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提交 06ed9ffd 编写于 作者: M mindspore-ci-bot 提交者： Gitee
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!3183 Remove files on test fail for test_minddataset*.py 

Merge pull request !3183 from tony_liu2/master
上级 60feafd7 1f4251a4
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Showing with 1313 addition and 1090 deletion
tests/ut/python/dataset/test_minddataset.py
浏览文件 @ 06ed9ffd
......@@ -46,6 +46,7 @@ def add_and_remove_cv_file():
"""add/remove cv file"""
paths = ["{}{}".format(CV_FILE_NAME, str(x).rjust(1, '0'))
for x in range(FILES_NUM)]
try:
for x in paths:
if os.path.exists("{}".format(x)):
os.remove("{}".format(x))
......@@ -62,16 +63,22 @@ def add_and_remove_cv_file():
writer.write_raw_data(data)
writer.commit()
yield "yield_cv_data"
except Exception as error:
for x in paths:
os.remove("{}".format(x))
os.remove("{}.db".format(x))
raise error
else:
for x in paths:
os.remove("{}".format(x))
os.remove("{}.db".format(x))
@pytest.fixture
def add_and_remove_nlp_file():
"""add/remove nlp file"""
paths = ["{}{}".format(NLP_FILE_NAME, str(x).rjust(1, '0'))
for x in range(FILES_NUM)]
try:
for x in paths:
if os.path.exists("{}".format(x)):
os.remove("{}".format(x))
......@@ -95,6 +102,12 @@ def add_and_remove_nlp_file():
writer.write_raw_data(data)
writer.commit()
yield "yield_nlp_data"
except Exception as error:
for x in paths:
os.remove("{}".format(x))
os.remove("{}.db".format(x))
raise error
else:
for x in paths:
os.remove("{}".format(x))
os.remove("{}.db".format(x))
......@@ -105,6 +118,7 @@ def add_and_remove_nlp_compress_file():
"""add/remove nlp file"""
paths = ["{}{}".format(NLP_FILE_NAME, str(x).rjust(1, '0'))
for x in range(FILES_NUM)]
try:
for x in paths:
if os.path.exists("{}".format(x)):
os.remove("{}".format(x))
......@@ -140,6 +154,12 @@ def add_and_remove_nlp_compress_file():
writer.write_raw_data(data)
writer.commit()
yield "yield_nlp_data"
except Exception as error:
for x in paths:
os.remove("{}".format(x))
os.remove("{}.db".format(x))
raise error
else:
for x in paths:
os.remove("{}".format(x))
os.remove("{}.db".format(x))
......@@ -199,6 +219,7 @@ def test_cv_minddataset_writer_tutorial():
"""tutorial for cv dataset writer."""
paths = ["{}{}".format(CV_FILE_NAME, str(x).rjust(1, '0'))
for x in range(FILES_NUM)]
try:
for x in paths:
if os.path.exists("{}".format(x)):
os.remove("{}".format(x))
......@@ -212,6 +233,12 @@ def test_cv_minddataset_writer_tutorial():
writer.add_index(["file_name", "label"])
writer.write_raw_data(data)
writer.commit()
except Exception as error:
for x in paths:
os.remove("{}".format(x))
os.remove("{}.db".format(x))
raise error
else:
for x in paths:
os.remove("{}".format(x))
os.remove("{}.db".format(x))
......@@ -654,6 +681,7 @@ def test_cv_minddataset_reader_one_partition(add_and_remove_cv_file):
def test_cv_minddataset_reader_two_dataset(add_and_remove_cv_file):
"""tutorial for cv minderdataset."""
