forked from huawei/mindspore2022
406 lines
15 KiB
Python
406 lines
15 KiB
Python
# 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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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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DATA_DIR_TEDLIUM_RELEASE12 = "../data/dataset/testTedliumData/TEDLIUM_release1"
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DATA_DIR_TEDLIUM_RELEASE3 = "../data/dataset/testTedliumData/TEDLIUM_release3"
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RELEASE1 = "release1"
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RELEASE2 = "release2"
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RELEASE3 = "release3"
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NO_SPH_DIR_TEDLIUM12 = "../data/dataset/testTedliumData/else"
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def test_tedlium_basic():
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"""
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Feature: TedliumDataset
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Description: use different data to test the functions of different versions
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Expectation: num_samples
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set 1 2 4
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get 1 2 4
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num_parallel_workers
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set 1 2 4(num_samples=4)
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get 4 4 4
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num repeat
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set 3(num_samples=5)
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get 15
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"""
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# case1 test num_samples
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data11 = ds.TedliumDataset(DATA_DIR_TEDLIUM_RELEASE12, RELEASE1, num_samples=1)
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data12 = ds.TedliumDataset(DATA_DIR_TEDLIUM_RELEASE12, RELEASE2, num_samples=2)
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data13 = ds.TedliumDataset(DATA_DIR_TEDLIUM_RELEASE3, RELEASE3, num_samples=4)
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num_iter11 = 0
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num_iter12 = 0
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num_iter13 = 0
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for _ in data11.create_dict_iterator(num_epochs=1, output_numpy=True):
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num_iter11 += 1
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for _ in data12.create_dict_iterator(num_epochs=1, output_numpy=True):
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num_iter12 += 1
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for _ in data13.create_dict_iterator(num_epochs=1, output_numpy=True):
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num_iter13 += 1
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assert num_iter11 == 1
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assert num_iter12 == 2
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assert num_iter13 == 4
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# case2 test num_parallel_workers
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data21 = ds.TedliumDataset(DATA_DIR_TEDLIUM_RELEASE12, RELEASE1, num_samples=4, num_parallel_workers=1)
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data22 = ds.TedliumDataset(DATA_DIR_TEDLIUM_RELEASE12, RELEASE2, num_samples=4, num_parallel_workers=2)
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data23 = ds.TedliumDataset(DATA_DIR_TEDLIUM_RELEASE3, RELEASE3, num_samples=4, num_parallel_workers=4)
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num_iter21 = 0
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num_iter22 = 0
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num_iter23 = 0
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for _ in data21.create_dict_iterator(num_epochs=1, output_numpy=True):
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num_iter21 += 1
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for _ in data22.create_dict_iterator(num_epochs=1, output_numpy=True):
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num_iter22 += 1
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for _ in data23.create_dict_iterator(num_epochs=1, output_numpy=True):
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num_iter23 += 1
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assert num_iter21 == 4
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assert num_iter22 == 4
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assert num_iter23 == 4
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# case3 test repeat
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data3 = ds.TedliumDataset(DATA_DIR_TEDLIUM_RELEASE12, RELEASE1, num_samples=5)
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data3 = data3.repeat(3)
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num_iter3 = 0
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for _ in data3.create_dict_iterator(num_epochs=1, output_numpy=True):
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num_iter3 += 1
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assert num_iter3 == 15
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def test_tedlium_content_check():
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"""
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Feature: TedliumDataset
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Description: Check content of the first sample
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Expectation: correct content
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"""
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data1 = ds.TedliumDataset(DATA_DIR_TEDLIUM_RELEASE12, RELEASE1, num_samples=1, shuffle=False)
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data3 = ds.TedliumDataset(DATA_DIR_TEDLIUM_RELEASE3, RELEASE3, num_samples=1, shuffle=False)
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num_iter1 = 0
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num_iter3 = 0
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for d in data1.create_dict_iterator(num_epochs=1, output_numpy=True):
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waveform = d["waveform"]
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sample_rate = d["sample_rate"]
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transcript = d["transcript"]
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talk_id = d["talk_id"]
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speaker_id = d["speaker_id"]
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identifier = d["identifier"]
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assert waveform.dtype == np.float32
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assert waveform.shape == (1, 480)
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assert sample_rate == 16000
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assert sample_rate.dtype == np.int32
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assert talk_id.item().decode("utf8") == "test1"
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assert speaker_id.item().decode("utf8") == "test1"
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assert transcript.item().decode("utf8") == "this is record 1 of test1."
