# 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_sliding_window_cmn_eager(): """ Feature: test the basic function in eager mode. Description: mindspore eager mode normal testcase:sliding_window_cmn op. Expectation: compile done without error. """ # Original waveform waveform_1 = np.array([[[0.0000, 0.1000, 0.2000], [0.3000, 0.4000, 0.5000]], [[0.6000, 0.7000, 0.8000], [0.9000, 1.0000, 1.1000]]], dtype=np.float64) # Expect waveform expect_waveform_1 = np.array([[[-0.1500, -0.1500, -0.1500], [0.1500, 0.1500, 0.1500]], [[-0.1500, -0.1500, -0.1500], [0.1500, 0.1500, 0.1500]]], dtype=np.float64) sliding_window_cmn_op_1 = audio.SlidingWindowCmn(500, 200, False, False) # Filtered waveform by sliding_window_cmn output_1 = sliding_window_cmn_op_1(waveform_1) count_unequal_element(expect_waveform_1, output_1, 0.0001, 0.0001) # Original waveform waveform_2 = np.array([[0.0050, 0.0306, 0.6146, 0.7620, 0.6369], [0.9525, 0.0362, 0.6721, 0.6867, 0.8466]], dtype=np.float32) # Expect waveform expect_waveform_2 = np.array([[-1.0000, -1.0000, -1.0000, 1.0000, -1.0000], [1.0000, 1.0000, 1.0000, -1.0000, 1.0000]], dtype=np.float32) sliding_window_cmn_op_2 = audio.SlidingWindowCmn(600, 100, False, True) # Filtered waveform by sliding_window_cmn output_2 = sliding_window_cmn_op_2(waveform_2) count_unequal_element(expect_waveform_2, output_2, 0.0001, 0.0001) # Original waveform waveform_3 = np.array([[[0.3764, 0.4168, 0.0635, 0.7082, 0.4596, 0.3457, 0.8438, 0.8860, 0.9151, 0.5746, 0.6630, 0.0260, 0.2631, 0.7410, 0.5627, 0.6749, 0.7099, 0.1120, 0.4794, 0.2778], [0.4157, 0.2246, 0.2488, 0.2686, 0.0562, 0.4422, 0.9407, 0.0756, 0.5737, 0.7501, 0.3122, 0.7982, 0.3034, 0.1880, 0.2298, 0.0961, 0.7439, 0.9947, 0.8156, 0.2907]]], dtype=np.float64) # Expect waveform expect_waveform_3 = np.array([[[-1.0000, 1.0000, -1.0000, 1.0000, 1.0000, -1.0000, -1.0000, 1.0000, 1.0000, -1.0000, 1.0000, -1.0000, -1.0000, 1.0000, 1.0000, 1.0000, -1.0000, -1.0000, -1.0000, -1.0000], [1.0000, -1.0000, 1.0000, -1.0000, -1.0000, 1.0000, 1.0000, -1.0000, -1.0000, 1.0000, -1.0000, 1.0000, 1.0000, -1.0000, -1.0000, -1.0000, 1.0000, 1.0000, 1.0000, 1.0000]]], dtype=np.float64) sliding_window_cmn_op_3 = audio.SlidingWindowCmn(3, 0, True, True) # Filtered waveform by sliding_window_cmn output_3 = sliding_window_cmn_op_3(waveform_3) count_unequal_element(expect_waveform_3, output_3, 0.0001, 0.0001) def test_sliding_window_cmn_pipeline(): """ Feature: test the basic function in pipeline mode. Description: mindspore pipeline mode normal testcase:sliding_window_cmn op. Expectation: compile done without error. """ # Original waveform waveform = np.array([[[3.2, 2.1, 1.3], [6.2, 5.3, 6]]], dtype=np.float64) # Expect waveform expect_waveform = np.array([[[-1.0000, -1.0000, -1.0000], [1.0000, 1.0000, 1.0000]]], dtype=np.float64) dataset = ds.NumpySlicesDataset(waveform, ["audio"], shuffle=False) sliding_window_cmn_op = audio.SlidingWindowCmn(600, 100, False, True) # Filtered waveform by sliding_window_cmn dataset = dataset.map(input_columns=["audio"], operations=sliding_window_cmn_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_sliding_window_cmn_invalid_input(): """ Feature: test the validate function with invalid parameters. Description: mindspore invalid parameters testcase:sliding_window_cmn op. Expectation: compile done without error. """ def test_invalid_input(test_name, cmn_window, min_cmn_window, center, norm_vars, error, error_msg): logger.info("Test SlidingWindowCmn with bad input: {0}".format(test_name)) with pytest.raises(error) as error_info: audio.SlidingWindowCmn(cmn_window, min_cmn_window, center, norm_vars) assert error_msg in str(error_info.value) test_invalid_input("invalid cmn_window parameter type as a String", "600", 100, False, False, TypeError, "Argument cmn_window with value 600 is not of type []," " but got .") test_invalid_input("invalid cmn_window parameter value", 441324343243242342345300, 100, False, False, ValueError, "Input cmn_window is not within the required interval of [0, 2147483647].") test_invalid_input("invalid min_cmn_window parameter type as a String", 600, "100", False, False, TypeError, "Argument min_cmn_window with value 100 is not of type []," " but got .") test_invalid_input("invalid min_cmn_window parameter value", 600, 441324343243242342345300, False, False, ValueError, "Input min_cmn_window is not within the required interval of [0, 2147483647].") test_invalid_input("invalid center parameter type as a String", 600, 100, "False", False, TypeError, "Argument center with value False is not of type []," " but got .") test_invalid_input("invalid norm_vars parameter type as a String", 600, 100, False, "False", TypeError, "Argument norm_vars with value False is not of type []," " but got .") if __name__ == '__main__': test_sliding_window_cmn_eager() test_sliding_window_cmn_pipeline() test_sliding_window_cmn_invalid_input()