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- # 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.
- # ==============================================================================
- import numpy as np
- import pytest
-
- import mindspore.dataset as ds
- import mindspore.dataset.audio.transforms as audio
- from mindspore import log as logger
- from mindspore.dataset.audio.utils import Modulation, Interpolation
-
-
- def count_unequal_element(data_expected, data_me, rtol, atol):
- assert data_expected.shape == data_me.shape
- total_count = len(data_expected.flatten())
- error = np.abs(data_expected - data_me)
- greater = np.greater(error, atol + np.abs(data_expected) * rtol)
- loss_count = np.count_nonzero(greater)
- assert (loss_count / total_count) < rtol, "\ndata_expected_std:{0}\ndata_me_error:{1}\nloss:{2}".format(
- data_expected[greater], data_me[greater], error[greater])
-
-
- def test_flanger_eager_sinusoidal_linear_float64():
- """ mindspore eager mode normal testcase:flanger op"""
- # Original waveform
- waveform = np.array([[0.1, 0.2, 0.3], [0.4, 0.5, 0.6]], dtype=np.float64)
- # Expect waveform
- expect_waveform = np.array([[0.10000000000, 0.19999999536, 0.29999998145],
- [0.23391812865, 0.29239766081, 0.35087719298]], dtype=np.float64)
- flanger_op = audio.Flanger(44100, 0.0, 2.0, 0.0, 71.0, 0.5, 25.0, Modulation.SINUSOIDAL, Interpolation.LINEAR)
- # Filtered waveform by flanger
- output = flanger_op(waveform)
- count_unequal_element(expect_waveform, output, 0.0001, 0.0001)
-
-
- def test_flanger_eager_triangular_linear_float32():
- """ mindspore eager mode normal testcase:flanger op"""
- # Original waveform
- waveform = np.array([[-1.2, 2, -3.6], [1, 2.4, 3.7]], dtype=np.float32)
- # Expect waveform
- expect_waveform = np.array([[-1.0000000000, 1.0000000000, -1.0000000000],
- [0.58479529619, 1.0000000000, 1.0000000000]], dtype=np.float32)
- flanger_op = audio.Flanger(44100, 0.0, 2.0, 0.0, 71.0, 0.5, 25.0, Modulation.TRIANGULAR, Interpolation.LINEAR)
- # Filtered waveform by flanger
- output = flanger_op(waveform)
- count_unequal_element(expect_waveform, output, 0.0001, 0.0001)
-
-
- def test_flanger_eager_triangular_linear_int():
- """ mindspore eager mode normal testcase:flanger op"""
- # Original waveform
- waveform = np.array([[-2, -3, 0], [2, 2, 3]], dtype=np.int)
- # Expect waveform
- expect_waveform = np.array([[-1, -1, 0],
- [1, 1, 1]], dtype=np.int)
- flanger_op = audio.Flanger(44100, 0.0, 2.0, 0.0, 71.0, 0.5, 25.0, Modulation.TRIANGULAR, Interpolation.LINEAR)
- # Filtered waveform by flanger
- output = flanger_op(waveform)
- count_unequal_element(expect_waveform, output, 0.0001, 0.0001)
-
-
- def test_flanger_shape_221():
- """ mindspore eager mode normal testcase:flanger op"""
- # Original waveform
- waveform = np.array([[[1], [1.1]], [[0.9], [0.6]]], dtype=np.float64)
- # Expect waveform
- expect_waveform = np.array([[[1.00000000],
- [0.64327485]],
-
- [[0.90000000],
- [0.35087719]]], dtype=np.float64)
-
- flanger_op = audio.Flanger(44100)
- # Filtered waveform by flanger
- output = flanger_op(waveform)
- count_unequal_element(expect_waveform, output, 0.0001, 0.0001)
-
-
- def test_flanger_shape_11211():
- """ mindspore eager mode normal testcase:flanger op"""