try:
if os.path.exists(CV1_FILE_NAME):
os.remove(CV1_FILE_NAME)
if os.path.exists("{}.db".format(CV1_FILE_NAME)):
......@@ -702,6 +730,17 @@ def test_cv_minddataset_reader_two_dataset(add_and_remove_cv_file):
"-------------- item[label]: {} ----------------------------".format(item["label"]))
num_iter += 1
assert num_iter == 30
except Exception as error:
if os.path.exists(CV1_FILE_NAME):
os.remove(CV1_FILE_NAME)
if os.path.exists("{}.db".format(CV1_FILE_NAME)):
os.remove("{}.db".format(CV1_FILE_NAME))
if os.path.exists(CV2_FILE_NAME):
os.remove(CV2_FILE_NAME)
if os.path.exists("{}.db".format(CV2_FILE_NAME)):
os.remove("{}.db".format(CV2_FILE_NAME))
raise error
else:
if os.path.exists(CV1_FILE_NAME):
os.remove(CV1_FILE_NAME)
if os.path.exists("{}.db".format(CV1_FILE_NAME)):
......@@ -710,11 +749,11 @@ def test_cv_minddataset_reader_two_dataset(add_and_remove_cv_file):
os.remove(CV2_FILE_NAME)
if os.path.exists("{}.db".format(CV2_FILE_NAME)):
os.remove("{}.db".format(CV2_FILE_NAME))
def test_cv_minddataset_reader_two_dataset_partition(add_and_remove_cv_file):
paths = ["{}{}".format(CV1_FILE_NAME, str(x).rjust(1, '0'))
for x in range(FILES_NUM)]
try:
for x in paths:
if os.path.exists("{}".format(x)):
os.remove("{}".format(x))
......@@ -733,7 +772,8 @@ def test_cv_minddataset_reader_two_dataset_partition(add_and_remove_cv_file):
columns_list = ["data", "file_name", "label"]
num_readers = 4
data_set = ds.MindDataset([CV_FILE_NAME + str(x) for x in range(2)] + [CV1_FILE_NAME + str(x) for x in range(2, 4)],
data_set = ds.MindDataset([CV_FILE_NAME + str(x) for x in range(2)] +
[CV1_FILE_NAME + str(x) for x in range(2, 4)],
columns_list, num_readers)
assert data_set.get_dataset_size() < 20
num_iter = 0
......@@ -750,10 +790,15 @@ def test_cv_minddataset_reader_two_dataset_partition(add_and_remove_cv_file):
"-------------- item[label]: {} ----------------------------".format(item["label"]))
num_iter += 1
assert num_iter < 20
except Exception as error:
for x in paths:
os.remove("{}".format(x))
os.remove("{}.db".format(x))
raise error
else:
for x in paths:
os.remove("{}".format(x))
os.remove("{}.db".format(x))
def test_cv_minddataset_reader_basic_tutorial(add_and_remove_cv_file):
"""tutorial for cv minderdataset."""
......@@ -1086,6 +1131,7 @@ def inputs(vectors, maxlen=50):
def test_write_with_multi_bytes_and_array_and_read_by_MindDataset():
mindrecord_file_name = "test.mindrecord"
try:
if os.path.exists("{}".format(mindrecord_file_name)):
os.remove("{}".format(mindrecord_file_name))
if os.path.exists("{}.db".format(mindrecord_file_name)):
......@@ -1238,8 +1284,7 @@ def test_write_with_multi_bytes_and_array_and_read_by_MindDataset():
num_readers = 1
data_set = ds.MindDataset(dataset_file=mindrecord_file_name,
columns_list=[
"image2", "source_sos_mask", "image3", "target_sos_ids"],
columns_list=["image2", "source_sos_mask", "image3", "target_sos_ids"],
num_parallel_workers=num_readers,
shuffle=False)
assert data_set.get_dataset_size() == 6
......@@ -1314,8 +1359,9 @@ def test_write_with_multi_bytes_and_array_and_read_by_MindDataset():
num_readers = 2
data_set = ds.MindDataset(dataset_file=mindrecord_file_name,
columns_list=["label", "target_eos_mask", "image1", "target_eos_ids", "source_sos_mask",
"image2", "image4", "image3", "source_sos_ids", "image5", "file_name"],
columns_list=["label", "target_eos_mask", "image1", "target_eos_ids",
