| /third_party/mindspore/tests/ut/python/communication/ |
| D | test_data_parallel_resnet.py | 246 np_types=None, output_shapes=None, input_indexs=()): argument
248 np_types=np_types, output_shapes=output_shapes,
283 np_types=dataset_types,
305 np_types=dataset_types,
|
| /third_party/mindspore/tests/ |
| D | dataset_mock.py | 25 np_types=None, output_shapes=None, input_indexs=()): argument
29 self._np_types = np_types
|
| /third_party/mindspore/tests/ut/python/train/ |
| D | test_training.py | 86 np_types=dataset_types,
140 np_types=dataset_types,
170 np_types=dataset_types,
259 np_types=dataset_types,
|
| D | test_dataset_helper.py | 30 dataset = MindData(size=2, batch_size=batch_size, np_types=dataset_types,
|
| D | test_amp.py | 99 np_types=dataset_types,
|
| /third_party/mindspore/tests/st/ops/ascend/ |
| D | test_tdt_data_ms.py | 77 np_types = data_set.output_types() variable
78 dataset_types = convert_type(dataset_shapes, np_types)
|
| /third_party/mindspore/tests/ut/python/dataset/ |
| D | test_datasets_generator.py | 207 …np_types = [np.int8, np.int16, np.int32, np.int64, np.uint8, np.uint16, np.uint32, np.uint64, np.f…
212 for i, _ in enumerate(np_types):
213 type_tester_with_type_check(np_types[i], de_types[i])
242 …np_types = [np.int8, np.int16, np.int32, np.int64, np.uint8, np.uint16, np.uint32, np.uint64, np.f…
247 for i, _ in enumerate(np_types):
248 type_tester_with_type_check_2c(np_types[i], [None, de_types[i]])
762 …np_types = [np.int8, np.int16, np.int32, np.int64, np.uint8, np.uint16, np.uint32, np.uint64, np.f…
767 for i, _ in enumerate(np_types):
768 type_tester_with_type_check_2c_schema(np_types[i], [de_types[i], de_types[i]])
|
| /third_party/mindspore/tests/st/data_transfer/ |
| D | test_tdt_data_transfer.py | 89 np_types = dataset.output_types()
90 dataset_types = convert_type(dataset_shapes, np_types)
|
| /third_party/mindspore/tests/st/pynative/loss_scale/ |
| D | test_loss_scale.py | 38 np_types=None, output_shapes=None, input_indexes=(), func_name=''): argument
42 self._np_types = np_types
103 np_types=dataset_types,
|
| /third_party/mindspore/tests/ut/python/pipeline/infer/ |
| D | infer.py | 56 np_types=dataset_types,
|
| /third_party/mindspore/tests/ut/python/parallel/ |
| D | test_auto_parallel_flag.py | 34 np_types=dataset_types,
|
| /third_party/mindspore/tests/ut/python/train/summary/ |
| D | test_image_summary.py | 138 np_types=dataset_types,
|
| /third_party/mindspore/tests/mindspore_test_framework/apps/ |
| D | test_bert_parts.py | 75 np_types=dataset_types,
|
| /third_party/mindspore/tests/perf_test/bert/ |
| D | test_bert_train.py | 44 np_types=dataset_types,
|
| /third_party/mindspore/tests/ut/python/optimizer/ |
| D | test_optimizer_with_loss_scale.py | 37 np_types=dataset_types,
|
| /third_party/mindspore/mindspore/common/ |
| D | tensor.py | 28 np_types = (np.int8, np.int16, np.int32, np.int64, variable
82 if isinstance(input_data, np_types):
|
| /third_party/mindspore/tests/ut/python/ir/ |
| D | test_row_tensor.py | 80 np_types=dataset_types,
|