- # Original waveform
- waveform = np.array([[[[[0.44]], [[0.55]]]]], dtype=np.float64)
- # Expect waveform
- expect_waveform = np.array([[[[[0.44000000]], [[0.55000000]]]]], dtype=np.float64)
-
- flanger_op = audio.Flanger(44100)
- # Filtered waveform by flanger
- output = flanger_op(waveform)
- count_unequal_element(expect_waveform, output, 0.0001, 0.0001)
-
-
- def test_flanger_pipeline():
- """ mindspore pipeline mode normal testcase:flanger op"""
- # Original waveform
- waveform = np.array([[[1.1, 1.2, 1.3], [1.4, 1.5, 1.6]]], dtype=np.float64)
- # Expect waveform
- expect_waveform = np.array([[[1.00000000000, 1.00000000000, 1.00000000000],
- [0.81871345029, 0.87719298245, 0.93567251461]]], dtype=np.float64)
- data = (waveform, np.random.sample((1, 2, 1)))
- dataset = ds.NumpySlicesDataset(data, ["channel", "sample"], shuffle=False)
- flanger_op = audio.Flanger(44100)
- # Filtered waveform by flanger
- dataset = dataset.map(
- input_columns=["channel"], operations=flanger_op, num_parallel_workers=1)
- i = 0
- for item in dataset.create_dict_iterator(num_epochs=1, output_numpy=True):
- count_unequal_element(expect_waveform[i, :],
- item['channel'], 0.0001, 0.0001)
- i += 1
-
-
- def test_invalid_flanger_input():
- def test_invalid_input(test_name, sample_rate, delay, depth, regen, width, speed, phase, modulation, interpolation,
- error, error_msg):
- logger.info("Test Flanger with bad input: {0}".format(test_name))
- with pytest.raises(error) as error_info:
- audio.Flanger(sample_rate, delay, depth, regen, width, speed, phase, modulation, interpolation)
- assert error_msg in str(error_info.value)
-
- test_invalid_input("invalid sample_rate parameter value", 0, 0.0, 2.0, 0.0, 71.0, 0.5, 25.0,
- Modulation.SINUSOIDAL, Interpolation.LINEAR, ValueError,
- "Input sample_rate is not within the required interval of [-2147483648, 0) and (0, 2147483647].")
- test_invalid_input("invalid sample_rate parameter type as a float", 44100.5, 0.0, 2.0, 0.0, 71.0, 0.5, 25.0,
- Modulation.SINUSOIDAL, Interpolation.LINEAR, TypeError,
- "Argument sample_rate with value 44100.5 is not of "
- "type [<class 'int'>], but got <class 'float'>.")
- test_invalid_input("invalid sample_rate parameter type as a String", "44100", 0.0, 2.0, 0.0, 71.0, 0.5, 25.0,
- Modulation.SINUSOIDAL, Interpolation.LINEAR, TypeError,
- "Argument sample_rate with value 44100 is not of "
- "type [<class 'int'>], but got <class 'str'>.")
-
- test_invalid_input("invalid delay parameter type as a String", 44100, "0.0", 2.0, 0.0, 71.0, 0.5, 25.0,
- Modulation.SINUSOIDAL, Interpolation.LINEAR, TypeError,
- "Argument delay with value 0.0 is not of type [<class 'float'>, <class 'int'>],"
- " but got <class 'str'>.")
- test_invalid_input("invalid delay parameter value", 44100, 50, 2.0, 0.0, 71.0, 0.5, 25.0,
- Modulation.SINUSOIDAL, Interpolation.LINEAR, ValueError,
- "Input delay is not within the required interval of [0, 30].")
-
- test_invalid_input("invalid depth parameter type as a String", 44100, 0.0, "2.0", 0.0, 71.0, 0.5, 25.0,
- Modulation.SINUSOIDAL, Interpolation.LINEAR, TypeError,
- "Argument depth with value 2.0 is not of type [<class 'float'>, <class 'int'>],"
- " but got <class 'str'>.")
