- 09 4月, 2023 1 次提交
-
-
由 Yiqun Liu 提交于
* Register exp/expm1/logit bf16 activation op kernels (#48702) * register more bf16 ops * update to register coresponding backward ops * Addition of bf16 type support for Compare OP (#46413) * first commit * clarify the quotes * change code style format * support bfloat16 * add bfloat16 support for more ops (#48272) * [Bfloat16]register bfloat16 datatype for squared l2 norm (#50908) * Sync the pull request #51903. * Add some header files back. * modify cmake file for cuda11.8 compile (#49020) * modify cmake file for cuda11.8 compile * add op_library(fused_embedding_eltwise_layernorm_op DEPS bert_encoder_functor) * Fix compling error. * Cherry-pick pull request #51396. --------- Co-authored-by: Nsneaxiy <32832641+sneaxiy@users.noreply.github.com> Co-authored-by: Nlimingshu <61349199+JamesLim-sy@users.noreply.github.com> Co-authored-by: Shaojie WANG <wsjmessi@163.com> Co-authored-by: Nzqw_1997 <118182234+zhengqiwen1997@users.noreply.github.com>
-
- 04 8月, 2022 1 次提交
-
-
由 limingshu 提交于
* first commit * add fp16 ctest files for compare op * add cpu register of float16 for compare ops
-
- 05 6月, 2022 1 次提交
-
-
由 Sing_chan 提交于
-
- 12 4月, 2022 1 次提交
-
-
由 Lijunhui 提交于
* init commit no push * collect comile errors * bitwise UT * fix compile problem * cancel comments * restore miss deletion * fix compilation * fix UT * NO stash in multiple branch at the same times * fix error * combine .cu from gpu and kps * replace gpu by kps * fix by Chen-weihang * Revert "Fix kps compile error in Junhui logic compare bitwise" * fix backend test * rm comments Co-authored-by: NChen Weihang <chenweihang@baidu.com>
-
- 08 3月, 2022 1 次提交
-
-
由 Yiqun Liu 提交于
-
- 04 3月, 2022 1 次提交
-
-
由 chentianyu03 提交于
* move reduce gpu impl funcs into pten/kernels/funcs * change reduce header name and namespace * fix spell word error * change mutable_data to dev_ctx.Alloc * modify place to devcontex * format code style * fix build error * fix build error * fix conflict
-
- 03 3月, 2022 1 次提交
-
-
由 From00 提交于
* Move compare OPs to phi * Fix bug * Use BroadcastKernel and ElementwiseKernel in phi
-