forked from huawei/mindspore2022
210 lines
11 KiB
Python
210 lines
11 KiB
Python
# Copyright 2021 Huawei Technologies Co., Ltd
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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import numpy as np
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import pytest
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import mindspore.dataset as ds
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import mindspore.dataset.audio.transforms as audio
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from mindspore import log as logger
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from mindspore.dataset.audio.utils import Modulation, Interpolation
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def count_unequal_element(data_expected, data_me, rtol, atol):
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assert data_expected.shape == data_me.shape
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total_count = len(data_expected.flatten())
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error = np.abs(data_expected - data_me)
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greater = np.greater(error, atol + np.abs(data_expected) * rtol)
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loss_count = np.count_nonzero(greater)
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assert (loss_count / total_count) < rtol, "\ndata_expected_std:{0}\ndata_me_error:{1}\nloss:{2}".format(
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data_expected[greater], data_me[greater], error[greater])
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def test_flanger_eager_sinusoidal_linear_float64():
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""" mindspore eager mode normal testcase:flanger op"""
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# Original waveform
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waveform = np.array([[0.1, 0.2, 0.3], [0.4, 0.5, 0.6]], dtype=np.float64)
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# Expect waveform
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expect_waveform = np.array([[0.10000000000, 0.19999999536, 0.29999998145],
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[0.23391812865, 0.29239766081, 0.35087719298]], dtype=np.float64)
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flanger_op = audio.Flanger(44100, 0.0, 2.0, 0.0, 71.0, 0.5, 25.0, Modulation.SINUSOIDAL, Interpolation.LINEAR)
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# Filtered waveform by flanger
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output = flanger_op(waveform)
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count_unequal_element(expect_waveform, output, 0.0001, 0.0001)
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def test_flanger_eager_triangular_linear_float32():
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""" mindspore eager mode normal testcase:flanger op"""
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# Original waveform
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waveform = np.array([[-1.2, 2, -3.6], [1, 2.4, 3.7]], dtype=np.float32)
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# Expect waveform
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expect_waveform = np.array([[-1.0000000000, 1.0000000000, -1.0000000000],
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[0.58479529619, 1.0000000000, 1.0000000000]], dtype=np.float32)
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flanger_op = audio.Flanger(44100, 0.0, 2.0, 0.0, 71.0, 0.5, 25.0, Modulation.TRIANGULAR, Interpolation.LINEAR)
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# Filtered waveform by flanger
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output = flanger_op(waveform)
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count_unequal_element(expect_waveform, output, 0.0001, 0.0001)
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def test_flanger_eager_triangular_linear_int():
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""" mindspore eager mode normal testcase:flanger op"""
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# Original waveform
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waveform = np.array([[-2, -3, 0], [2, 2, 3]], dtype=np.int)
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# Expect waveform
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expect_waveform = np.array([[-1, -1, 0],
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[1, 1, 1]], dtype=np.int)
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flanger_op = audio.Flanger(44100, 0.0, 2.0, 0.0, 71.0, 0.5, 25.0, Modulation.TRIANGULAR, Interpolation.LINEAR)
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# Filtered waveform by flanger
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output = flanger_op(waveform)
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count_unequal_element(expect_waveform, output, 0.0001, 0.0001)
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def test_flanger_shape_221():
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""" mindspore eager mode normal testcase:flanger op"""
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# Original waveform
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waveform = np.array([[[1], [1.1]], [[0.9], [0.6]]], dtype=np.float64)
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# Expect waveform
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expect_waveform = np.array([[[1.00000000],
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[0.64327485]],
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[[0.90000000],
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[0.35087719]]], dtype=np.float64)
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flanger_op = audio.Flanger(44100)
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# Filtered waveform by flanger
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output = flanger_op(waveform)
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count_unequal_element(expect_waveform, output, 0.0001, 0.0001)
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def test_flanger_shape_11211():
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""" mindspore eager mode normal testcase:flanger op"""
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# Original waveform
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waveform = np.array([[[[[0.44]], [[0.55]]]]], dtype=np.float64)
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# Expect waveform
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expect_waveform = np.array([[[[[0.44000000]], [[0.55000000]]]]], dtype=np.float64)
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flanger_op = audio.Flanger(44100)
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# Filtered waveform by flanger
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output = flanger_op(waveform)
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count_unequal_element(expect_waveform, output, 0.0001, 0.0001)
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def test_flanger_pipeline():
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""" mindspore pipeline mode normal testcase:flanger op"""
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# Original waveform
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waveform = np.array([[[1.1, 1.2, 1.3], [1.4, 1.5, 1.6]]], dtype=np.float64)
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# Expect waveform
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expect_waveform = np.array([[[1.00000000000, 1.00000000000, 1.00000000000],
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[0.81871345029, 0.87719298245, 0.93567251461]]], dtype=np.float64)
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data = (waveform, np.random.sample((1, 2, 1)))
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dataset = ds.NumpySlicesDataset(data, ["channel", "sample"], shuffle=False)
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flanger_op = audio.Flanger(44100)
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# Filtered waveform by flanger
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dataset = dataset.map(
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input_columns=["channel"], operations=flanger_op, num_parallel_workers=1)
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i = 0
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for item in dataset.create_dict_iterator(num_epochs=1, output_numpy=True):
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count_unequal_element(expect_waveform[i, :],
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item['channel'], 0.0001, 0.0001)
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i += 1
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def test_invalid_flanger_input():
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def test_invalid_input(test_name, sample_rate, delay, depth, regen, width, speed, phase, modulation, interpolation,
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error, error_msg):
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logger.info("Test Flanger with bad input: {0}".format(test_name))
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with pytest.raises(error) as error_info:
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audio.Flanger(sample_rate, delay, depth, regen, width, speed, phase, modulation, interpolation)
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assert error_msg in str(error_info.value)
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test_invalid_input("invalid sample_rate parameter value", 0, 0.0, 2.0, 0.0, 71.0, 0.5, 25.0,
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Modulation.SINUSOIDAL, Interpolation.LINEAR, ValueError,
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"Input sample_rate is not within the required interval of [-2147483648, 0) and (0, 2147483647].")