"source_sos_mask", "image2", "image4", "image3",
"source_sos_ids", "image5", "file_name"],
num_parallel_workers=num_readers,
shuffle=False)
assert data_set.get_dataset_size() == 6
......@@ -1330,13 +1376,18 @@ def test_write_with_multi_bytes_and_array_and_read_by_MindDataset():
assert item[field] == data_value_to_list[num_iter][field]
num_iter += 1
assert num_iter == 6
except Exception as error:
os.remove("{}".format(mindrecord_file_name))
os.remove("{}.db".format(mindrecord_file_name))
raise error
else:
os.remove("{}".format(mindrecord_file_name))
os.remove("{}.db".format(mindrecord_file_name))
def test_write_with_multi_bytes_and_MindDataset():
mindrecord_file_name = "test.mindrecord"
try:
data = [{"file_name": "001.jpg", "label": 43,
"image1": bytes("image1 bytes abc", encoding='UTF-8'),
"image2": bytes("image1 bytes def", encoding='UTF-8'),
......@@ -1506,13 +1557,17 @@ def test_write_with_multi_bytes_and_MindDataset():
assert item[field] == data_value_to_list[num_iter][field]
num_iter += 1
assert num_iter == 6
except Exception as error:
os.remove("{}".format(mindrecord_file_name))
os.remove("{}.db".format(mindrecord_file_name))
raise error
else:
os.remove("{}".format(mindrecord_file_name))
os.remove("{}.db".format(mindrecord_file_name))
def test_write_with_multi_array_and_MindDataset():
mindrecord_file_name = "test.mindrecord"
try:
data = [{"source_sos_ids": np.array([1, 2, 3, 4, 5], dtype=np.int64),
"source_sos_mask": np.array([6, 7, 8, 9, 10, 11, 12], dtype=np.int64),
"source_eos_ids": np.array([13, 14, 15, 16, 17, 18], dtype=np.int64),
......@@ -1704,12 +1759,64 @@ def test_write_with_multi_array_and_MindDataset():
assert item[field] == data_value_to_list[num_iter][field]
num_iter += 1
assert num_iter == 6
except Exception as error:
os.remove("{}".format(mindrecord_file_name))
os.remove("{}.db".format(mindrecord_file_name))
raise error
else:
os.remove("{}".format(mindrecord_file_name))
os.remove("{}.db".format(mindrecord_file_name))
def test_numpy_generic():
paths = ["{}{}".format(CV_FILE_NAME, str(x).rjust(1, '0'))
for x in range(FILES_NUM)]
try:
for x in paths:
if os.path.exists("{}".format(x)):
os.remove("{}".format(x))
if os.path.exists("{}.db".format(x)):
os.remove("{}.db".format(x))
writer = FileWriter(CV_FILE_NAME, FILES_NUM)
cv_schema_json = {"label1": {"type": "int32"}, "label2": {"type": "int64"},
"label3": {"type": "float32"}, "label4": {"type": "float64"}}
data = []
for idx in range(10):
row = {}
row['label1'] = np.int32(idx)
row['label2'] = np.int64(idx*10)
row['label3'] = np.float32(idx+0.12345)
row['label4'] = np.float64(idx+0.12345789)
data.append(row)
writer.add_schema(cv_schema_json, "img_schema")
writer.write_raw_data(data)
writer.commit()
num_readers = 4
data_set = ds.MindDataset(CV_FILE_NAME + "0", None, num_readers, shuffle=False)
assert data_set.get_dataset_size() == 10
idx = 0
for item in data_set.create_dict_iterator():
assert item['label1'] == item['label1']
assert item['label2'] == item['label2']
assert item['label3'] == item['label3']
assert item['label4'] == item['label4']
idx += 1
assert idx == 10
except Exception as error:
for x in paths:
os.remove("{}".format(x))
os.remove("{}.db".format(x))
raise error
else:
for x in paths:
os.remove("{}".format(x))
os.remove("{}.db".format(x))
def test_write_with_float32_float64_float32_array_float64_array_and_MindDataset():
mindrecord_file_name = "test.mindrecord"
try:
