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- # Copyright 2022 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.
- # ============================================================================
- """dataset"""
- import mindspore.dataset as ds
-
-
- class Dataset:
- def __init__(self, data):
- self.data = data
-
- def __len__(self):
- return len(self.data)
-
- def __getitem__(self, index):
- data = self.data[index]
- return data[:2], data[2]
-
-
- def create_dataset(data, batch_size, rank_size=1, rank_id=0, num_parallel_workers=8, is_training=True):
- train_ds = Dataset(data)
- train_loader = ds.GeneratorDataset(train_ds, column_names=["data", "label"],
- num_parallel_workers=num_parallel_workers,
- shuffle=is_training, num_shards=rank_size, shard_id=rank_id)
- train_loader = train_loader.batch(batch_size=batch_size, drop_remainder=True)
- return train_loader
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