- 12 4月, 2019 3 次提交
-
-
由 Qiao Longfei 提交于
-
由 Qiao Longfei 提交于
-
由 Qiao Longfei 提交于
-
- 25 3月, 2019 1 次提交
-
-
由 dengkaipeng 提交于
-
- 20 3月, 2019 2 次提交
-
-
由 phlrain 提交于
-
由 dengkaipeng 提交于
-
- 18 3月, 2019 2 次提交
-
-
由 dengkaipeng 提交于
-
由 phlrain 提交于
-
- 14 3月, 2019 2 次提交
-
-
由 sneaxiy 提交于
test=develop
-
由 Zeng Jinle 提交于
test=develop
-
- 12 3月, 2019 1 次提交
-
-
由 sneaxiy 提交于
test=develop
-
- 08 3月, 2019 3 次提交
-
-
由 tensor-tang 提交于
test=develop
-
由 Yiqun Liu 提交于
Make parent_idx a dispensable output for beam_search op to support models saved by older paddle version. (#16106) test=develop
-
由 Yiqun Liu 提交于
Make parent_idx a dispensable output for beam_search op to support models saved by older paddle version. (#16106) test=develop
-
- 07 3月, 2019 1 次提交
-
-
由 tensor-tang 提交于
test=develop
-
- 04 3月, 2019 3 次提交
-
-
由 Yiqun Liu 提交于
test=develop
-
由 Yihua Xu 提交于
test=develop
-
由 Qiao Longfei 提交于
-
- 28 2月, 2019 1 次提交
-
-
由 Yiqun Liu 提交于
test=develop
-
- 26 2月, 2019 1 次提交
-
-
由 Yihua Xu 提交于
test=develop
-
- 22 2月, 2019 2 次提交
-
-
由 tensor-tang 提交于
* Revert "Optimze Gelu with MKL Erf function (#15770)" This reverts commit 676995c8. * test=develop
-
由 Yihua Xu 提交于
* Optimize for gelu operator * Set up the low accuracy mode of MKL ERF function. test=develop * Only enable MKLML ERF when OS is linux * Use the speical mklml version included vmsErf function to verify gelu mkl kernel. test=develop * Add the CUDA macro to avoid NVCC's compile issue. test=develop * Add the TODO comments for mklml library modification. test=develop * Clean Code test=develop * Add the comment of marco for NVCC compiler. test=develop
-
- 19 2月, 2019 1 次提交
-
-
由 xuezhong 提交于
test=develop
-
- 11 2月, 2019 1 次提交
-
-
由 xuezhong 提交于
test=develop
-
- 02 2月, 2019 1 次提交
-
-
由 peizhilin 提交于
test=develop
-
- 30 1月, 2019 5 次提交
- 29 1月, 2019 3 次提交
-
-
由 tensor-tang 提交于
test=develop
-
由 tensor-tang 提交于
test=develop
-
由 tensor-tang 提交于
test=develop
-
- 24 1月, 2019 2 次提交
-
-
由 Yiqun Liu 提交于
* Refine the beam_search op and test. * A basic CUDA implementation of beam_search for small batch_size. * Implement CUDA kernel for beam_search_op. * Use multiple CUDA threads in the same block to select the top beam. * Update the python api of beam_search op. * Enable extend function in CPU kernel of beam_search op. * Unify the CUDA codes. test=develop * Unify the CPU kernel of beam_search op. * Ensure the seletced items of beam_search_op's CPU kernel sorted by scores. * Update the description of beam_search in API.spec. * Enable the use of CUDA kernel in beam_search op. * Exclude the beam_search's CUDA unittest when there is no CUDA gpu, and delete some debuging statements. test=develop * Follow comments. test=develop * Call the CPU kernel for beam_search op when batch_size > 4. test=develop * Remove the except of is_empty op in PrepareData. test=develop
-
由 tangwei12 提交于
* nce add check sample lables, test=develop
-
- 21 1月, 2019 1 次提交
-
-
由 Dun 提交于
* mem opt * test=develop * test=develop * test=develop * test=develop * test=develop * test=develop * test=develop * refine code test=develop * refine code test=develop * refine code test=develop * refine code test=develop * refine with cub test=develop * fix mkldnn test && remove comments && test=develop * polish code && test=develop * add only_forward test && test=develop
-
- 18 1月, 2019 1 次提交
-
-
由 zhaozhehao 提交于
* refactor tree2col operator with new memory mechanism test=develop * test=develop * test=develop * Modified API according to panyx0718 test=develop * fix API change according to heavengate test=develop * Modify API comment test=develop
-
- 14 1月, 2019 1 次提交
-
-
由 Qiao Longfei 提交于
-
- 13 1月, 2019 2 次提交
-
-
由 Qiao Longfei 提交于
-
由 Qiao Longfei 提交于
-