101 lines
4.2 KiB
Python
101 lines
4.2 KiB
Python
# Copyright 2021-2022 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 as audio
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from mindspore import log as logger
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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_func_deemph_biquad_eager():
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"""
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Feature: DeemphBiquad op
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Description: Test DeemphBiquad op in eager mode with valid input
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Expectation: Output is equal to the expected output
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"""
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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([[0.04603508, 0.11216372, 0.19070681],
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[0.18414031, 0.31054966, 0.42633607]], dtype=np.float64)
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deemph_biquad_op = audio.DeemphBiquad(44100)
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# Filtered waveform by deemphbiquad
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output = deemph_biquad_op(waveform)
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count_unequal_element(expect_waveform, output, 0.0001, 0.0001)
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def test_func_deemph_biquad_pipeline():
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"""
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Feature: DeemphBiquad op
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Description: Test DeemphBiquad op in pipeline mode with valid input
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Expectation: Output is equal to the expected output
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"""
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# Original waveform
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waveform = np.array([[0.2, 0.2, 0.3], [0.4, 0.5, 0.7]], dtype=np.float64)
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# Expect waveform
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expect_waveform = np.array([[0.0895, 0.1279, 0.1972],
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[0.1791, 0.3006, 0.4583]], dtype=np.float64)
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dataset = ds.NumpySlicesDataset(waveform, ["audio"], shuffle=False)
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deemph_biquad_op = audio.DeemphBiquad(48000)
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# Filtered waveform by deemphbiquad
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dataset = dataset.map(
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input_columns=["audio"], operations=deemph_biquad_op, num_parallel_workers=8)
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i = 0
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for data in dataset.create_dict_iterator(num_epochs=1, output_numpy=True):
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count_unequal_element(
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expect_waveform[i, :], data['audio'], 0.0001, 0.0001)
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i += 1
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def test_invalid_input_all():
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"""
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Feature: DeemphBiquad op
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Description: Test DeemphBiquad op with invalid input
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Expectation: Correct error and message are thrown as expected
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"""
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waveform = np.random.rand(2, 1000)
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def test_invalid_input(test_name, sample_rate, error, error_msg):
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logger.info("Test DeemphBiquad with bad input: {0}".format(test_name))
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with pytest.raises(error) as error_info:
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audio.DeemphBiquad(sample_rate)(waveform)
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assert error_msg in str(error_info.value)
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test_invalid_input("invalid sample_rate parameter type as a float", 44100.5, TypeError,
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"Argument sample_rate with value 44100.5 is not of type [<class 'int'>],"
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+ " but got <class 'float'>.")
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test_invalid_input("invalid sample_rate parameter type as a String", "44100", TypeError,
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"Argument sample_rate with value 44100 is not of type [<class 'int'>],"
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+ " but got <class 'str'>.")
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test_invalid_input("invalid sample_rate parameter value", 45000, ValueError,
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"Argument sample_rate should be 44100 or 48000, but got 45000.")
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if __name__ == '__main__':
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test_func_deemph_biquad_eager()
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test_func_deemph_biquad_pipeline()
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test_invalid_input_all()
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