Searched refs:NumpySlicesDataset (Results 1 – 25 of 42) sorted by relevance
12
/third_party/mindspore/tests/ut/python/dataset/ |
D | test_dataset_numpy_slices.py | 28 ds = de.NumpySlicesDataset(np_data, shuffle=False) 38 ds = de.NumpySlicesDataset(np_data, column_names=["col1"], shuffle=False) 48 ds = de.NumpySlicesDataset(np_data, column_names=["col1"], shuffle=False) 58 ds = de.NumpySlicesDataset(np_data, column_names=["col1"], shuffle=False) 78 ds = de.NumpySlicesDataset(res, column_names=["col1"], shuffle=False) 88 ds = de.NumpySlicesDataset(np_data, shuffle=False) 100 ds = de.NumpySlicesDataset(np_data, shuffle=False) 113 ds = de.NumpySlicesDataset(np_data, shuffle=False) 126 ds = de.NumpySlicesDataset(data, column_names=["col1", "col2"], shuffle=False) 142 ds = de.NumpySlicesDataset(np_data, column_names=["col1", "col2"], shuffle=False) [all …]
|
D | test_callbacks.py | 106 data = ds.NumpySlicesDataset(arr, shuffle=False) 134 data = ds.NumpySlicesDataset(arr, shuffle=False) 154 data = ds.NumpySlicesDataset(arr, shuffle=False) 261 data = ds.NumpySlicesDataset((arr, arr), column_names=["c1", "c2"], shuffle=False) 285 data = ds.NumpySlicesDataset((arr, arr), column_names=["c1", "c2"], shuffle=False) 311 data = ds.NumpySlicesDataset((arr, arr), column_names=["c1", "c2"], shuffle=False) 327 data = ds.NumpySlicesDataset([1, 2, 3, 4], shuffle=False) 333 data = ds.NumpySlicesDataset([1, 2, 3, 4], shuffle=False) 343 data = ds.NumpySlicesDataset([1, 2, 3, 4], shuffle=False) 356 data = ds.NumpySlicesDataset([1, 2, 3, 4], shuffle=False) [all …]
|
D | test_fade.py | 36 dataset = ds.NumpySlicesDataset(data=waveform, column_names='audio', shuffle=False) 61 dataset = ds.NumpySlicesDataset(data=waveform, column_names='audio', shuffle=False) 81 dataset = ds.NumpySlicesDataset(data=waveform, column_names='audio', shuffle=False) 103 dataset = ds.NumpySlicesDataset(data=waveform, column_names='audio', shuffle=False) 126 dataset = ds.NumpySlicesDataset(data=waveform, column_names='audio', shuffle=False)
|
D | test_sliding_window.py | 52 dataset = ds.NumpySlicesDataset(inputs, column_names=["text"], shuffle=False) 83 dataset = ds.NumpySlicesDataset(inputs, column_names=["number"], shuffle=False) 111 dataset = ds.NumpySlicesDataset(inputs, column_names=["text"], shuffle=False) 121 dataset = ds.NumpySlicesDataset(inputs, column_names=["text"], shuffle=False)
|
D | test_input_indexes.py | 27 data = ds.NumpySlicesDataset([1, 2, 3], column_names=["col_1"]) 36 data2 = ds.NumpySlicesDataset([1, 2, 3], column_names=["col_1"])
|
D | test_vol.py | 105 data1 = ds.NumpySlicesDataset(data, column_names=["multi_dimensional_data"]) 120 data1 = ds.NumpySlicesDataset(data, column_names=["multi_dimensional_data"]) 134 data1 = ds.NumpySlicesDataset(data, column_names=["multi_dimensional_data"])
|
D | test_sampler_chain.py | 45 data1 = ds.NumpySlicesDataset(np_data, sampler=sampler) 74 data1 = ds.NumpySlicesDataset(np_data, sampler=sampler) 104 data1 = ds.NumpySlicesDataset(np_data, sampler=sampler) 292 data1 = ds.NumpySlicesDataset(np_data, sampler=sampler) 342 ds.NumpySlicesDataset(np_data, shuffle=False, sampler=sampler)
|
D | test_dc_shift.py | 50 dataset = ds.NumpySlicesDataset(arr, column_names=["col1"], shuffle=False) 64 dataset = ds.NumpySlicesDataset(data, column_names=["col1", "col2"], shuffle=False)
|
D | test_angle.py | 57 dataset = ds.NumpySlicesDataset(data, column_names=["col1", "col2"], shuffle=False) 72 dataset = ds.NumpySlicesDataset(data, column_names=["col1", 'col2'], shuffle=False)
|
D | test_compose.py | 39 data = ds.NumpySlicesDataset(arr, column_names="col", shuffle=False) 113 data = ds.NumpySlicesDataset(arr, column_names=input_columns, shuffle=False) 140 data = ds.NumpySlicesDataset(arr, column_names=input_columns, shuffle=False) 321 data = ds.NumpySlicesDataset([[1, 2]], column_names=["col0"], shuffle=False)
|
D | test_get_col_names.py | 119 data = ds.NumpySlicesDataset(np_data, shuffle=False) 121 data = ds.NumpySlicesDataset([1, 2, 3], shuffle=False)
|
D | test_duplicate_op.py | 25 data = ds.NumpySlicesDataset([array], column_names="x")
|
D | test_concatenate_op.py | 73 data = ds.NumpySlicesDataset(data, column_names=["col1", "col2"]) 88 data = ds.NumpySlicesDataset(data, column_names=["col1", "col2"])
|
D | test_c_random_choice.py | 29 data = ds.NumpySlicesDataset(arr, column_names="col", shuffle=False)
|
D | test_unique_op.py | 25 data = ds.NumpySlicesDataset([array], column_names="x")
|
D | test_random_select_subpolicy.py | 26 data = ds.NumpySlicesDataset(arr, column_names="col", shuffle=False)
|
D | test_c_compose.py | 27 data = ds.NumpySlicesDataset(arr, column_names="col", shuffle=False)
|
D | test_c_random_apply.py | 26 data = ds.NumpySlicesDataset(arr, column_names="col", shuffle=False)
|
D | test_pad_end_op.py | 28 data = ds.NumpySlicesDataset([array])
|
D | test_slice_patches.py | 159 dataset = ds.NumpySlicesDataset(np_data, column_names=["image"]) 183 dataset = ds.NumpySlicesDataset(np_data, column_names=["image"])
|
D | test_contrast.py | 58 dataset = ds.NumpySlicesDataset(waveform, ["audio"], shuffle=False)
|
D | test_highpass_biquad.py | 60 dataset = ds.NumpySlicesDataset(waveform, ["col1"], shuffle=False)
|
D | test_equalizer_biquad.py | 58 dataset = ds.NumpySlicesDataset(waveform, ["col1"], shuffle=False)
|
D | test_lowpass_biquad.py | 59 dataset = ds.NumpySlicesDataset(waveform, ["col1"], shuffle=False)
|
/third_party/mindspore/tests/st/auto_monad/ |
D | test_auto_monad_layer.py | 19 from mindspore.dataset import NumpySlicesDataset 65 dataloader = NumpySlicesDataset(data=(transformed_dataset,), shuffle=True)
|
12