data = [{"float32_array": np.array([1.2, 2.78, 3.1234, 4.9871, 5.12341], dtype=np.float32),
"float64_array": np.array([48.1234556789, 49.3251241431, 50.13514312414, 51.8971298471,
123414314.2141243, 87.1212122], dtype=np.float64),
......@@ -1842,7 +1949,8 @@ def test_write_with_float32_float64_float32_array_float64_array_and_MindDataset(
np.array(data_value_to_list[num_iter][field], np.float32)).all()
elif item[field].dtype == np.float64:
assert math.isclose(item[field],
np.array(data_value_to_list[num_iter][field], np.float64), rel_tol=1e-14)
np.array(data_value_to_list[num_iter][field], np.float64),
rel_tol=1e-14)
else:
assert (item[field] ==
data_value_to_list[num_iter][field]).all()
......@@ -1850,45 +1958,43 @@ def test_write_with_float32_float64_float32_array_float64_array_and_MindDataset(
assert item[field] == data_value_to_list[num_iter][field]
num_iter += 1
assert num_iter == 5
except Exception as error:
os.remove("{}".format(mindrecord_file_name))
os.remove("{}.db".format(mindrecord_file_name))
raise error
else:
os.remove("{}".format(mindrecord_file_name))
os.remove("{}.db".format(mindrecord_file_name))
def test_numpy_generic():
paths = ["{}{}".format(CV_FILE_NAME, str(x).rjust(1, '0'))
for x in range(FILES_NUM)]
for x in paths:
if os.path.exists("{}".format(x)):
os.remove("{}".format(x))
if os.path.exists("{}.db".format(x)):
os.remove("{}.db".format(x))
writer = FileWriter(CV_FILE_NAME, FILES_NUM)
cv_schema_json = {"label1": {"type": "int32"}, "label2": {"type": "int64"},
"label3": {"type": "float32"}, "label4": {"type": "float64"}}
data = []
for idx in range(10):
row = {}
row['label1'] = np.int32(idx)
row['label2'] = np.int64(idx*10)
row['label3'] = np.float32(idx+0.12345)
row['label4'] = np.float64(idx+0.12345789)
data.append(row)
writer.add_schema(cv_schema_json, "img_schema")
writer.write_raw_data(data)
writer.commit()
num_readers = 4
data_set = ds.MindDataset(CV_FILE_NAME + "0", None, num_readers, shuffle=False)
assert data_set.get_dataset_size() == 10
idx = 0
for item in data_set.create_dict_iterator():
assert item['label1'] == item['label1']
assert item['label2'] == item['label2']
assert item['label3'] == item['label3']
assert item['label4'] == item['label4']
idx += 1
assert idx == 10
for x in paths:
os.remove("{}".format(x))
os.remove("{}.db".format(x))
if __name__ == '__main__':
test_nlp_compress_data(add_and_remove_nlp_compress_file)
test_nlp_compress_data_old_version(add_and_remove_nlp_compress_file)
test_cv_minddataset_writer_tutorial()
test_cv_minddataset_partition_tutorial(add_and_remove_cv_file)
test_cv_minddataset_partition_num_samples_0(add_and_remove_cv_file)
test_cv_minddataset_partition_num_samples_1(add_and_remove_cv_file)
test_cv_minddataset_partition_num_samples_2(add_and_remove_cv_file)
test_cv_minddataset_partition_tutorial_check_shuffle_result(add_and_remove_cv_file)
test_cv_minddataset_partition_tutorial_check_whole_reshuffle_result_per_epoch(add_and_remove_cv_file)
test_cv_minddataset_check_shuffle_result(add_and_remove_cv_file)
test_cv_minddataset_dataset_size(add_and_remove_cv_file)
test_cv_minddataset_repeat_reshuffle(add_and_remove_cv_file)
test_cv_minddataset_batch_size_larger_than_records(add_and_remove_cv_file)
test_cv_minddataset_issue_888(add_and_remove_cv_file)
test_cv_minddataset_blockreader_tutorial(add_and_remove_cv_file)
test_cv_minddataset_blockreader_some_field_not_in_index_tutorial(add_and_remove_cv_file)