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assert identifier.item().decode("utf8") == "<o,f0,female>"
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num_iter1 += 1
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for d in data3.create_dict_iterator(num_epochs=1, output_numpy=True):
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waveform = d["waveform"]
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sample_rate = d["sample_rate"]
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transcript = d["transcript"]
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talk_id = d["talk_id"]
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speaker_id = d["speaker_id"]
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identifier = d["identifier"]
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assert waveform.dtype == np.float32
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assert waveform.shape == (1, 160)
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assert sample_rate == 16000
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assert sample_rate.dtype == np.int32
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assert talk_id.item().decode("utf8") == "test3"
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assert speaker_id.item().decode("utf8") == "test3"
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assert transcript.item().decode("utf8") == "this is record 1 of test3."
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assert identifier.item().decode("utf8") == "<o,f0,female>"
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num_iter3 += 1
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assert num_iter1 == 1
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assert num_iter3 == 1
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def test_tedlium_exceptions():
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"""
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Feature: TedliumDataset
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Description: send error when error occur
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Expectation: send error
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"""
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error_msg_1 = "sampler and shuffle cannot be specified at the same time"
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with pytest.raises(RuntimeError, match=error_msg_1):
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ds.TedliumDataset(DATA_DIR_TEDLIUM_RELEASE12, RELEASE1, shuffle=False, sampler=ds.PKSampler(3))
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error_msg_2 = "sampler and sharding cannot be specified at the same time"
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with pytest.raises(RuntimeError, match=error_msg_2):
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ds.TedliumDataset(DATA_DIR_TEDLIUM_RELEASE12, RELEASE1, sampler=ds.PKSampler(3), num_shards=2, shard_id=0)
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error_msg_3 = "num_shards is specified and currently requires shard_id as well"
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with pytest.raises(RuntimeError, match=error_msg_3):
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ds.TedliumDataset(DATA_DIR_TEDLIUM_RELEASE12, RELEASE2, num_shards=10)
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error_msg_4 = "shard_id is specified but num_shards is not"
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with pytest.raises(RuntimeError, match=error_msg_4):
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ds.TedliumDataset(DATA_DIR_TEDLIUM_RELEASE12, RELEASE2, shard_id=0)
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error_msg_5 = "Input shard_id is not within the required interval"
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with pytest.raises(ValueError, match=error_msg_5):
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ds.TedliumDataset(DATA_DIR_TEDLIUM_RELEASE3, RELEASE3, num_shards=2, shard_id=-1)
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with pytest.raises(ValueError, match=error_msg_5):
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ds.TedliumDataset(DATA_DIR_TEDLIUM_RELEASE3, RELEASE3, num_shards=2, shard_id=5)
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error_msg_6 = "num_parallel_workers exceeds"
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with pytest.raises(ValueError, match=error_msg_6):
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ds.TedliumDataset(DATA_DIR_TEDLIUM_RELEASE3, RELEASE3, shuffle=False, num_parallel_workers=0)
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with pytest.raises(ValueError, match=error_msg_6):
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ds.TedliumDataset(DATA_DIR_TEDLIUM_RELEASE3, RELEASE3, shuffle=False, num_parallel_workers=256)
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error_msg_7 = "Invalid data, no valid data matching the dataset API TedliumDataset"
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with pytest.raises(RuntimeError, match=error_msg_7):
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ds1 = ds.TedliumDataset(NO_SPH_DIR_TEDLIUM12, RELEASE1, "train")
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for _ in ds1.__iter__():
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pass
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def test_tedlium_exception_file_path():
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"""
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Feature: TedliumDataset
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Description: error test
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Expectation: throw error
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"""
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def exception_func(item):
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raise Exception("Error occur!")
