45 lines
2.1 KiB
Python
45 lines
2.1 KiB
Python
"""
|
|
Copyright (C) 2018-2020 Intel Corporation
|
|
|
|
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.
|
|
"""
|
|
from mo.front.common.partial_infer.utils import int64_array
|
|
from mo.utils.broadcasting import bi_directional_broadcasting, bi_directional_shape_broadcasting, uni_directional_broadcasting, uni_directional_shape_broadcasting
|
|
from generator import generator, generate
|
|
import numpy as np
|
|
import unittest
|
|
|
|
|
|
@generator
|
|
class TestingBroadcasting(unittest.TestCase):
|
|
@generate(*[([], [20, 30, 10], [20, 30, 10]),
|
|
([1], [20, 30, 10], [20, 30, 10]),
|
|
([1, 1, 10], [20, 30, 10], [20, 30, 10]),
|
|
([20, 1, 10], [20, 30, 10], [20, 30, 10]),
|
|
([20, 30, 10], [20, 30, 10], [20, 30, 10]),
|
|
([20, 30, 10], [5, 7, 20, 30, 10], [5, 7, 20, 30, 10]),
|
|
([1, 2], [20, 3, 10, 2], [20, 3, 10, 2]),
|
|
([1, 1], [1], None),
|
|
([5, 10], [1, 10], None),
|
|
])
|
|
def test_uni_directional_broadcasting(self, input_shape, target_shape, expected_shape):
|
|
self.assertTrue(np.array_equal(uni_directional_shape_broadcasting(input_shape, target_shape), expected_shape))
|
|
|
|
input_value = np.array(np.random.rand(*input_shape))
|
|
if expected_shape is not None:
|
|
expected_value = np.broadcast_to(input_value, int64_array(target_shape))
|
|
self.assertTrue(np.array_equal(uni_directional_broadcasting(input_value, int64_array(target_shape)), expected_value))
|
|
else:
|
|
with self.assertRaisesRegex(Exception, '.*cannot be uni-directionally broadcasted.*'):
|
|
uni_directional_broadcasting(input_value, int64_array(target_shape))
|