35 lines
1.6 KiB
Python
35 lines
1.6 KiB
Python
# Copyright (C) 2018-2021 Intel Corporation
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# SPDX-License-Identifier: Apache-2.0
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import unittest
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import numpy as np
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from generator import generator, generate
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from mo.front.common.partial_infer.utils import int64_array
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from mo.utils.broadcasting import uni_directional_broadcasting, uni_directional_shape_broadcasting
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@generator
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class TestingBroadcasting(unittest.TestCase):
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@generate(*[([], [20, 30, 10], [20, 30, 10]),
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([1], [20, 30, 10], [20, 30, 10]),
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([1, 1, 10], [20, 30, 10], [20, 30, 10]),
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([20, 1, 10], [20, 30, 10], [20, 30, 10]),
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([20, 30, 10], [20, 30, 10], [20, 30, 10]),
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([20, 30, 10], [5, 7, 20, 30, 10], [5, 7, 20, 30, 10]),
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([1, 2], [20, 3, 10, 2], [20, 3, 10, 2]),
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([1, 1], [1], None),
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([5, 10], [1, 10], None),
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])
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def test_uni_directional_broadcasting(self, input_shape, target_shape, expected_shape):
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self.assertTrue(np.array_equal(uni_directional_shape_broadcasting(input_shape, target_shape), expected_shape))
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input_value = np.array(np.random.rand(*input_shape))
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if expected_shape is not None:
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expected_value = np.broadcast_to(input_value, int64_array(target_shape))
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self.assertTrue(np.array_equal(uni_directional_broadcasting(input_value, int64_array(target_shape)), expected_value))
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else:
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with self.assertRaisesRegex(Exception, '.*cannot be uni-directionally broadcasted.*'):
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uni_directional_broadcasting(input_value, int64_array(target_shape))
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