openvino/model-optimizer/extensions/back/InterpolateReshape_test.py

98 lines
4.0 KiB
Python

"""
Copyright (C) 2018-2020 Intel Corporation
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
"""
import unittest
from argparse import Namespace
import numpy as np
from extensions.back.InterpolateReshape import InterpolateReshapeWA, InterpolateConcat
from mo.utils.ir_engine.compare_graphs import compare_graphs
from mo.utils.unittest.graph import build_graph, result, regular_op_with_shaped_data, valued_const_with_data, connect, \
connect_data
nodes = {
**regular_op_with_shaped_data('placeholder', [1, 3, 30, 40], {'type': 'Parameter'}),
**valued_const_with_data('out_shape', np.array([60, 160])),
**regular_op_with_shaped_data('interpolate', [1, 3, 60, 160], {'type': 'Interpolate', 'axes': [2, 3]}),
**regular_op_with_shaped_data('shape', [4], {'type': 'ShapeOf'}),
**valued_const_with_data('indices', np.array([2, 3])),
**valued_const_with_data('axis', np.array(0)),
**regular_op_with_shaped_data('gather', [2], {'type': 'Gather'}),
**valued_const_with_data('multiplier', np.array([2, 4])),
**regular_op_with_shaped_data('mul', [2], {'type': 'Multiply'}),
**regular_op_with_shaped_data('placeholder_1', [1, 3, 60, 160], {'type': 'Parameter'}),
**regular_op_with_shaped_data('concat', [1, 7, 60, 160], {'type': 'Concat', 'axis': 1}),
**result(),
}
class TestInterpolateReshapeWA(unittest.TestCase):
def test_interpolate_reshape_graph_comparison(self):
graph = build_graph(nodes, [
*connect('placeholder', '0:interpolate'),
*connect('out_shape', '1:interpolate'),
*connect('interpolate', 'output'),
], nodes_with_edges_only=True)
InterpolateReshapeWA().find_and_replace_pattern(graph)
graph.graph['cmd_params'] = Namespace(keep_shape_ops=True)
graph.clean_up()
graph_ref = build_graph(nodes, [
*connect('placeholder', '0:interpolate'),
*connect_data('placeholder', 'shape'),
*connect('shape', '0:gather'),
*connect('indices', '1:gather'),
*connect('axis', '2:gather'),
*connect('gather', '0:mul'),
*connect('multiplier', '1:mul'),
*connect('mul', '1:interpolate'),
*connect('interpolate', 'output'),
], nodes_with_edges_only=True)
(flag, resp) = compare_graphs(graph, graph_ref, 'output', check_op_attrs=True)
self.assertTrue(flag, resp)
class TestInterpolateConcat(unittest.TestCase):
def test_interpolate_concat_reshape_graph_comparison(self):
graph = build_graph(nodes, [
*connect('placeholder', '0:interpolate'),
*connect('out_shape', '1:interpolate'),
*connect('interpolate', '0:concat'),
*connect('placeholder_1', '1:concat'),
*connect('concat', 'output'),
], nodes_with_edges_only=True)
InterpolateConcat().find_and_replace_pattern(graph)
graph.graph['cmd_params'] = Namespace(keep_shape_ops=True)
graph.clean_up()
graph_ref = build_graph(nodes, [
*connect('placeholder', '0:interpolate'),
*connect('placeholder_1', 'shape'),
*connect('shape', '0:gather'),
*connect('indices', '1:gather'),
*connect('axis', '2:gather'),
*connect('gather', '1:interpolate'),
*connect('interpolate', '0:concat'),
*connect_data('placeholder_1', '1:concat'),
*connect('concat', 'output'),
], nodes_with_edges_only=True)
(flag, resp) = compare_graphs(graph, graph_ref, 'output', check_op_attrs=True)
self.assertTrue(flag, resp)