Searched refs:rank_list (Results 1 – 11 of 11) sorted by relevance
/third_party/mindspore/tests/ut/python/parallel/ |
D | test_distribute_predict.py | 79 rank_list = _infer_rank_list(train_map, predict_map)["weight"] 80 assert list(rank_list[0]) == [0, 1, 2, 3, 4, 5, 6, 7] 81 assert rank_list[1] is False 88 rank_list = _infer_rank_list(train_map, predict_map) 90 assert rank_list == expect_map 97 rank_list = _infer_rank_list(train_map, predict_map) 99 assert rank_list == expect_map 106 rank_list = _infer_rank_list(train_map, predict_map)["weight"] 107 assert list(rank_list[0]) == [0, 1, 2, 3, 4, 5, 6, 7] 108 assert rank_list[1] is False [all …]
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/third_party/mindspore/tests/ut/cpp/parallel/ |
D | device_matrix_test.cc | 89 RankList rank_list; in TEST_F() local 92 arr.GetDevicesByTensorMap(tensor_map, &rank_list); in TEST_F() 94 ASSERT_EQ(rank_list, rank_list_except); in TEST_F() 100 RankList rank_list; in TEST_F() local 103 arr.GetDevicesByTensorMap(tensor_map, &rank_list); in TEST_F() 105 ASSERT_EQ(rank_list, rank_list_except); in TEST_F() 111 RankList rank_list; in TEST_F() local 114 arr.GetDevicesByTensorMap(tensor_map, &rank_list); in TEST_F() 116 ASSERT_EQ(rank_list, rank_list_except); in TEST_F()
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/third_party/mindspore/mindspore/parallel/ |
D | _utils.py | 332 rank_list = array[index].flatten() 334 ret[param_name] = (rank_list, False) 346 if len(rank_list) == 1: 347 ret[param_name] = (rank_list, True) 348 elif len(rank_list) == dev_num: 349 ret[param_name] = ([rank_list[local_rank]], True) 351 ret[param_name] = (rank_list, False) 353 ret[param_name] = (rank_list, False)
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/third_party/mindspore/mindspore/ccsrc/frontend/parallel/ |
D | device_matrix.cc | 118 Status DeviceMatrix::GetDevicesByTensorMap(const Shape &tensor_map, RankList *rank_list) { in GetDevicesByTensorMap() argument 157 rank_list->push_back(dev_list_[loop_local_rank]); in GetDevicesByTensorMap()
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D | device_matrix.h | 39 Status GetDevicesByTensorMap(const Shape &tensor_map, RankList *rank_list);
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D | parameter_manager.cc | 386 RankList rank_list = g_device_manager->GetDeviceListInThisStage(); in IsFullySplitParameter() local 387 DeviceMatrix dev_matrix(rank, rank_list, dev_mat_shape); in IsFullySplitParameter()
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/third_party/mindspore/mindspore/nn/layer/ |
D | normalization.py | 100 self.rank_list = self.list_group(self.device_list, self.group_device_num) 101 self.rank_list_idx = len(self.rank_list) 190 if self.rank_id in self.rank_list[i]: 195 management.create_group(SYNC_BN_GROUP_NAME, self.rank_list[i])
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/third_party/mindspore/mindspore/nn/optim/ |
D | optimizer.py | 611 rank_list = () 614 rank_list = rank_list + (count,) 618 return rank_list
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/third_party/mindspore/mindspore/nn/wrap/ |
D | cell_wrapper.py | 660 rank_list = [id for id in range(0, get_group_size())] 661 create_group("BroadcastWorldGroup", rank_list)
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/third_party/mindspore/mindspore/ccsrc/frontend/parallel/pipeline_transformer/ |
D | pipeline_transformer.cc | 179 std::vector<int64_t> rank_list; in CreateForwardGroup() local 184 rank_list.push_back(rank_id + per_stage_rank_num_ * (i - stage_id)); in CreateForwardGroup() 186 auto dev_list = g_device_manager->CreateDeviceListByRankList(rank_list); in CreateForwardGroup() 187 auto g = g_device_manager->CreateGroup(rank_list); in CreateForwardGroup()
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/third_party/mindspore/mindspore/train/ |
D | serialization.py | 1357 rank_list = _infer_rank_list(train_strategy, predict_strategy) 1370 if param.name not in rank_list.keys(): 1377 param_rank = rank_list[param.name][0] 1378 skip_merge_split = rank_list[param.name][1]
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