test_cv_minddataset_reader_file_list(add_and_remove_cv_file)
test_cv_minddataset_reader_one_partition(add_and_remove_cv_file)
test_cv_minddataset_reader_two_dataset(add_and_remove_cv_file)
test_cv_minddataset_reader_two_dataset_partition(add_and_remove_cv_file)
test_cv_minddataset_reader_basic_tutorial(add_and_remove_cv_file)
test_nlp_minddataset_reader_basic_tutorial(add_and_remove_cv_file)
test_cv_minddataset_reader_basic_tutorial_5_epoch(add_and_remove_cv_file)
test_cv_minddataset_reader_basic_tutorial_5_epoch_with_batch(add_and_remove_cv_file)
test_cv_minddataset_reader_no_columns(add_and_remove_cv_file)
test_cv_minddataset_reader_repeat_tutorial(add_and_remove_cv_file)
test_write_with_multi_bytes_and_array_and_read_by_MindDataset()
test_write_with_multi_bytes_and_MindDataset()
test_write_with_multi_array_and_MindDataset()
test_numpy_generic()
test_write_with_float32_float64_float32_array_float64_array_and_MindDataset()
tests/ut/python/dataset/test_minddataset_exception.py
浏览文件 @ 06ed9ffd
......@@ -99,7 +99,12 @@ def test_invalid_mindrecord():
num_iter = 0
for _ in data_set.create_dict_iterator():
num_iter += 1
try:
assert num_iter == 0
except Exception as error:
os.remove('dummy.mindrecord')
raise error
else:
os.remove('dummy.mindrecord')
......@@ -113,7 +118,12 @@ def test_minddataset_lack_db():
num_iter = 0
for _ in data_set.create_dict_iterator():
num_iter += 1
try:
assert num_iter == 0
except Exception as error:
os.remove(CV_FILE_NAME)
raise error
else:
os.remove(CV_FILE_NAME)
......@@ -189,11 +199,17 @@ def test_minddataset_invalidate_num_shards():
num_iter = 0
for _ in data_set.create_dict_iterator():
num_iter += 1
try:
assert 'Input shard_id is not within the required interval of (0 to 0).' in str(error_info.value)
except Exception as error:
os.remove(CV_FILE_NAME)
os.remove("{}.db".format(CV_FILE_NAME))
raise error
else:
os.remove(CV_FILE_NAME)
os.remove("{}.db".format(CV_FILE_NAME))
def test_minddataset_invalidate_shard_id():
create_cv_mindrecord(1)
columns_list = ["data", "label"]
......@@ -203,7 +219,13 @@ def test_minddataset_invalidate_shard_id():
num_iter = 0
for _ in data_set.create_dict_iterator():
num_iter += 1
try:
assert 'Input shard_id is not within the required interval of (0 to 0).' in str(error_info.value)
except Exception as error:
os.remove(CV_FILE_NAME)
os.remove("{}.db".format(CV_FILE_NAME))
raise error
else:
os.remove(CV_FILE_NAME)
os.remove("{}.db".format(CV_FILE_NAME))
......@@ -217,17 +239,28 @@ def test_minddataset_shard_id_bigger_than_num_shard():
num_iter = 0
for _ in data_set.create_dict_iterator():
num_iter += 1
try:
assert 'Input shard_id is not within the required interval of (0 to 1).' in str(error_info.value)
except Exception as error:
os.remove(CV_FILE_NAME)
os.remove("{}.db".format(CV_FILE_NAME))
raise error
with pytest.raises(Exception) as error_info:
data_set = ds.MindDataset(CV_FILE_NAME, columns_list, num_readers, True, 2, 5)
num_iter = 0
for _ in data_set.create_dict_iterator():
num_iter += 1
try:
assert 'Input shard_id is not within the required interval of (0 to 1).' in str(error_info.value)
except Exception as error:
os.remove(CV_FILE_NAME)
os.remove("{}.db".format(CV_FILE_NAME))
raise error
else:
os.remove(CV_FILE_NAME)
os.remove("{}.db".format(CV_FILE_NAME))
def test_cv_minddataset_partition_num_samples_equals_0():
"""tutorial for cv minddataset."""
