Pavel Esir
7eac2a1452
* [MO][TF] Add Tensorflow Pooling V2 * corrected extractor * applied review comments * remove empty line in PoolV2ToAttributedPool.py * MaxPool attributes extraction fix
67 lines
3.0 KiB
Python
67 lines
3.0 KiB
Python
"""
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Copyright (C) 2018-2021 Intel Corporation
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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"""
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import unittest
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from extensions.middle.PoolV2ToAttributedPool import PoolV2ToAttributedPool
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from mo.utils.ir_engine.compare_graphs import compare_graphs
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from mo.utils.shape import int64_array
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from mo.utils.unittest.graph import build_graph, valued_const_with_data, regular_op_with_empty_data, \
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connect, shaped_const_with_data, result
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class TestPoolV2ToAttributedPool(unittest.TestCase):
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def test_pool_v2_to_attributed_pool(self):
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nodes = {
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**shaped_const_with_data('input', int64_array([200, 200])),
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**valued_const_with_data('windows', int64_array([4, 4])),
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**valued_const_with_data('strides', int64_array([4, 4])),
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**regular_op_with_empty_data('pool_v2', {'op': 'PoolingV2',
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'pad': [2, 2],
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'spatial_dims': [1, 2],
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'auto_pad': 'same_upper',
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'output_spatial_shape': [2, 3],
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'pad_spatial_shape': [1, 2],
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'pool_method': 'max',
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'permute_attrs': None}),
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**regular_op_with_empty_data('pool_v1', {'type': 'Pooling',
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'pad': [2, 2],
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'spatial_dims': [1, 2],
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'auto_pad': 'same_upper',
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'output_spatial_shape': [2, 3],
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'pad_spatial_shape': [1, 2],
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'pool_method': 'max'}),
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**result('output')
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}
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edges = [
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*connect('input', 'pool_v2:0'),
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*connect('windows', 'pool_v2:1'),
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*connect('strides', 'pool_v2:2'),
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*connect('pool_v2', 'output'),
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]
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graph = build_graph(nodes, edges, nodes_with_edges_only=True)
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PoolV2ToAttributedPool().find_and_replace_pattern(graph)
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ref_graph = build_graph(nodes, [*connect('input', 'pool_v1'), *connect('pool_v1', 'output')],
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nodes_with_edges_only=True)
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(flag, resp) = compare_graphs(graph, ref_graph, 'output')
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self.assertTrue(flag, resp)
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