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try:
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data = ds.TedliumDataset(DATA_DIR_TEDLIUM_RELEASE12, RELEASE1)
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data = data.map(operations=exception_func, input_columns=["waveform"], num_parallel_workers=1)
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num_rows = 0
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for _ in data.create_dict_iterator():
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num_rows += 1
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assert False
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except RuntimeError as e:
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assert "map operation: [PyFunc] failed. The corresponding data files" in str(e)
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try:
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data = ds.TedliumDataset(DATA_DIR_TEDLIUM_RELEASE12, RELEASE1)
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data = data.map(operations=exception_func, input_columns=["sample_rate"], num_parallel_workers=1)
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num_rows = 0
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for _ in data.create_dict_iterator():
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num_rows += 1
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assert False
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except RuntimeError as e:
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assert "map operation: [PyFunc] failed. The corresponding data files" in str(e)
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try:
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data = ds.TedliumDataset(DATA_DIR_TEDLIUM_RELEASE12, RELEASE2)
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data = data.map(operations=exception_func, input_columns=["transcript"], num_parallel_workers=1)
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num_rows = 0
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for _ in data.create_dict_iterator():
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num_rows += 1
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assert False
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except RuntimeError as e:
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assert "map operation: [PyFunc] failed. The corresponding data files" in str(e)
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try:
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data = ds.TedliumDataset(DATA_DIR_TEDLIUM_RELEASE12, RELEASE2)
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data = data.map(operations=exception_func, input_columns=["talk_id"], num_parallel_workers=1)
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num_rows = 0
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for _ in data.create_dict_iterator():
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num_rows += 1
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assert False
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except RuntimeError as e:
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assert "map operation: [PyFunc] failed. The corresponding data files" in str(e)
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try:
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data = ds.TedliumDataset(DATA_DIR_TEDLIUM_RELEASE3, RELEASE3)
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data = data.map(operations=exception_func, input_columns=["speaker_id"], num_parallel_workers=1)
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num_rows = 0
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for _ in data.create_dict_iterator():
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num_rows += 1
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assert False
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except RuntimeError as e:
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assert "map operation: [PyFunc] failed. The corresponding data files" in str(e)
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try:
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data = ds.TedliumDataset(DATA_DIR_TEDLIUM_RELEASE3, RELEASE3)
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data = data.map(operations=exception_func, input_columns=["identifier"], num_parallel_workers=1)
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num_rows = 0
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for _ in data.create_dict_iterator():
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num_rows += 1
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assert False
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except RuntimeError as e:
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assert "map operation: [PyFunc] failed. The corresponding data files" in str(e)
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def test_tedlium_extensions():
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"""
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Feature: TedliumDataset
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Description: test extensions of tedlium
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Expectation: extensions
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set invalid data
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get throw error
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"""
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try:
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data = ds.TedliumDataset(DATA_DIR_TEDLIUM_RELEASE12, RELEASE1, "train", "invalid")
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for _ in data.create_dict_iterator(output_numpy=True):
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pass
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assert False
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except RuntimeError as e:
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assert "is not supported." in str(e)
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def test_tedlium_release():
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"""
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Feature: TedliumDataset
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Description: test release of tedlium
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Expectation: release
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set invalid data
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get throw error
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"""
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def test_config(release):
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try:
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ds.TedliumDataset(DATA_DIR_TEDLIUM_RELEASE12, release)
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except (ValueError, TypeError, RuntimeError) as e:
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return str(e)
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return None
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# test the release
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assert "release is not within the valid set of ['release1', 'release2', 'release3']" in test_config("invalid")
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assert "Argument release with value None is not of type [<class 'str'>]" in test_config(None)
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assert "Argument release with value ['list'] is not of type [<class 'str'>]" in test_config(["list"])
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def test_tedlium_sequential_sampler():
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"""
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Feature: TedliumDataset
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Description: test tedlium sequential sampler
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Expectation: correct data
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"""
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num_samples = 3
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sampler = ds.SequentialSampler(num_samples=num_samples)
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data21 = ds.TedliumDataset(DATA_DIR_TEDLIUM_RELEASE12, RELEASE2, sampler=sampler)