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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,
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Modulation.SINUSOIDAL, Interpolation.LINEAR, TypeError,
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"Argument sample_rate with value 44100.5 is not of "
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"type [<class 'int'>], but got <class 'float'>.")
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test_invalid_input("invalid sample_rate parameter type as a String", "44100", 0.0, 2.0, 0.0, 71.0, 0.5, 25.0,
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Modulation.SINUSOIDAL, Interpolation.LINEAR, TypeError,
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"Argument sample_rate with value 44100 is not of "
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"type [<class 'int'>], but got <class 'str'>.")
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test_invalid_input("invalid delay parameter type as a String", 44100, "0.0", 2.0, 0.0, 71.0, 0.5, 25.0,
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Modulation.SINUSOIDAL, Interpolation.LINEAR, TypeError,
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"Argument delay with value 0.0 is not of type [<class 'float'>, <class 'int'>],"
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" but got <class 'str'>.")
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test_invalid_input("invalid delay parameter value", 44100, 50, 2.0, 0.0, 71.0, 0.5, 25.0,
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Modulation.SINUSOIDAL, Interpolation.LINEAR, ValueError,
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"Input delay is not within the required interval of [0, 30].")
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test_invalid_input("invalid depth parameter type as a String", 44100, 0.0, "2.0", 0.0, 71.0, 0.5, 25.0,
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Modulation.SINUSOIDAL, Interpolation.LINEAR, TypeError,
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"Argument depth with value 2.0 is not of type [<class 'float'>, <class 'int'>],"
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" but got <class 'str'>.")
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test_invalid_input("invalid depth parameter value", 44100, 0.0, 50.0, 0.0, 71.0, 0.5, 25.0,
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Modulation.SINUSOIDAL, Interpolation.LINEAR, ValueError,
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"Input depth is not within the required interval of [0, 10].")
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test_invalid_input("invalid regen parameter type as a String", 44100, 0.0, 2.0, "0.0", 71.0, 0.5, 25.0,
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Modulation.SINUSOIDAL, Interpolation.LINEAR, TypeError,
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"Argument regen with value 0.0 is not of type [<class 'float'>, <class 'int'>],"
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" but got <class 'str'>.")
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test_invalid_input("invalid regen parameter value", 44100, 0.0, 2.0, 100.0, 71.0, 0.5, 25.0,
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Modulation.SINUSOIDAL, Interpolation.LINEAR, ValueError,
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"Input regen is not within the required interval of [-95, 95].")
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test_invalid_input("invalid width parameter type as a String", 44100, 0.0, 2.0, 0.0, "71.0", 0.5, 25.0,
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Modulation.SINUSOIDAL, Interpolation.LINEAR, TypeError,
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"Argument width with value 71.0 is not of type [<class 'float'>, <class 'int'>],"
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" but got <class 'str'>.")
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test_invalid_input("invalid width parameter value", 44100, 0.0, 2.0, 0.0, 150.0, 0.5, 25.0,
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Modulation.SINUSOIDAL, Interpolation.LINEAR, ValueError,
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"Input width is not within the required interval of [0, 100].")
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test_invalid_input("invalid speed parameter type as a String", 44100, 0.0, 2.0, 0.0, 71.0, "0.5", 25.0,
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Modulation.SINUSOIDAL, Interpolation.LINEAR, TypeError,
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"Argument speed with value 0.5 is not of type [<class 'float'>, <class 'int'>],"
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" but got <class 'str'>.")
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test_invalid_input("invalid speed parameter value", 44100, 0.0, 2.0, 0.0, 71.0, 50, 25.0,
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Modulation.SINUSOIDAL, Interpolation.LINEAR, ValueError,
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"Input speed is not within the required interval of [0.1, 10].")
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test_invalid_input("invalid phase parameter type as a String", 44100, 0.0, 2.0, 0.0, 71.0, 0.5, "25.0",
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Modulation.SINUSOIDAL, Interpolation.LINEAR, TypeError,
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"Argument phase with value 25.0 is not of type [<class 'float'>, <class 'int'>],"
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" but got <class 'str'>.")
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test_invalid_input("invalid phase parameter value", 44100, 0.0, 2.0, 0.0, 71.0, 0.5, 150.0,
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Modulation.SINUSOIDAL, Interpolation.LINEAR, ValueError,
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"Input phase is not within the required interval of [0, 100].")
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test_invalid_input("invalid modulation parameter value", 44100, 0.0, 2.0, 0.0, 71.0, 0.5, 25.0, "test",
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Interpolation.LINEAR, TypeError,
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"Argument modulation with value test is not of type [<enum 'Modulation'>], "
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"but got <class 'str'>.")
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test_invalid_input("invalid modulation parameter value", 44100, 0.0, 2.0, 0.0, 71.0, 0.5, 25.0,
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Modulation.SINUSOIDAL, "test", TypeError,
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"Argument interpolation with value test is not of type [<enum 'Interpolation'>], "
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"but got <class 'str'>.")
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if __name__ == '__main__':
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test_flanger_eager_sinusoidal_linear_float64()
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test_flanger_eager_triangular_linear_float32()
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test_flanger_eager_triangular_linear_int()
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test_flanger_shape_221()
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test_flanger_shape_11211()
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test_flanger_pipeline()
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test_invalid_flanger_input()
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