......@@ -245,7 +278,26 @@ def test_cv_minddataset_partition_num_samples_equals_0():
num_iter += 1
with pytest.raises(Exception) as error_info:
partitions(5)
try:
assert 'num_samples should be a positive integer value, but got num_samples=0' in str(error_info.value)
except Exception as error:
os.remove(CV_FILE_NAME)
os.remove("{}.db".format(CV_FILE_NAME))
raise error
else:
os.remove(CV_FILE_NAME)
os.remove("{}.db".format(CV_FILE_NAME))
if __name__ == '__main__':
test_cv_lack_json()
test_cv_lack_mindrecord()
test_invalid_mindrecord()
test_minddataset_lack_db()
test_cv_minddataset_pk_sample_error_class_column()
test_cv_minddataset_pk_sample_exclusive_shuffle()
test_cv_minddataset_reader_different_schema()
test_cv_minddataset_reader_different_page_size()
test_minddataset_invalidate_num_shards()
test_minddataset_invalidate_shard_id()
test_minddataset_shard_id_bigger_than_num_shard()
test_cv_minddataset_partition_num_samples_equals_0()
tests/ut/python/dataset/test_minddataset_multi_images_and_ndarray.py
浏览文件 @ 06ed9ffd
......@@ -27,6 +27,7 @@ CV_FILE_NAME = "./complex.mindrecord"
def test_cv_minddataset_reader_multi_image_and_ndarray_tutorial():
try:
writer = FileWriter(CV_FILE_NAME, FILES_NUM)
cv_schema_json = {"id": {"type": "int32"},
"image_0": {"type": "bytes"},
......@@ -73,8 +74,17 @@ def test_cv_minddataset_reader_multi_image_and_ndarray_tutorial():
assert item["segments"].dtype == np.float32
num_iter += 1
assert num_iter == 5
except Exception as error:
if os.path.exists("{}".format(CV_FILE_NAME + ".db")):
os.remove(CV_FILE_NAME + ".db")
if os.path.exists("{}".format(CV_FILE_NAME)):
os.remove(CV_FILE_NAME)
raise error
else:
if os.path.exists("{}".format(CV_FILE_NAME + ".db")):
os.remove(CV_FILE_NAME + ".db")
if os.path.exists("{}".format(CV_FILE_NAME)):
os.remove(CV_FILE_NAME)
if __name__ == '__main__':
test_cv_minddataset_reader_multi_image_and_ndarray_tutorial()
tests/ut/python/dataset/test_minddataset_padded.py
浏览文件 @ 06ed9ffd
......@@ -44,6 +44,7 @@ def add_and_remove_cv_file():
"""add/remove cv file"""
paths = ["{}{}".format(CV_FILE_NAME, str(x).rjust(1, '0'))
for x in range(FILES_NUM)]
try:
for x in paths:
os.remove("{}".format(x)) if os.path.exists("{}".format(x)) else None
os.remove("{}.db".format(x)) if os.path.exists(
......@@ -59,6 +60,12 @@ def add_and_remove_cv_file():
writer.write_raw_data(data)
writer.commit()
yield "yield_cv_data"
except Exception as error:
for x in paths:
os.remove("{}".format(x))
os.remove("{}.db".format(x))
raise error
else:
for x in paths:
os.remove("{}".format(x))
os.remove("{}.db".format(x))
......@@ -69,6 +76,7 @@ def add_and_remove_nlp_file():
"""add/remove nlp file"""
paths = ["{}{}".format(NLP_FILE_NAME, str(x).rjust(1, '0'))
for x in range(FILES_NUM)]
try:
for x in paths:
if os.path.exists("{}".format(x)):
os.remove("{}".format(x))
......@@ -92,6 +100,12 @@ def add_and_remove_nlp_file():
writer.write_raw_data(data)
writer.commit()
yield "yield_nlp_data"
except Exception as error:
for x in paths:
os.remove("{}".format(x))
os.remove("{}.db".format(x))
raise error
else:
for x in paths:
os.remove("{}".format(x))
os.remove("{}.db".format(x))
......@@ -636,3 +650,17 @@ def inputs(vectors, maxlen=50):
mask = [1] * length + [0] * (maxlen - length)
segment = [0] * maxlen
