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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.
- # ==============================================================================
- """
- Testing EqualizerBiquad op in DE
- """
- import numpy as np
- import pytest
-
- import mindspore.dataset as ds
- import mindspore.dataset.audio.transforms as audio
- from mindspore import log as logger
-
-
- 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_equalizer_biquad_eager():
- """ mindspore eager mode normal testcase:highpass_biquad op"""
- # Original waveform
- waveform = np.array([[0.8236, 0.2049, 0.3335], [0.5933, 0.9911, 0.2482],
- [0.3007, 0.9054, 0.7598], [0.5394, 0.2842, 0.5634], [0.6363, 0.2226, 0.2288]])
- # Expect waveform
- expect_waveform = np.array([[1.0000, 0.2532, 0.1273], [0.7333, 1.0000, 0.1015],
- [0.3717, 1.0000, 0.8351], [0.6667, 0.3513, 0.5098], [0.7864, 0.2751, 0.0627]])
- equalizer_biquad_op = audio.EqualizerBiquad(4000, 1000.0, 5.5, 1)
- # Filtered waveform by highpass_biquad
- output = equalizer_biquad_op(waveform)
- count_unequal_element(expect_waveform, output, 0.0001, 0.0001)
-
-
- def test_equalizer_biquad_pipeline():
- """ mindspore pipeline mode normal testcase:highpass_biquad op"""
- # Original waveform
- waveform = np.array([[0.4063, 0.7729, 0.2325], [0.2687, 0.1426, 0.8987],
- [0.6914, 0.6681, 0.1783], [0.2704, 0.2680, 0.7975], [0.5880, 0.1776, 0.6323]])
- # Expect waveform
- expect_waveform = np.array([[0.5022, 0.9553, 0.1468], [0.3321, 0.1762, 1.0000],
- [0.8545, 0.8257, -0.0188], [0.3342, 0.3312, 0.8921], [0.7267, 0.2195, 0.5781]])
- dataset = ds.NumpySlicesDataset(waveform, ["col1"], shuffle=False)
- equalizer_biquad_op = audio.EqualizerBiquad(4000, 1000.0, 5.5, 1)
- # Filtered waveform by equalizer_biquad
- dataset = dataset.map(input_columns=["col1"], operations=equalizer_biquad_op, num_parallel_workers=4)
- i = 0
- for item in dataset.create_dict_iterator(num_epochs=1, output_numpy=True):
- count_unequal_element(expect_waveform[i, :],
- item["col1"], 0.0001, 0.0001)
- i += 1
-
-
- def test_equalizer_biquad_invalid_input():
- """
- Test invalid input of HighpassBiquad
- """
- def test_invalid_input(test_name, sample_rate, center_freq, gain, Q, error, error_msg):
- logger.info("Test EqualizerBiquad with bad input: {0}".format(test_name))
- with pytest.raises(error) as error_info:
- audio.EqualizerBiquad(sample_rate, center_freq, gain, Q)
- assert error_msg in str(error_info.value)
-
- test_invalid_input("invalid sample_rate parameter type as a float", 44100.5, 1000, 5.5, 0.707, 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", 1000, 5.5, 0.707, TypeError,
- "Argument sample_rate with value 44100 is not of type [<class 'int'>],"
- " but got <class 'str'>.")
- test_invalid_input("invalid central_freq parameter type as a String", 44100, "1000", 5.5, 0.707, TypeError,
- "Argument central_freq with value 1000 is not of type [<class 'float'>, <class 'int'>],"
- " but got <class 'str'>.")
- test_invalid_input("invalid gain parameter type as a String", 44100, 1000, "5.5", 0.707, TypeError,
- "Argument gain with value 5.5 is not of type [<class 'float'>, <class 'int'>],"
- " but got <class 'str'>.")
- test_invalid_input("invalid Q parameter type as a String", 44100, 1000, 5.5, "0.707", TypeError,
- "Argument Q with value 0.707 is not of type [<class 'float'>, <class 'int'>],"
- " but got <class 'str'>.")
-
- test_invalid_input("invalid sample_rate parameter value", 441324343243242342345300, 1000, 5.5, 0.707, ValueError,
- "Input sample_rate is not within the required interval of [-2147483648, 0) and (0, 2147483647].")
- test_invalid_input("invalid central_freq parameter value", 44100, 3243432434, 5.5, 0.707, ValueError,
- "Input central_freq is not within the required interval of [-16777216, 16777216].")
- test_invalid_input("invalid sample_rate parameter value", 0, 1000, 5.5, 0.707, ValueError,
- "Input sample_rate is not within the required interval of [-2147483648, 0) and (0, 2147483647].")
- test_invalid_input("invalid Q parameter value", 44100, 1000, 5.5, 0, ValueError,
- "Input Q is not within the required interval of (0, 1].")
-
- test_invalid_input("invalid sample_rate parameter value", None, 1000, 5.5, 0.707, TypeError,
- "Argument sample_rate with value None is not of type [<class 'int'>], "
- "but got <class 'NoneType'>.")
- test_invalid_input("invalid central_freq parameter value", 44100, None, 5.5, 0.707, TypeError,
- "Argument central_freq with value None is not of type [<class 'float'>, <class 'int'>],"
- " but got <class 'NoneType'>.")
- test_invalid_input("invalid gain parameter value", 44100, 200, None, 0.707, TypeError,
- "Argument gain with value None is not of type [<class 'float'>, <class 'int'>], "
- "but got <class 'NoneType'>.")
-
-
- if __name__ == "__main__":
- test_equalizer_biquad_eager()
- test_equalizer_biquad_pipeline()
- test_equalizer_biquad_invalid_input()
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