mindspore2022/tests/ut/python/dataset/test_minddataset_autotune.py

61 lines
2.1 KiB
Python

# 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.
# ==============================================================================
"""
Testing Autotune support in DE for MindDataset
"""
import os
import pytest
import mindspore.dataset as ds
import mindspore.dataset.vision.c_transforms as vision
from mindspore.dataset.vision import Inter
from util_minddataset import add_and_remove_cv_file
# pylint: disable=unused-variable, redefined-outer-name
@pytest.mark.forked
def test_autotune_simple_pipeline_mindrecord(add_and_remove_cv_file):
"""
Feature: Autotuning
Description: test simple pipeline of autotune - MindDataset -> Map -> Batch -> Repeat
Expectation: pipeline runs successfully
"""
ds.config.set_enable_autotune(True)
columns_list = ["data", "label"]
num_readers = 1
file_name = os.environ.get('PYTEST_CURRENT_TEST').split(':')[-1].split(' ')[0]
data1 = ds.MindDataset(file_name + "0", columns_list, num_readers)
assert data1.get_dataset_size() == 10
decode_op = vision.Decode()
data1 = data1.map(
input_columns=["data"], operations=decode_op, num_parallel_workers=2)
resize_op = vision.Resize((32, 32), interpolation=Inter.LINEAR)
data1 = data1.map(operations=resize_op, input_columns=["data"],
num_parallel_workers=2)
data1 = data1.batch(2)
data1 = data1.repeat(20)
i = 0
for _ in data1.create_dict_iterator(num_epochs=1, output_numpy=True):
i += 1
assert i == 100
ds.config.set_enable_autotune(False)
if __name__ == '__main__':
test_autotune_simple_pipeline_mindrecord(add_and_remove_cv_file)