- test_invalid_input("invalid depth parameter value", 44100, 0.0, 50.0, 0.0, 71.0, 0.5, 25.0,
- Modulation.SINUSOIDAL, Interpolation.LINEAR, ValueError,
- "Input depth is not within the required interval of [0, 10].")
-
- test_invalid_input("invalid regen parameter type as a String", 44100, 0.0, 2.0, "0.0", 71.0, 0.5, 25.0,
- Modulation.SINUSOIDAL, Interpolation.LINEAR, TypeError,
- "Argument regen with value 0.0 is not of type [<class 'float'>, <class 'int'>],"
- " but got <class 'str'>.")
- test_invalid_input("invalid regen parameter value", 44100, 0.0, 2.0, 100.0, 71.0, 0.5, 25.0,
- Modulation.SINUSOIDAL, Interpolation.LINEAR, ValueError,
- "Input regen is not within the required interval of [-95, 95].")
-
- test_invalid_input("invalid width parameter type as a String", 44100, 0.0, 2.0, 0.0, "71.0", 0.5, 25.0,
- Modulation.SINUSOIDAL, Interpolation.LINEAR, TypeError,
- "Argument width with value 71.0 is not of type [<class 'float'>, <class 'int'>],"
- " but got <class 'str'>.")
- test_invalid_input("invalid width parameter value", 44100, 0.0, 2.0, 0.0, 150.0, 0.5, 25.0,
- Modulation.SINUSOIDAL, Interpolation.LINEAR, ValueError,
- "Input width is not within the required interval of [0, 100].")
-
- test_invalid_input("invalid speed parameter type as a String", 44100, 0.0, 2.0, 0.0, 71.0, "0.5", 25.0,
- Modulation.SINUSOIDAL, Interpolation.LINEAR, TypeError,
- "Argument speed with value 0.5 is not of type [<class 'float'>, <class 'int'>],"
- " but got <class 'str'>.")
- test_invalid_input("invalid speed parameter value", 44100, 0.0, 2.0, 0.0, 71.0, 50, 25.0,
- Modulation.SINUSOIDAL, Interpolation.LINEAR, ValueError,
- "Input speed is not within the required interval of [0.1, 10].")
-
- test_invalid_input("invalid phase parameter type as a String", 44100, 0.0, 2.0, 0.0, 71.0, 0.5, "25.0",
- Modulation.SINUSOIDAL, Interpolation.LINEAR, TypeError,
- "Argument phase with value 25.0 is not of type [<class 'float'>, <class 'int'>],"
- " but got <class 'str'>.")
- test_invalid_input("invalid phase parameter value", 44100, 0.0, 2.0, 0.0, 71.0, 0.5, 150.0,
- Modulation.SINUSOIDAL, Interpolation.LINEAR, ValueError,
- "Input phase is not within the required interval of [0, 100].")
-
- test_invalid_input("invalid modulation parameter value", 44100, 0.0, 2.0, 0.0, 71.0, 0.5, 25.0, "test",
- Interpolation.LINEAR, TypeError,
- "Argument modulation with value test is not of type [<enum 'Modulation'>], "
- "but got <class 'str'>.")
-
- test_invalid_input("invalid modulation parameter value", 44100, 0.0, 2.0, 0.0, 71.0, 0.5, 25.0,
- Modulation.SINUSOIDAL, "test", TypeError,
- "Argument interpolation with value test is not of type [<enum 'Interpolation'>], "
- "but got <class 'str'>.")
-
-
- if __name__ == '__main__':
- test_flanger_eager_sinusoidal_linear_float64()
- test_flanger_eager_triangular_linear_float32()
- test_flanger_eager_triangular_linear_int()
- test_flanger_shape_221()
- test_flanger_shape_11211()
- test_flanger_pipeline()
- test_invalid_flanger_input()
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