openvino/model-optimizer/unit_tests/extensions/front/AttributedPadToPad_test.py

81 lines
3.6 KiB
Python

# Copyright (C) 2018-2021 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import unittest
import numpy as np
from extensions.front.AttributedPadToPad import AttributedPadToPad
from mo.front.common.partial_infer.utils import int64_array
from mo.utils.ir_engine.compare_graphs import compare_graphs
from unit_tests.utils.graph import build_graph, const
nodes_attributes = {
'placeholder': {'shape': None, 'type': 'Parameter', 'kind': 'op', 'op': 'Parameter'},
'attr_pad': {'type': None, 'kind': 'op', 'op': 'AttributedPad', 'mode': 'constant', 'name': 'attr_pad',
'pads': int64_array([1, 2, 3, 4, 5, 6]).reshape([3, 2]), 'fill_value': 0.75},
'result': {'type': 'Result', 'value': None, 'kind': 'op', 'op': 'Result'},
# new Pad layer and inputs
'pad': {'type': 'Pad', 'kind': 'op', 'op': 'Pad', 'mode': 'constant'},
'convert_like': {'type': 'ConvertLike', 'kind': 'op', 'op': 'ConvertLike'},
**const('pad_begin', int64_array([1, 3, 5])),
**const('pad_end', int64_array([2, 4, 6])),
**const('pad_fill', np.array(0.75)),
}
class AttributedPadToPadTest(unittest.TestCase):
def test_mode_constant(self):
graph = build_graph(nodes_attributes,
[('placeholder', 'attr_pad', {'in': 0, 'out': 0}),
('attr_pad', 'result', {'in': 0, 'out': 0}),
],
{}, nodes_with_edges_only=True)
graph_ref = build_graph(nodes_attributes,
[('placeholder', 'pad', {'in': 0, 'out': 0}),
('pad_begin', 'pad', {'in': 1, 'out': 0}),
('pad_end', 'pad', {'in': 2, 'out': 0}),
('pad_fill', 'convert_like', {'in': 0, 'out': 0}),
('placeholder', 'convert_like', {'in': 1, 'out': 0}),
('convert_like', 'pad', {'in': 3, 'out': 0}),
('pad', 'result')
],
{}, nodes_with_edges_only=True)
graph.graph['layout'] = 'NCHW'
graph.stage = 'front'
replacer = AttributedPadToPad()
replacer.find_and_replace_pattern(graph)
(flag, resp) = compare_graphs(graph, graph_ref, 'result', check_op_attrs=True)
self.assertTrue(flag, resp)
self.assertTrue(graph.node[graph.get_nodes_with_attributes(op='Pad')[0]]['name'] == 'attr_pad')
def test_mode_non_constant(self):
graph = build_graph(nodes_attributes,
[('placeholder', 'attr_pad', {'in': 0, 'out': 0}),
('attr_pad', 'result', {'in': 0, 'out': 0}),
],
{'attr_pad': {'mode': 'reflect'}}, nodes_with_edges_only=True)
graph_ref = build_graph(nodes_attributes,
[('placeholder', 'pad', {'in': 0, 'out': 0}),
('pad_begin', 'pad', {'in': 1, 'out': 0}),
('pad_end', 'pad', {'in': 2, 'out': 0}),
('pad', 'result')
],
{'pad': {'mode': 'reflect'}}, nodes_with_edges_only=True)
graph.graph['layout'] = 'NCHW'
graph.stage = 'front'
replacer = AttributedPadToPad()
replacer.find_and_replace_pattern(graph)
(flag, resp) = compare_graphs(graph, graph_ref, 'result', check_op_attrs=True)
self.assertTrue(flag, resp)
self.assertTrue(graph.node[graph.get_nodes_with_attributes(op='Pad')[0]]['name'] == 'attr_pad')