return input_, mask, segment
if __name__ == '__main__':
test_cv_minddataset_reader_basic_padded_samples(add_and_remove_cv_file)
test_cv_minddataset_partition_padded_samples(add_and_remove_cv_file)
test_cv_minddataset_partition_padded_samples_multi_epoch(add_and_remove_cv_file)
test_cv_minddataset_partition_padded_samples_no_dividsible(add_and_remove_cv_file)
test_cv_minddataset_partition_padded_samples_dataset_size_no_divisible(add_and_remove_cv_file)
test_cv_minddataset_partition_padded_samples_no_equal_column_list(add_and_remove_cv_file)
test_cv_minddataset_partition_padded_samples_no_column_list(add_and_remove_cv_file)
test_cv_minddataset_partition_padded_samples_no_num_padded(add_and_remove_cv_file)
test_cv_minddataset_partition_padded_samples_no_padded_samples(add_and_remove_cv_file)
test_nlp_minddataset_reader_basic_padded_samples(add_and_remove_nlp_file)
test_nlp_minddataset_reader_basic_padded_samples_multi_epoch(add_and_remove_nlp_file)
test_nlp_minddataset_reader_basic_padded_samples_check_whole_reshuffle_result_per_epoch(add_and_remove_nlp_file)
tests/ut/python/dataset/test_minddataset_sampler.py
浏览文件 @ 06ed9ffd
......@@ -34,6 +34,7 @@ def add_and_remove_cv_file():
"""add/remove cv file"""
paths = ["{}{}".format(CV_FILE_NAME, str(x).rjust(1, '0'))
for x in range(FILES_NUM)]
try:
for x in paths:
if os.path.exists("{}".format(x)):
os.remove("{}".format(x))
......@@ -50,10 +51,15 @@ def add_and_remove_cv_file():
writer.write_raw_data(data)
writer.commit()
yield "yield_cv_data"
except Exception as error:
for x in paths:
os.remove("{}".format(x))
os.remove("{}.db".format(x))
raise error
else:
for x in paths:
os.remove("{}".format(x))
os.remove("{}.db".format(x))
def test_cv_minddataset_pk_sample_no_column(add_and_remove_cv_file):
"""tutorial for cv minderdataset."""
......@@ -626,3 +632,24 @@ def get_data(dir_name, sampler=False):
except FileNotFoundError:
continue
return data_list
if __name__ == '__main__':
test_cv_minddataset_pk_sample_no_column(add_and_remove_cv_file)
test_cv_minddataset_pk_sample_basic(add_and_remove_cv_file)
test_cv_minddataset_pk_sample_shuffle(add_and_remove_cv_file)
test_cv_minddataset_pk_sample_out_of_range(add_and_remove_cv_file)
test_cv_minddataset_subset_random_sample_basic(add_and_remove_cv_file)
test_cv_minddataset_subset_random_sample_replica(add_and_remove_cv_file)
test_cv_minddataset_subset_random_sample_empty(add_and_remove_cv_file)
test_cv_minddataset_subset_random_sample_out_of_range(add_and_remove_cv_file)
test_cv_minddataset_subset_random_sample_negative(add_and_remove_cv_file)
test_cv_minddataset_random_sampler_basic(add_and_remove_cv_file)
test_cv_minddataset_random_sampler_repeat(add_and_remove_cv_file)
test_cv_minddataset_random_sampler_replacement(add_and_remove_cv_file)
test_cv_minddataset_sequential_sampler_basic(add_and_remove_cv_file)
test_cv_minddataset_sequential_sampler_exceed_size(add_and_remove_cv_file)
test_cv_minddataset_split_basic(add_and_remove_cv_file)
test_cv_minddataset_split_exact_percent(add_and_remove_cv_file)
test_cv_minddataset_split_fuzzy_percent(add_and_remove_cv_file)
test_cv_minddataset_split_deterministic(add_and_remove_cv_file)
test_cv_minddataset_split_sharding(add_and_remove_cv_file)
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