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data22 = ds.TedliumDataset(DATA_DIR_TEDLIUM_RELEASE12, RELEASE2, shuffle=False, num_samples=num_samples)
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num_iter2 = 0
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for item1, item2 in zip(data21.create_dict_iterator(num_epochs=1, output_numpy=True),
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data22.create_dict_iterator(num_epochs=1, output_numpy=True)):
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np.testing.assert_equal(item1["waveform"], item2["waveform"])
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num_iter2 += 1
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assert num_iter2 == num_samples
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def test_tedlium_sampler_get_dataset_size():
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"""
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Feature: TedliumDataset
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Description: test TedliumDataset with SequentialSampler and get_dataset_size
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Expectation: num_samples
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set 5
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get 5
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"""
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sampler = ds.SequentialSampler(start_index=0, num_samples=5)
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data3 = ds.TedliumDataset(DATA_DIR_TEDLIUM_RELEASE3, RELEASE3, sampler=sampler)
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num_iter3 = 0
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ds_sz3 = data3.get_dataset_size()
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for _ in data3.create_dict_iterator(num_epochs=1, output_numpy=True):
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num_iter3 += 1
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assert ds_sz3 == num_iter3 == 5
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def test_tedlium_usage():
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"""
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Feature: TedliumDataset
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Description: test usage of tedlium
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Expectation: usage
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set valid data invalid data
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get correct data throw error
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"""
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def test_config_tedlium12(usage):
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try:
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data1 = ds.TedliumDataset(DATA_DIR_TEDLIUM_RELEASE12, RELEASE1, usage=usage)
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data2 = ds.TedliumDataset(DATA_DIR_TEDLIUM_RELEASE12, RELEASE2, usage=usage)
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num_rows = 0
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for _ in data1.create_dict_iterator(num_epochs=1, output_numpy=True):
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num_rows += 1
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for _ in data2.create_dict_iterator(num_epochs=1, output_numpy=True):
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num_rows += 1
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except (ValueError, TypeError, RuntimeError) as e:
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return str(e)
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return num_rows
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# test the usage of TEDLIUM
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assert test_config_tedlium12("dev") == 1 + 1
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assert test_config_tedlium12("test") == 2 + 2
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assert test_config_tedlium12("train") == 3 + 3
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assert test_config_tedlium12("all") == 1 + 1 + 2 + 2 + 3 + 3
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assert "usage is not within the valid set of ['train', 'test', 'dev', 'all']" in test_config_tedlium12("invalid")
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assert "Argument usage with value ['list'] is not of type [<class 'str'>]" in test_config_tedlium12(["list"])
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def test_tedlium_with_chained_sampler_get_dataset_size():
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"""
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Feature: TedliumDataset
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Description: test TedliumDataset with RandomSampler chained with a SequentialSampler and get_dataset_size
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Expectation: num_samples
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set 2
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get 2
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"""
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sampler = ds.SequentialSampler(start_index=0, num_samples=2)
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child_sampler = ds.RandomSampler()
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sampler.add_child(child_sampler)
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data1 = ds.TedliumDataset(DATA_DIR_TEDLIUM_RELEASE12, RELEASE1, sampler=sampler)
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num_iter1 = 0
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ds_sz1 = data1.get_dataset_size()
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for _ in data1.create_dict_iterator(num_epochs=1, output_numpy=True):
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num_iter1 += 1
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assert ds_sz1 == num_iter1 == 2
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def test_tedlium_pipeline():
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"""
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Feature: TedliumDataset
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Description: Read a sample
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Expectation: The amount of each function are equal
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"""
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# Original waveform
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dataset = ds.TedliumDataset(DATA_DIR_TEDLIUM_RELEASE12, RELEASE1, num_samples=1)
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band_biquad_op = audio.BandBiquad(8000, 200.0)
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# Filtered waveform by bandbiquad
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dataset = dataset.map(input_columns=["waveform"], operations=band_biquad_op, num_parallel_workers=2)
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i = 0
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for _ in dataset.create_dict_iterator(num_epochs=1, output_numpy=True):
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i += 1
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assert i == 1
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if __name__ == '__main__':
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test_tedlium_basic()
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test_tedlium_content_check()
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test_tedlium_exceptions()
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test_tedlium_exception_file_path()
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test_tedlium_extensions()
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test_tedlium_release()
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test_tedlium_sequential_sampler()
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test_tedlium_sampler_get_dataset_size()
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test_tedlium_usage()
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test_tedlium_with_chained_sampler_get_dataset_size()
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test_tedlium_pipeline()
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