forked from huawei/mindspore2022
162 lines
7.3 KiB
Python
162 lines
7.3 KiB
Python
# Copyright 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.transforms as audio
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from mindspore import log as logger
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def gen(shape):
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np.random.seed(0)
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data = np.random.random(shape)
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yield (np.array(data, dtype=np.float32),)
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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 allclose_nparray(data_expected, data_me, rtol, atol, equal_nan=True):
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if np.any(np.isnan(data_expected)):
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assert np.allclose(data_me, data_expected, rtol, atol, equal_nan=equal_nan)
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elif not np.allclose(data_me, data_expected, rtol, atol, equal_nan=equal_nan):
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count_unequal_element(data_expected, data_me, rtol, atol)
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def test_phase_vocoder_compare():
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"""
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Feature: PhaseVocoder
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Description: mindspore eager mode checking precision
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Expectation: the returned result is as expected
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"""
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indata_0 = np.array([[[[0.43189, 2.3049924],
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[-0.01202229, 0.9176453],
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[-0.6258611, 0.66475236],
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[0.13541847, 1.2829605],
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[0.9725325, 1.1669061]],
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[[-0.35001752, -1.0989336],
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[-1.4930767, 0.86829656],
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[0.3355314, -0.41216415],
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[-1.1828239, 1.0075365],
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[-0.19343425, 0.38364533]]]]).astype('float32')
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indata_1 = np.array([[[[0.43189, 2.3049924],
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[-0.01202229, 0.9176453],
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[-0.6258611, 0.66475236],
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[0.13541847, 1.2829605],
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[0.9725325, 1.1669061]],
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[[-0.35001752, -1.0989336],
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[-1.4930767, 0.86829656],
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[0.3355314, -0.41216415],
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[-1.1828239, 1.0075365],
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[-0.19343425, 0.38364533]]]]).astype('float64')
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rate = 2.
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phase_advance_0 = np.array([[0.0000], [3.9270]]).astype('float32')
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op_0 = audio.PhaseVocoder(rate, phase_advance_0)
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phase_advance_1 = np.array([[0.0000], [3.9270]]).astype('float64')
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op_1 = audio.PhaseVocoder(rate, phase_advance_1)
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outdata_0 = op_0(indata_0)
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outdata_1 = op_1(indata_1)
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stand_outdata = np.array([[[[0.43189007, 2.3049924],
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[-0.01196056, 0.9129374],
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[1.1385509, 1.00558]],
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[[-0.35001755, -1.0989336],
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[-0.4594292, 0.26718047],
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[0.404371, -0.14520557]]]]).astype('float32')
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allclose_nparray(outdata_0, stand_outdata, 0.0001, 0.0001)
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allclose_nparray(outdata_1, stand_outdata, 0.0001, 0.0001)
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def test_phase_vocoder_eager():
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"""
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Feature: PhaseVocoder
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Description: mindspore eager mode with normal testcase
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Expectation: the returned result is as expected
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"""
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logger.info("test PhaseVocoder op in eager mode")
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stft = next(gen([10, 10, 10, 2]))[0]
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out_put = audio.PhaseVocoder(1.3, np.random.randn(10, 1).astype('float32'))(stft)
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assert out_put.shape == (10, 10, 8, 2)
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def test_phase_vocoder_pipeline():
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"""
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Feature: PhaseVocoder
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Description: mindspore pipeline mode with normal testcase
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Expectation: the returned result is as expected
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"""
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logger.info("test PhaseVocoder op in pipeline mode")
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generator = gen([32, 33, 333, 2])
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data1 = ds.GeneratorDataset(source=generator, column_names=["input"])
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transforms = [audio.PhaseVocoder(0.8, np.random.randn(33, 1).astype('float32'))]
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data1 = data1.map(operations=transforms, input_columns=["input"])
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for item in data1.create_dict_iterator(num_epochs=1, output_numpy=True):
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out_put = item["input"]
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assert out_put.shape == (32, 33, 417, 2)
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def test_phase_vocoder_invalid_input():
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"""
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Feature: PhaseVocoder
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Description: mindspore eager mode with invalid input
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Expectation: the returned result is as expected
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"""
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def test_invalid_param(test_name, rate, phase_advance, error, error_msg):
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logger.info("Test PhaseVocoder with wrong params: {0}".format(test_name))
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with pytest.raises(error) as error_info:
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_ = audio.PhaseVocoder(rate, phase_advance)
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assert error_msg in str(error_info.value)
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def test_invalid_input(test_name, spec, rate, phase_advance, error, error_msg):
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logger.info("Test PhaseVocoder with wrong params: {0}".format(test_name))
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with pytest.raises(error) as error_info:
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_ = audio.PhaseVocoder(rate, phase_advance)(spec)
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assert error_msg in str(error_info.value)
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test_invalid_param("invalid phase_advance", 2, None, TypeError,
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"Argument phase_advance with value None is not of type")
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test_invalid_param("invalid phase_advance", 0, np.random.randn(4, 1), ValueError,
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"Input rate is not within the required interval of (0, 16777216].")
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spec = next(gen([1, 2, 2]))[0]
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test_invalid_input("invalid phase_advance", spec, 1.23, np.random.randn(4), RuntimeError,
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"PhaseVocoder: invalid parameter, 'phase_advance' should be in shape of <freq, 1>.")
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test_invalid_input("invalid phase_advance", spec, 1.1, np.random.randn(4, 4, 1), RuntimeError,
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"PhaseVocoder: invalid parameter, 'phase_advance' should be in shape of <freq, 1>.")
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test_invalid_input("invalid input tensor", spec, 2, np.random.randn(3, 1), RuntimeError,
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"PhaseVocoder: invalid parameter, 'first dimension of 'phase_advance'' should be equal")
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input_tensor = np.random.randn(4, 4, 2).astype('float32')
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input_phase_advance = np.random.randn(4, 1).astype('float64')
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test_invalid_input("invalid input tensor", input_tensor, 2, input_phase_advance, RuntimeError,
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"PhaseVocoder: invalid parameter, data type of phase_advance should be equal to data")
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if __name__ == "__main__":
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test_phase_vocoder_compare()
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test_phase_vocoder_eager()
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test_phase_vocoder_pipeline()
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test_phase_vocoder_invalid_input()
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