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