|
- # Copyright 2021 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.
- # ==============================================================================
- """
- Testing Magphase Python API
- """
- import numpy as np
-
- import mindspore.dataset as ds
- import mindspore.dataset.audio.transforms as audio
- from mindspore import log as logger
-
-
- def test_magphase_pipeline():
- """
- Test magphase (pipeline).
- """
- logger.info("Test Magphase pipeline.")
-
- data1 = [[[3.0, -4.0], [-5.0, 12.0]]]
- expected = [5, 13, -0.927295, 1.965587]
- dataset = ds.NumpySlicesDataset(data1, column_names=["col1"], shuffle=False)
- magphase_window = audio.Magphase(power=1.0)
- dataset = dataset.map(operations=magphase_window, input_columns=["col1"],
- output_columns=["mag", "phase"], column_order=["mag", "phase"])
- for data1, data2 in dataset.create_tuple_iterator(num_epochs=1, output_numpy=True):
- assert abs(data1[0] - expected[0]) < 0.00001
- assert abs(data1[1] - expected[1]) < 0.00001
- assert abs(data2[0] - expected[2]) < 0.00001
- assert abs(data2[1] - expected[3]) < 0.00001
-
- logger.info("Finish testing Magphase.")
-
-
- def test_magphase_eager():
- """
- Test magphase (eager).
- """
- logger.info("Test Magphase eager.")
-
- input_number = np.array([41, 67, 34, 0, 69, 24, 78, 58]).reshape((2, 2, 2)).astype("double")
- mag = np.array([78.54934755, 34., 73.05477397, 97.20082304]).reshape((2, 2)).astype("double")
- phase = np.array([1.02164342, 0, 0.33473684, 0.63938591]).reshape((2, 2)).astype("double")
- magphase_window = audio.Magphase()
- data1, data2 = magphase_window(input_number)
- assert (abs(data1 - mag) < 0.00001).all()
- assert (abs(data2 - phase) < 0.00001).all()
-
- logger.info("Finish testing Magphase.")
-
-
- def test_magphase_exception():
- """
- Test magphase not callable.
- """
- logger.info("Test Magphase not callable.")
-
- try:
- input_number = np.array([1, 2, 3, 4]).reshape(4,).astype("double")
- magphase_window = audio.Magphase(power=2.0)
- _ = magphase_window(input_number)
- except RuntimeError as error:
- logger.info("Got an exception in Magphase: {}".format(str(error)))
- assert "the shape of input tensor does not match the requirement of operator" in str(error)
- try:
- input_number = np.array([1, 2, 3, 4]).reshape(1, 4).astype("double")
- magphase_window = audio.Magphase(power=2.0)
- _ = magphase_window(input_number)
- except RuntimeError as error:
- logger.info("Got an exception in Magphase: {}".format(str(error)))
- assert "the shape of input tensor does not match the requirement of operator" in str(error)
- try:
- input_number = np.array(['test', 'test']).reshape(1, 2)
- magphase_window = audio.Magphase(power=2.0)
- _ = magphase_window(input_number)
- except RuntimeError as error:
- logger.info("Got an exception in Magphase: {}".format(str(error)))
- assert "the data type of input tensor does not match the requirement of operator" in str(error)
- try:
- input_number = np.array([1, 2, 3, 4]).reshape(2, 2).astype("double")
- magphase_window = audio.Magphase(power=-1.0)
- _ = magphase_window(input_number)
- except ValueError as error:
- logger.info("Got an exception in Magphase: {}".format(str(error)))
- assert "Input power is not within the required interval of [0, 16777216]." in str(error)
-
- logger.info("Finish testing Magphase.")
-
-
- if __name__ == "__main__":
- test_magphase_pipeline()
- test_magphase_eager()
- test_magphase_exception()
|