def test_decimal_friendly_collate_input_has_decimals_in_tuple():
input_batch = ([Decimal('1.0'), 1], [Decimal('1.1'), 2])
desired = [(Decimal('1.0'), Decimal('1.1')), (1, 2)]
actual = decimal_friendly_collate(input_batch)
assert len(actual) == 2
assert desired[0] == actual[0]
np.testing.assert_equal(desired[1], actual[1].numpy())
def test_decimal_friendly_collate_input_has_decimals_in_dictionary():
desired = {
'decimal': [Decimal('1.0'), Decimal('1.1')],
'int': [1, 2]
}
input_batch = [
{'decimal': Decimal('1.0'), 'int': 1},
{'decimal': Decimal('1.1'), 'int': 2},
]
actual = decimal_friendly_collate(input_batch)
assert len(actual) == 2
assert desired['decimal'] == actual['decimal']
np.testing.assert_equal(desired['int'], actual['int'].numpy())
def collate_fn(batch_list: List[Dict]):
batch = decimal_friendly_collate(batch_list)
preprocessed_batch = batch_preprocessor(batch)
if use_gpu:
preprocessed_batch = preprocessed_batch.cuda()
return preprocessed_batch
def test_decimal_friendly_collate_empty_input():
assert decimal_friendly_collate([dict()]) == dict()
def collate_fn(batch_list: List[Dict]):
batch = decimal_friendly_collate(batch_list)
return batch_preprocessor(batch)