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57 lines
2.0 KiB
57 lines
2.0 KiB
# 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 mindspore.dataset as ds
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from mindspore import log as logger
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def test_num_samples():
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manifest_file = "../data/dataset/testManifestData/test5trainimgs.json"
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num_samples = 1
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# sampler = ds.DistributedSampler(num_shards=1, shard_id=0, shuffle=False, num_samples=3, offset=1)
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data1 = ds.ManifestDataset(
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manifest_file, num_samples=num_samples, num_shards=3, shard_id=1
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)
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row_count = 0
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for _ in data1.create_dict_iterator(num_epochs=1, output_numpy=True):
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row_count += 1
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assert row_count == 1
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def test_num_samples_tf():
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logger.info("test_tfrecord_read_all_dataset")
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schema_file = "../data/dataset/testTFTestAllTypes/datasetSchemaNoRow.json"
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files = ["../data/dataset/testTFTestAllTypes/test.data"]
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# here num samples indicate the rows per shard. Total rows in file = 12
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ds1 = ds.TFRecordDataset(files, schema_file, num_samples=2)
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count = 0
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for _ in ds1.create_tuple_iterator(num_epochs=1):
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count += 1
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assert count == 2
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def test_num_samples_image_folder():
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data_dir = "../data/dataset/testPK/data"
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ds1 = ds.ImageFolderDataset(data_dir, num_samples=2, num_shards=2, shard_id=0)
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count = 0
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for _ in ds1.create_tuple_iterator(num_epochs=1):
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count += 1
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assert count == 2
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if __name__ == "__main__":
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test_num_samples()
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test_num_samples_tf()
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test_num_samples_image_folder()
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