Evgenya Stepyreva
802d605bff
* [ MO ] KSO ON by default. Introduce static_shape MO key, remove keep_shape_ops key usages * keep_shape_ops -> static_shape * static_shape = False by default * Fix Proposal-4 shape infer * style-apply * Fix Layout Change for ShapeOf paths
97 lines
4.1 KiB
Python
97 lines
4.1 KiB
Python
"""
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Copyright (C) 2018-2020 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 argparse import Namespace
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import numpy as np
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from extensions.back.InterpolateReshape import InterpolateReshapeWA, InterpolateConcat
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from mo.utils.ir_engine.compare_graphs import compare_graphs
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from mo.utils.unittest.graph import build_graph, result, regular_op_with_shaped_data, valued_const_with_data, connect, \
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connect_data
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nodes = {
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**regular_op_with_shaped_data('placeholder', [1, 3, 30, 40], {'type': 'Parameter', 'op': 'Parameter'}),
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**valued_const_with_data('out_shape', np.array([60, 160])),
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**regular_op_with_shaped_data('interpolate', [1, 3, 60, 160], {'type': 'Interpolate', 'axes': [2, 3],
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'op': 'Interpolate'}),
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**regular_op_with_shaped_data('shape', [4], {'type': 'ShapeOf', 'op': 'ShapeOf'}),
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**valued_const_with_data('indices', np.array([2, 3])),
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**valued_const_with_data('axis', np.array(0)),
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**regular_op_with_shaped_data('gather', [2], {'type': 'Gather', 'op': 'Gather'}),
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**valued_const_with_data('multiplier', np.array([2, 4])),
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**regular_op_with_shaped_data('mul', [2], {'type': 'Multiply', 'op': 'Mul'}),
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**regular_op_with_shaped_data('placeholder_1', [1, 3, 60, 160], {'type': 'Parameter', 'op': 'Parameter'}),
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**regular_op_with_shaped_data('concat', [1, 7, 60, 160], {'type': 'Concat', 'axis': 1, 'op': 'Concat'}),
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**result(),
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}
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class TestInterpolateReshapeWA(unittest.TestCase):
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def test_interpolate_reshape_graph_comparison(self):
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graph = build_graph(nodes, [
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*connect('placeholder', '0:interpolate'),
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*connect('out_shape', '1:interpolate'),
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*connect('interpolate', 'output'),
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], nodes_with_edges_only=True)
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InterpolateReshapeWA().find_and_replace_pattern(graph)
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graph.clean_up()
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graph_ref = build_graph(nodes, [
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*connect('placeholder', '0:interpolate'),
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*connect_data('placeholder', 'shape'),
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*connect('shape', '0:gather'),
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*connect('indices', '1:gather'),
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*connect('axis', '2:gather'),
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*connect('gather', '0:mul'),
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*connect('multiplier', '1:mul'),
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*connect('mul', '1:interpolate'),
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*connect('interpolate', 'output'),
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], nodes_with_edges_only=True)
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(flag, resp) = compare_graphs(graph, graph_ref, 'output', check_op_attrs=True)
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self.assertTrue(flag, resp)
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class TestInterpolateConcat(unittest.TestCase):
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def test_interpolate_concat_reshape_graph_comparison(self):
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graph = build_graph(nodes, [
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*connect('placeholder', '0:interpolate'),
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*connect('out_shape', '1:interpolate'),
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*connect('interpolate', '0:concat'),
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*connect('placeholder_1', '1:concat'),
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*connect('concat', 'output'),
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], nodes_with_edges_only=True)
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InterpolateConcat().find_and_replace_pattern(graph)
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graph.clean_up()
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graph_ref = build_graph(nodes, [
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*connect('placeholder', '0:interpolate'),
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*connect('placeholder_1', 'shape'),
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*connect('shape', '0:gather'),
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*connect('indices', '1:gather'),
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*connect('axis', '2:gather'),
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*connect('gather', '1:interpolate'),
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*connect('interpolate', '0:concat'),
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*connect_data('placeholder_1', '1:concat'),
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*connect('concat', 'output'),
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], nodes_with_edges_only=True)
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(flag, resp) = compare_graphs(graph, graph_ref, 'output', check_op_attrs=True)
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self.assertTrue(flag, resp)
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