Coverage for  / home / jenkins / .local / lib / python3.10 / site-packages / hyper_parallel / platform / mindspore / custom_ops / custom_ops.py: 70%

1# Copyright 2026 Huawei Technologies Co., Ltd 

2# 

3# Licensed under the Apache License, Version 2.0 (the "License"); 

4# you may not use this file except in compliance with the License. 

5# You may obtain a copy of the License at 

6# 

7# http://www.apache.org/licenses/LICENSE-2.0 

8# 

9# Unless required by applicable law or agreed to in writing, software 

10# distributed under the License is distributed on an "AS IS" BASIS, 

11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 

12# See the License for the specific language governing permissions and 

13# limitations under the License. 

14# ============================================================================ 

15"""MindSpore platform custom ops delegation to DFunction wrappers. 

16 

17.. warning:: 

18 This is an experimental API that subject to change or deletion. 

19""" 

20 

21from hyper_parallel.platform.mindspore.custom_ops.custom_op_impl import ( 

22 NpuDenseLightningIndexerGradKlLossDFunction, 

23 NpuDenseLightningIndexerSoftmaxLseDFunction, 

24 NpuMhcPostDFunction, 

25 NpuMhcPreClampSinkhornDFunction, 

26 NpuMhcPreSinkhornDFunction, 

27 NpuSparseLightningIndexerGradKlLossDFunction, 

28) 

29 

30 

31class MindSporeCustomOps: 

32 """Delegates custom operator calls to DFunction-based implementations.""" 

33 

34 @staticmethod 

35 def npu_dense_lightning_indexer_softmax_lse(*args, **kwargs): 

36 """Compute dense lightning indexer softmax log-sum-exp via custom NPU operator.""" 

37 return NpuDenseLightningIndexerSoftmaxLseDFunction.apply(*args, **kwargs) 

38 

39 @staticmethod 

40 def npu_dense_lightning_indexer_grad_kl_loss(*args, **kwargs): 

41 """Compute dense lightning indexer KL-loss gradient via custom NPU operator.""" 

42 return NpuDenseLightningIndexerGradKlLossDFunction.apply(*args, **kwargs) 

43 

44 @staticmethod 

45 def npu_sparse_lightning_indexer_grad_kl_loss(*args, **kwargs): 

46 """Compute sparse lightning indexer KL-loss gradient via custom NPU operator.""" 

47 return NpuSparseLightningIndexerGradKlLossDFunction.apply(*args, **kwargs) 

48 

49 @staticmethod 

50 def npu_mhc_post(*args, **kwargs): 

51 """Apply the NPU MHC post-processing custom operator.""" 

52 return NpuMhcPostDFunction.apply(*args, **kwargs) 

53 

54 @staticmethod 

55 def npu_mhc_pre_sinkhorn(*args, **kwargs): 

56 """Apply the NPU MHC pre-Sinkhorn custom operator.""" 

57 return NpuMhcPreSinkhornDFunction.apply(*args, **kwargs) 

58 

59 @staticmethod 

60 def npu_mhc_pre_clamp_sinkhorn(*args, **kwargs): 

61 """Apply the clamped NPU MHC pre-Sinkhorn custom operator.""" 

62 return NpuMhcPreClampSinkhornDFunction.apply(*args, **kwargs)