openvino/model-optimizer/unit_tests/extensions/middle/PoolV2ToAttributedPool_test.py

55 lines
2.5 KiB
Python

# Copyright (C) 2018-2021 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import unittest
from extensions.middle.PoolV2ToAttributedPool import PoolV2ToAttributedPool
from mo.utils.ir_engine.compare_graphs import compare_graphs
from mo.utils.shape import int64_array
from unit_tests.utils.graph import build_graph, valued_const_with_data, regular_op_with_empty_data, \
connect, shaped_const_with_data, result
class TestPoolV2ToAttributedPool(unittest.TestCase):
def test_pool_v2_to_attributed_pool(self):
nodes = {
**shaped_const_with_data('input', int64_array([200, 200])),
**valued_const_with_data('windows', int64_array([4, 4])),
**valued_const_with_data('strides', int64_array([4, 4])),
**regular_op_with_empty_data('pool_v2', {'op': 'PoolingV2',
'pad': [2, 2],
'spatial_dims': [1, 2],
'auto_pad': 'same_upper',
'output_spatial_shape': [2, 3],
'pad_spatial_shape': [1, 2],
'pool_method': 'max',
'permute_attrs': None}),
**regular_op_with_empty_data('pool_v1', {'type': 'Pooling',
'pad': [2, 2],
'spatial_dims': [1, 2],
'auto_pad': 'same_upper',
'output_spatial_shape': [2, 3],
'pad_spatial_shape': [1, 2],
'pool_method': 'max'}),
**result('output')
}
edges = [
*connect('input', 'pool_v2:0'),
*connect('windows', 'pool_v2:1'),
*connect('strides', 'pool_v2:2'),
*connect('pool_v2', 'output'),
]
graph = build_graph(nodes, edges, nodes_with_edges_only=True)
PoolV2ToAttributedPool().find_and_replace_pattern(graph)
ref_graph = build_graph(nodes, [*connect('input', 'pool_v1'), *connect('pool_v1', 'output')],
nodes_with_edges_only=True)
(flag, resp) = compare_graphs(graph, ref_graph, 'output')
self.assertTrue(flag, resp)