- 25 10月, 2022 1 次提交
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由 zhouweiwei2014 提交于
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- 21 10月, 2022 1 次提交
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由 zhangyikun02 提交于
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- 18 10月, 2022 1 次提交
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由 houj04 提交于
* [XPU] update xpu cmake to 1016. test=kunlun * fix special case of transpose op. test=kunlun
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- 17 10月, 2022 2 次提交
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由 YuanRisheng 提交于
* namespace modify * update by comment
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由 Leo Guo 提交于
test=kunlun
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- 30 9月, 2022 1 次提交
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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 * fix bugs of tipc, test=kunlun
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- 29 9月, 2022 2 次提交
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由 Leo Guo 提交于
Add index_select, index_select_grad, reduce_min kernel and their unittests for kunlun. Add registers of index_select, index_select_grad, reduce_min, sqrt, sqrt_grad to xpu2_op_list.test=kunlun. (#46557)
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由 houj04 提交于
* [XPU] update xpu cmake to 0923. test=kunlun * [XPU] update xpu cmake to 0928. test=kunlun
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- 27 9月, 2022 1 次提交
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由 Leo Guo 提交于
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- 23 9月, 2022 1 次提交
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由 dongfangshenzhu 提交于
* add phi reduce_sum test=kunlun * add fhi reduce_sum test=kunlun * add fhi reduce_sum test=kunlun
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- 21 9月, 2022 1 次提交
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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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- 20 9月, 2022 1 次提交
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由 houj04 提交于
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- 14 9月, 2022 3 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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由 Leo Guo 提交于
Migrate scale and scatter to phi, and modify the code style for roi_align_kernel. test=kunlun (#45938)
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由 ykkk2333 提交于
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- 13 9月, 2022 1 次提交
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由 ykkk2333 提交于
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- 08 9月, 2022 1 次提交
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由 Leo Guo 提交于
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- 07 9月, 2022 3 次提交
- 06 9月, 2022 4 次提交
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由 ykkk2333 提交于
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由 ykkk2333 提交于
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由 Chen Weihang 提交于
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由 houj04 提交于
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- 05 9月, 2022 5 次提交
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由 Aurelius84 提交于
* [OpAttr]Fix complation error of XPU from Pool2dGradKernel * test=kunlun
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由 HongyuJia 提交于
* migrate memcpy to phi * fix typo error * fix typo error * fix bug and testcase * fix typo, uniform_random_kernel.cc header * fix Alloc pinned bug * change GPUContext::GetPinnedPlace * add GetPinnedPlace function * add GetPinnedPlace function * restore default throw error * fix Unimplemented error * skip StandaloneExecutor testcase * delete memcpy_sig
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由 enzodechine 提交于
* move one_hot_v2, p_norm, p_norm_grad to phi * move one_hot_v2, p_norm, p_norm_grad to phi test=kunlun * remove unused header file * remove unused header file test=kunlun
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由 risemeup1 提交于
* move elementwise_sub and elementwise_sub_grad XPU kernel to PHI,test=kunlun * modify code style,test=kunlun * modify elementwise_subtract_grad_kernel.cc,test=kunlun * modify elementwise_subtract_kernel.cc,test=kunlun * modify elementwise_subtract_grad_kernel.cc,test=kunlun * modify elementwise_kernel.cc and elementwise_subtract_kernel.cc,test=kunlun * modify codestyle,test=kunlun * modify elementwise_kernel.cc,test=kunlun
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由 Aurelius84 提交于
* [OpAttr]ksize of pool2d support Tensor type * fix unittest * add unittest
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- 02 9月, 2022 7 次提交
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由 ykkk2333 提交于
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由 ykkk2333 提交于
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由 ykkk2333 提交于
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由 taixiurong 提交于
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由 z8hanghuan 提交于
* move stack op to phi, *test=kunlun * move stack op to phi, *test=kunlun * move stack op to phi, *test=kunlun * move stack op to phi, *test=kunlun * move stack op to phi, *test=kunlun * move stack to phi,*test=kunlun
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由 Chen Weihang 提交于
* add batch norm xpu kernel * add batch_orm_grad xpu kernel, test=kunlun * fix lost changing error, test=kunlun * remove batch norm op xpu, test=kunlun * fix dtype error, test=kunlun * fix const deduce error, test=kunlun
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由 Aurelius84 提交于
* [XPU]Migrate Adam XPU kernel into Phi * test=kunlun
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- 01 9月, 2022 4 次提交
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由 taixiurong 提交于
test=kunlun
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由 HongyuJia 提交于
* copy kernel file to phi * delete some code * migrate uniform_random, test=kunlun * fix input error, test=kunlun * fix gpu register error, test=kunlun * add include file, test=kunlun * try fix error from CI, test=kunlun * polish other PR * fix CI-coverage error, test=kunlun
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由 xiongkun 提交于
* tranfer xpu: conv2d into phi * tranfer xpu: conv2d into phi test=kunlun * test=kunlun * test=kunlun * test=kunlun
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由 Aurelius84 提交于
* [XPU]Migrate adamw XPU kernel into Phi * test=kunlun * test=kunlun
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