forked from huawei/mindspore2022
117 lines
5.9 KiB
Python
Executable File
117 lines
5.9 KiB
Python
Executable File
# 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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"""
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Testing HighpassBiquad op in DE
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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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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, \
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"\ndata_expected_std:{0}\ndata_me_error:{1}\nloss:{2}". \
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format(data_expected[greater], data_me[greater], error[greater])
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def test_highpass_biquad_eager():
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""" mindspore eager mode normal testcase:highpass_biquad op"""
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# Original waveform
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waveform = np.array([[0.8236, 0.2049, 0.3335], [0.5933, 0.9911, 0.2482],
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[0.3007, 0.9054, 0.7598], [0.5394, 0.2842, 0.5634], [0.6363, 0.2226, 0.2288]])
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# Expect waveform
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expect_waveform = np.array([[0.2745, -0.4808, 0.1576], [0.1978, -0.0652, -0.4462],
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[0.1002, 0.1013, -0.2835], [0.1798, -0.2649, 0.1182], [0.2121, -0.3500, 0.0693]])
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highpass_biquad_op = audio.HighpassBiquad(4000, 1000.0, 1)
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# Filtered waveform by highpass_biquad
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output = highpass_biquad_op(waveform)
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count_unequal_element(expect_waveform, output, 0.0001, 0.0001)
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def test_highpass_biquad_pipeline():
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""" mindspore pipeline mode normal testcase:highpass_biquad op"""
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# Original waveform
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waveform = np.array([[0.4063, 0.7729, 0.2325], [0.2687, 0.1426, 0.8987],
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[0.6914, 0.6681, 0.1783], [0.2704, 0.2680, 0.7975], [0.5880, 0.1776, 0.6323]])
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# Expect waveform
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expect_waveform = np.array([[0.1354, -0.0133, -0.3474], [0.0896, -0.1316, 0.2642],
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[0.2305, -0.2382, -0.2323], [0.0901, -0.0909, 0.1473], [0.1960, -0.3328, 0.2230]])
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dataset = ds.NumpySlicesDataset(waveform, ["col1"], shuffle=False)
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highpass_biquad_op = audio.HighpassBiquad(4000, 1000.0, 1)
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# Filtered waveform by highpass_biquad
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dataset = dataset.map(
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input_columns=["col1"], operations=highpass_biquad_op, num_parallel_workers=4)
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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["col1"], 0.0001, 0.0001)
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i += 1
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def test_highpass_biquad_invalid_input():
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"""
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Test invalid input of HighpassBiquad
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"""
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def test_invalid_input(test_name, sample_rate, cutoff_freq, Q, error, error_msg):
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logger.info("Test HighpassBiquad with bad input: {0}".format(test_name))
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with pytest.raises(error) as error_info:
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audio.HighpassBiquad(sample_rate, cutoff_freq, Q)
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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, 1000, 0.707, 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", 1000, 0.707, 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 cutoff_freq parameter type as a String", 44100, "1000", 0.707, TypeError,
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"Argument cutoff_freq with value 1000 is not of type [<class 'float'>, <class 'int'>],"
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" but got <class 'str'>.")
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test_invalid_input("invalid Q parameter type as a String", 44100, 1000, "0.707", TypeError,
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"Argument Q with value 0.707 is not of type [<class 'float'>, <class 'int'>],"
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" but got <class 'str'>.")
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test_invalid_input("invalid sample_rate parameter value", 441324343243242342345300, 1000, 0.707, 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 cutoff_freq parameter value", 44100, 32434324324234321, 0.707, ValueError,
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"Input cutoff_freq is not within the required interval of [-16777216, 16777216].")
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test_invalid_input("invalid sample_rate parameter value", None, 1000, 0.707, TypeError,
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"Argument sample_rate with value None is not of type [<class 'int'>], "
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"but got <class 'NoneType'>.")
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test_invalid_input("invalid cutoff_rate parameter value", 44100, None, 0.707, TypeError,
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"Argument cutoff_freq with value None is not of type [<class 'float'>, <class 'int'>],"
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" but got <class 'NoneType'>.")
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test_invalid_input("invalid sample_rate parameter value", 0, 1000, 0.707, 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 Q parameter value", 44100, 1000, 0, ValueError,
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"Input Q is not within the required interval of (0, 1].")
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if __name__ == "__main__":
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test_highpass_biquad_eager()
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test_highpass_biquad_pipeline()
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test_highpass_biquad_invalid_input()
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