You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
57 lines
2.0 KiB
57 lines
2.0 KiB
4 years ago
|
# 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()
|