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openvino/model-optimizer/extensions/back/ClampNormalizer_test.py
Alexey Suhov 6478f1742a Align copyright notice in python scripts (CVS-51320) (#4974)
* Align copyright notice in python scripts (CVS-51320)
2021-03-26 17:54:28 +03:00

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Python

# Copyright (C) 2018-2021 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import unittest
import numpy as np
from extensions.back.ClampNormalizer import ClampNormalizer
from mo.utils.ir_engine.compare_graphs import compare_graphs
from mo.utils.unittest.graph import build_graph, regular_op_with_shaped_data, valued_const_with_data, result, connect
class AttributedClampNormalizerTests(unittest.TestCase):
def test_2_inputs(self):
nodes = {
**regular_op_with_shaped_data('placeholder', [1, 3, 20, 20], {'type': 'Parameter'}),
**regular_op_with_shaped_data('a_clamp', [1, 3, 20, 20], {'type': None, 'op': 'Clamp'}),
**regular_op_with_shaped_data('clamp', [1, 3, 20, 20],
{'type': 'Clamp', 'op': 'AttributedClamp', 'min': -3.5, 'max': 3.5}),
**valued_const_with_data('min', np.array(-3.5)),
**valued_const_with_data('max', np.array(3.5)),
**result('result'),
}
edges = [*connect('placeholder', '0:a_clamp'),
*connect('min', '1:a_clamp'),
*connect('max', '2:a_clamp'),
*connect('a_clamp', 'result'),
]
graph = build_graph(nodes, edges)
ClampNormalizer().find_and_replace_pattern(graph)
ref_graph = build_graph(nodes, [*connect('placeholder', '0:clamp'), *connect('clamp', 'result')])
(flag, resp) = compare_graphs(graph, ref_graph, 'result')
self.assertTrue(flag, resp)
def test_all_dynamic_inputs(self):
nodes = {
**regular_op_with_shaped_data('placeholder', [1, 3, 20, 20], {'type': 'Parameter'}),
**regular_op_with_shaped_data('min', [1, 3, 20, 20], {'type': 'Parameter'}),
**regular_op_with_shaped_data('max', [1, 3, 20, 20], {'type': 'Parameter'}),
**regular_op_with_shaped_data('a_clamp', [1, 3, 20, 20], {'type': None, 'op': 'Clamp'}),
**regular_op_with_shaped_data('maximum', [1, 3, 20, 20], {'type': 'Maximum', 'op': 'Maximum'}),
**regular_op_with_shaped_data('minimum', [1, 3, 20, 20], {'type': 'Minimum', 'op': 'Minimum'}),
**result('result'),
}
edges = [*connect('placeholder', '0:a_clamp'),
*connect('min', '1:a_clamp'),
*connect('max', '2:a_clamp'),
*connect('a_clamp', 'result'),
]
graph = build_graph(nodes, edges)
ClampNormalizer().find_and_replace_pattern(graph)
ref_graph = build_graph(nodes, [*connect('placeholder', '0:maximum'),
*connect('min', '1:maximum'),
*connect('maximum', '0:minimum'),
*connect('max', '1:minimum'),
*connect('minimum', 'result')
])
(flag, resp) = compare_graphs(graph, ref_graph, 'result')
self.assertTrue(flag, resp)
def test_no_max_input(self):
nodes = {
**regular_op_with_shaped_data('placeholder', [1, 3, 20, 20], {'type': 'Parameter'}),
**regular_op_with_shaped_data('a_clamp', [1, 3, 20, 20], {'type': None, 'op': 'Clamp'}),
**regular_op_with_shaped_data('maximum', [1, 3, 20, 20], {'type': 'Maximum', 'op': 'Maximum'}),
**valued_const_with_data('min', np.array(-3.5)),
**result('result'),
}
edges = [*connect('placeholder', '0:a_clamp'),
*connect('min', '1:a_clamp'),
*connect('a_clamp', 'result'),
]
graph = build_graph(nodes, edges)
ClampNormalizer().find_and_replace_pattern(graph)
ref_graph = build_graph(nodes, [*connect('placeholder', '0:maximum'),
*connect('min', '1:maximum'),
*connect('maximum', 'result')
])
(flag, resp) = compare_graphs(graph, ref_graph, 'result')
self.assertTrue(flag, resp)
def test_no_min_input(self):
nodes = {
**regular_op_with_shaped_data('placeholder', [1, 3, 20, 20], {'type': 'Parameter'}),
**regular_op_with_shaped_data('a_clamp', [1, 3, 20, 20], {'type': None, 'op': 'Clamp'}),
**regular_op_with_shaped_data('minimum', [1, 3, 20, 20], {'type': 'Minimum', 'op': 'Minimum'}),
**valued_const_with_data('max', np.array(3.5)),
**result('result'),
}
edges = [*connect('placeholder', '0:a_clamp'),
*connect('max', '2:a_clamp'),
*connect('a_clamp', 'result'),
]
graph = build_graph(nodes, edges)
ClampNormalizer().find_and_replace_pattern(graph)
ref_graph = build_graph(nodes, [*connect('placeholder', '0:minimum'),
*connect('max', '1:minimum'),
*connect('minimum', 'result')
])
(flag, resp) = compare_graphs(graph, ref_graph, 'result')
self.assertTrue(flag, resp)