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from caffe2.python import core, workspace
from caffe2.python.test_util import TestCase
import numpy as np
lengths = [[0], [1, 2], [1, 0, 2, 0]]
features1 = [[],
[1, 2, 2],
[[1, 1], [2, 2], [2, 2]]
]
features2 = [[],
[2, 4, 4],
[[2, 2], [4, 4], [4, 4]]
]
lengths_exp = [[1], [1, 2], [1, 1, 2, 1]]
features1_exp = [[0],
[1, 2, 2],
[[1, 1], [0, 0], [2, 2], [2, 2], [0, 0]]]
features2_exp = [[0],
[2, 4, 4],
[[2, 2], [0, 0], [4, 4], [4, 4], [0, 0]]]
class TestEmptySampleOps(TestCase):
def test_emptysample(self):
for i in range(0, 3):
PadEmptyTest = core.CreateOperator(
'PadEmptySamples',
['lengths', 'features1', 'features2'],
['out_lengths', 'out_features1', 'out_features2'],
)
workspace.FeedBlob(
'lengths',
np.array(lengths[i], dtype=np.int32))
workspace.FeedBlob(
'features1',
np.array(features1[i], dtype=np.int64))
workspace.FeedBlob(
'features2',
np.array(features2[i], dtype=np.int64))
workspace.RunOperatorOnce(PadEmptyTest)
np.testing.assert_allclose(
lengths_exp[i],
workspace.FetchBlob('out_lengths'),
atol=1e-4, rtol=1e-4, err_msg='Mismatch in lengths')
np.testing.assert_allclose(
features1_exp[i],
workspace.FetchBlob('out_features1'),
atol=1e-4, rtol=1e-4, err_msg='Mismatch in features1')
np.testing.assert_allclose(
features2_exp[i],
workspace.FetchBlob('out_features2'),
atol=1e-4, rtol=1e-4, err_msg='Mismatch in features2')
if __name__ == "__main__":
import unittest
unittest.main()
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