|
- # Copyright 2020 Huawei Technologies Co., Ltd
- #
- # Licensed under the Apache License, Version 2.0 (the "License");
- # you may not use this file except in compliance with the License.
- # You may obtain a copy of the License at
- #
- # http://www.apache.org/licenses/LICENSE-2.0
- #
- # Unless required by applicable law or agreed to in writing, software
- # distributed under the License is distributed on an "AS IS" BASIS,
- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- # See the License for the specific language governing permissions and
- # limitations under the License.
- # ==============================================================================
-
- import mindspore.dataset as ds
- import mindspore.dataset.transforms.c_transforms as ops
- import mindspore.dataset.transforms.vision.c_transforms as visions
-
-
- def test_random_select_subpolicy():
- ds.config.set_seed(0)
-
- def test_config(arr, policy):
- try:
- data = ds.NumpySlicesDataset(arr, column_names="col", shuffle=False)
- data = data.map(input_columns=["col"], operations=visions.RandomSelectSubpolicy(policy))
- res = []
- for i in data.create_dict_iterator():
- res.append(i["col"].tolist())
- return res
- except (TypeError, ValueError) as e:
- return str(e)
-
- # 3 possible outcomes
- policy1 = [[(ops.PadEnd([4], 0), 0.5), (ops.Compose([ops.Duplicate(), ops.Concatenate()]), 1)],
- [(ops.Slice([0, 1]), 0.5), (ops.Duplicate(), 1), (ops.Concatenate(), 1)]]
- res1 = test_config([[1, 2, 3]], policy1)
- assert res1 in [[[1, 2, 1, 2]], [[1, 2, 3, 1, 2, 3]], [[1, 2, 3, 0, 1, 2, 3, 0]]]
-
- # test exceptions
- assert "policy can not be empty." in test_config([[1, 2, 3]], [])
- assert "policy[0] can not be empty." in test_config([[1, 2, 3]], [[]])
- assert "op of (op, prob) in policy[1][0] is not a c_transform op (TensorOp) nor a callable pyfunc" in test_config(
- [[1, 2, 3]], [[(ops.PadEnd([4], 0), 0.5)], [(1, 0.4)]])
- assert "prob of (op, prob) policy[1][0] is not within the required interval of (0 to 1)" in test_config([[1]], [
- [(ops.Duplicate(), 0)], [(ops.Duplicate(), -0.1)]])
-
-
- if __name__ == "__main__":
- test_random_select_subpolicy()
|