# 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 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_detect_pitch_frequency_eager(): """ mindspore eager mode normal testcase:detect_pitch_frequency op""" # Original waveform waveform = np.array([[2.716064453125e-03, 6.34765625e-03, 9.246826171875e-03, 1.0894775390625e-02, 1.1383056640625e-02, 1.1566162109375e-02, 1.3946533203125e-02, 1.55029296875e-02, 1.6143798828125e-02, 1.8402099609375e-02], [1.7181396484375e-02, 1.59912109375e-02, 1.64794921875e-02, 1.5106201171875e-02, 1.385498046875e-02, 1.3458251953125e-02, 1.4190673828125e-02, 1.2847900390625e-02, 1.0528564453125e-02, 9.368896484375e-03]], dtype=np.float64) # Expect waveform expect_waveform = np.array( [[10., 10., 10.], [5., 5., 10.]], dtype=np.float64) detect_pitch_frequency_op = audio.DetectPitchFrequency(30, 0.1, 3, 5, 25) # Detect pitch frequence output = detect_pitch_frequency_op(waveform) count_unequal_element(expect_waveform, output, 0.0001, 0.0001) def test_detect_pitch_frequency_pipeline(): """ mindspore pipeline mode normal testcase:detect_pitch_frequency op""" # Original waveform waveform = np.array([[0.716064453125e-03, 5.34765625e-03, 6.246826171875e-03, 2.0894775390625e-02, 7.1383056640625e-02], [4.1566162109375e-02, 1.3946533203125e-02, 3.55029296875e-02, 0.6143798828125e-02, 3.8402099609375e-02]], dtype=np.float64) # Expect waveform expect_waveform = np.array([[10.0000], [7.5000]], dtype=np.float64) dataset = ds.NumpySlicesDataset(waveform, ["audio"], shuffle=False) detect_pitch_frequency_op = audio.DetectPitchFrequency(30, 0.1, 3, 5, 25) # Detect pitch frequence dataset = dataset.map(input_columns=["audio"], operations=detect_pitch_frequency_op, num_parallel_workers=8) i = 0 for item in dataset.create_dict_iterator(num_epochs=1, output_numpy=True): count_unequal_element(expect_waveform[i, :], item['audio'], 0.0001, 0.0001) i += 1 def test_detect_pitch_frequency_invalid_input(): def test_invalid_input(test_name, sample_rate, frame_time, win_length, freq_low, freq_high, error, error_msg): logger.info( "Test DetectPitchFrequency with bad input: {0}".format(test_name)) with pytest.raises(error) as error_info: audio.DetectPitchFrequency( sample_rate, frame_time, win_length, freq_low, freq_high) assert error_msg in str(error_info.value) test_invalid_input("invalid sample_rate parameter type as a float", 44100.5, 0.01, 30, 85, 3400, TypeError, "Argument sample_rate with value 44100.5 is not of type []," " but got .") test_invalid_input("invalid sample_rate parameter type as a String", "44100", 0.01, 30, 85, 3400, TypeError, "Argument sample_rate with value 44100 is not of type [], but got .") test_invalid_input("invalid frame_time parameter type as a String", 44100, "0.01", 30, 85, 3400, TypeError, "Argument frame_time with value 0.01 is not of type [, ]," " but got .") test_invalid_input("invalid win_length parameter type as a float", 44100, 0.01, 30.1, 85, 3400, TypeError, "Argument win_length with value 30.1 is not of type [], but got .") test_invalid_input("invalid win_length parameter type as a String", 44100, 0.01, "30", 85, 3400, TypeError, "Argument win_length with value 30 is not of type [], but got .") test_invalid_input("invalid freq_low parameter type as a String", 44100, 0.01, 30, "85", 3400, TypeError, "Argument freq_low with value 85 is not of type [, ]," " but got .") test_invalid_input("invalid freq_high parameter type as a String", 44100, 0.01, 30, 85, "3400", TypeError, "Argument freq_high with value 3400 is not of type [, ]," " but got .") test_invalid_input("invalid sample_rate parameter value", 0, 0.01, 30, 85, 3400, ValueError, "Input sample_rate is not within the required interval of [-2147483648, 0) and (0, 2147483647].") test_invalid_input("invalid frame_time parameter value", 44100, 0, 30, 85, 3400, ValueError, "Input frame_time is not within the required interval of (0, 16777216].") test_invalid_input("invalid win_length parameter value", 44100, 0.01, 0, 85, 3400, ValueError, "Input win_length is not within the required interval of [1, 2147483647].") test_invalid_input("invalid freq_low parameter value", 44100, 0.01, 30, 0, 3400, ValueError, "Input freq_low is not within the required interval of (0, 16777216].") test_invalid_input("invalid freq_high parameter value", 44100, 0.01, 30, 85, 0, ValueError, "Input freq_high is not within the required interval of (0, 16777216].") if __name__ == "__main__": test_detect_pitch_frequency_eager() test_detect_pitch_frequency_pipeline() test_detect_pitch_frequency_invalid_input()