 提交于
* polish code comments * polish data_device_transform.cc
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- 19 9月, 2022 3 次提交
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由 zyfncg 提交于
* clear extra attr of some ops in opmaker * revert clear use_cudnn for pool * fix test_operator_desc * fix Attr interface of OperatorBase
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由 zyfncg 提交于
* fix wrong eigen header include * fix complie bug * fix nan_inf_utils_detail * fix resource_manager * fix conv_miopen_helper
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由 YuanRisheng 提交于
* move sum * fix ci bugs * fix ci bugs * fix set_lod bugs * fix infershape bugs * fix ci bugs * fix ci unittest bug * fix ci bugs * perfect code * update code according comment * add unittest * fix ci bugs
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- 18 9月, 2022 2 次提交
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由 RichardWooSJTU 提交于
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由 YuanRisheng 提交于
* perfect softmax functor * fix compile bugs * fix ci bugs
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- 17 9月, 2022 1 次提交
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由 Yuanle Liu 提交于
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- 16 9月, 2022 2 次提交
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由 zyfncg 提交于
* clear extra attr of scale in opmaker * fix sum bug * fix merge conflict * fix minus
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由 Xiaoxu Chen 提交于
* add reduce_mean,reduce_sum primitive ops * add ne_p gt_p primitive operators * add ge_p abs_p primitive oparators * add cast primitive operators * add pow,square prim2oirg rules * add elementwise_div orig2prim rule
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- 15 9月, 2022 6 次提交
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由 HongyuJia 提交于
* refine PADDLE_WITH_MKLDNN code * fix data_norm_op * polish addmm_op
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由 Jacek Czaja 提交于
* - mul & matmul changes - fix - bs16 correction of strides * - cosmetic fixes * - lint * - fix * - fix * - format -> mem_desc * - fix * - fix * - fix * - fix * - fix
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由 zyfncg 提交于
* clear extra attrs of elementwise op in opmaker * fix op_debug_string_test * fix bug of grad_add * fix sort of runtime attrs
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由 WangZhen 提交于
Support 0 shapes input Tensor for MKL slice kernel
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由 Nyakku Shigure 提交于
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由 weishengying 提交于
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- 14 9月, 2022 1 次提交
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由 Jiabin Yang 提交于
* support bmm and bmm_grad in xpu * add error removal * test=kunlun * refactor code for better structure * test=kunlun * add fp16 kernel for bmm * test=kunlun
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