2219 Commits (607cb58ae538fcd7176cc084cc63cb97c20fc354)

Author SHA1 Message Date
  mindspore-ci-bot 6b14a1e85f !3950 Add CI ps test cases. 6 years ago
  mindspore-ci-bot 7ec0b5857a !3977 [MD] Refactor Concatenate Op 6 years ago
  ervinzhang c65670b1a7 changed sampler parameter to support std::move 6 years ago
  mindspore-ci-bot 6aa65da5d2 !3860 Minddata new dataset api ==> Coco 6 years ago
  nhussain 61769b2dd9 fix concat 6 years ago
  ZPaC b10d4d6e0d Add ps ci test cases. 6 years ago
  mindspore-ci-bot b045f47428 !3983 Add ReduceMin fission pass 6 years ago
  mindspore-ci-bot 8dec74908a !4000 improve interface '__bool__' for tensor 6 years ago
  mindspore-ci-bot 617b98f104 !3966 [AutoParallel]Add dropout distributed op 6 years ago
  buxue ace34525cd improve interface '__bool__' for tensor 6 years ago
  mindspore-ci-bot 52689a7dcf !3938 decoupling core and context 6 years ago
  lichenever bfc96de1b9 add dropout distributed op 6 years ago
  peixu_ren b9c8c0b439 Added Bijector TransformDistribution base classes and two instances: power and exp bijectors 6 years ago
  mindspore-ci-bot 98c415a1d5 !3807 serving support acl dvpp process 6 years ago
  xiefangqi bb7bda1d6b new dataset api -- Coco 6 years ago
  huanghui 30000fdb52 add ReduceMin fission pass 6 years ago
  mindspore-ci-bot a301fc1757 !3916 remove loss_scale range check which is a temp fix. 6 years ago
  liubuyu d81862a916 decoupling core and context 6 years ago
  xuyongfei c0b8df4f7c serving add acl dvpp support, ut tests, return input status string message 6 years ago
  mindspore-ci-bot 55d280e777 !3608 Add gpu support for RandomChoiceWithMask 6 years ago
  mindspore-ci-bot 5827ba9a8a !3940 View code support interface 'all' and 'any' of tensor 6 years ago
  buxue 2c4cb49a11 support interface 'all' and 'any' of tensor 6 years ago
  zhousiyi 7d31deb6fa remove loss_scale range check to make FP32Imm(inf) comparison equal 6 years ago
  mindspore-ci-bot 8b396cea98 !3915 Revert modification of opt 6 years ago
  mindspore-ci-bot 7da26cc0f6 !3928 change type of Shape from int32 to int64 6 years ago
  mindspore-ci-bot 8b3e6496ac !3127 [pynative]pynative steps infer once 6 years ago
  mindspore-ci-bot bac1781539 !3648 Add some testing cases for mindspore.profiler 6 years ago
  mindspore-ci-bot c3edfe12bc !3715 Update python pattern expression 6 years ago
  Yi Huaijie 80bdcab982 temporarily cast between int64 and int32 to wait ME support int64 6 years ago
  mindspore-ci-bot af9398b39a !3756 Change distribution api 6 years ago
  Yi Huaijie 518cb80133 change type of Shape from int32 to int64 6 years ago
  kpy a09565389c optimize infer in pynative mode 6 years ago
  mindspore-ci-bot 2da29bce66 !3370 same graph used in different context should be treat differently. 6 years ago
  simson 3617121ccf revert modification of opt 6 years ago
  mindspore-ci-bot 277cfc2caf !3904 回退 'Pull Request !3103 : change type of Shape from int32 to int64' 6 years ago
  mindspore-ci-bot de635b12ef !3467 Performance optimization of embedding lookup cpu kernel 6 years ago
  suteng 19e45ccdb1 回退 'Pull Request !3103 : change type of Shape from int32 to int64' 6 years ago
  mindspore-ci-bot aa65cbf733 !3846 Add TBE op SquaredDifference\Xdivy\Xlogy for VM. 6 years ago
  mindspore-ci-bot 6f7f376b1c !3821 Decouple ME and TBE by the IPC way. 6 years ago
  yujianfeng 57cb1eeb14 Performance optimization of embedding_lookup 6 years ago
  mindspore-ci-bot 657b547116 !3103 change type of Shape from int32 to int64 6 years ago
  mindspore-ci-bot 27a0a2e333 !3880 fix auto mix precision issue in pynative 6 years ago
  mindspore-ci-bot a182a87a6d !3820 support tensor attr shape and dtype in graph mode 6 years ago
  liuxiao93 374b7b8583 Add TBE op SquaredDifference for VM. 6 years ago
  kingfo 577535b387 fix gradients issue in pynative 6 years ago
  buxue b075674cf2 support tensor attr shape and dtype in graph mode 6 years ago
  Yi Huaijie 15d5cc396d change type of Shape from int32 to int64 6 years ago
  mindspore-ci-bot be507b96e0 !3473 [refine]change base class of parameter 6 years ago
  zhousiyi f926650c64 if AbstractFunction comparison succeed in NewContext, then the evaluator should use the same one, otherwise one of the evaluator will not be evaluated. 6 years ago
  BowenK 6d4c07c886 Update python pattern expression 6 years ago