Evgeny Lazarev
f3d1aa6490
* Removed test-generator from all MO requirement files except the dev one * Moved all MO unit tests files to a separate directory * Added __init__.py files to the tests directory. Fixed importing paths for some unit tests * Fixed imports in all unit tests. Moved all unit test related files from the MO code to the dedicated directory * Renamed directory with unit test utils * Updated imports in unit tests
532 lines
32 KiB
Python
532 lines
32 KiB
Python
# Copyright (C) 2018-2021 Intel Corporation
|
|
# SPDX-License-Identifier: Apache-2.0
|
|
|
|
import unittest
|
|
|
|
import numpy as np
|
|
|
|
from extensions.middle.EltwiseInputReshape import normalize_eltwise_inputs
|
|
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
|
|
|
|
# The dictionary with nodes attributes used to build various graphs. A key is the name of the node and the value is the
|
|
# dictionary with node attributes.
|
|
nodes_attributes = {
|
|
# Placeholder layers
|
|
'placeholder_1': {'value': None, 'shape': None, 'type': 'Parameter', 'kind': 'op', 'op': 'Parameter'},
|
|
'placeholder_2': {'value': None, 'shape': None, 'type': 'Parameter', 'kind': 'op', 'op': 'Parameter'},
|
|
'placeholder_3': {'value': None, 'shape': None, 'type': 'Parameter', 'kind': 'op', 'op': 'Parameter'},
|
|
'placeholder_1_data': {'value': None, 'shape': None, 'kind': 'data', 'data_type': None},
|
|
'placeholder_2_data': {'value': None, 'shape': None, 'kind': 'data', 'data_type': None},
|
|
'placeholder_3_data': {'value': None, 'shape': None, 'kind': 'data', 'data_type': None},
|
|
'placeholder_4_data': {'value': None, 'shape': None, 'kind': 'data', 'data_type': None},
|
|
|
|
# Reshape layers
|
|
'reshape_1': {'type': 'Unsqueeze', 'value': None, 'kind': 'op', 'op': 'Unsqueeze'},
|
|
'reshape_1_data': {'value': None, 'shape': None, 'kind': 'data'},
|
|
'reshape_1_const': {'type': 'Const', 'kind': 'op', 'op': 'Const', 'value': None},
|
|
'reshape_1_const_data': {'kind': 'data', 'value': None, 'shape': None},
|
|
|
|
'reshape_2': {'type': 'Unsqueeze', 'value': None, 'kind': 'op', 'op': 'Unsqueeze'},
|
|
'reshape_2_data': {'value': None, 'shape': None, 'kind': 'data'},
|
|
'reshape_2_const': {'type': 'Const', 'kind': 'op', 'op': 'Const', 'value': None},
|
|
'reshape_2_const_data': {'kind': 'data', 'value': None, 'shape': None},
|
|
|
|
# Eltwise consumes layers
|
|
'eltwise_1': {'kind': 'op', 'is_eltwise': True},
|
|
'eltwise_1_data': {'value': None, 'shape': None, 'kind': 'data'},
|
|
|
|
'eltwise_2': {'kind': 'op', 'is_eltwise': True},
|
|
'eltwise_2_data': {'value': None, 'shape': None, 'kind': 'data'},
|
|
|
|
'eltwise_3': {'kind': 'op', 'is_eltwise': True},
|
|
'eltwise_3_data': {'value': None, 'shape': None, 'kind': 'data'},
|
|
|
|
'eltwise_4': {'kind': 'op', 'is_eltwise': True},
|
|
'eltwise_4_data': {'value': None, 'shape': None, 'kind': 'data'},
|
|
|
|
# Concat
|
|
'concat': {'type': 'Concat', 'kind': 'op', 'op': 'Concat'},
|
|
}
|
|
|
|
|
|
class EltwiseInputNormalizationTest(unittest.TestCase):
|
|
def test1_not_constant(self):
|
|
#
|
|
# data1(1,3,64,64)----. data(1,3,64,64)-------.
|
|
# data2(1,64,1)-------->Eltwise-->data(1,3,64,64) => data(1,64,1)->Reshape->data(1,1,64,1)-->Eltwise->...
|
|
# data3(64,1)------' data(64,1)->Reshape->data(1,1,64,1)-'
|
|
#
|
|
graph = build_graph(nodes_attributes, [
|
|
('placeholder_1', 'placeholder_1_data'),
|
|
('placeholder_1', 'placeholder_2_data'),
|
|
('placeholder_1', 'placeholder_3_data'),
|
|
('placeholder_1_data', 'eltwise_1'),
|
|
('placeholder_2_data', 'eltwise_1'),
|
|
('placeholder_3_data', 'eltwise_1'),
|
|
('eltwise_1', 'eltwise_1_data')
|
|
],
|
|
{'placeholder_1_data': {'shape': np.array([1, 3, 64, 64])},
|
|
'placeholder_2_data': {'shape': np.array([1, 64, 1])},
|
|
'placeholder_3_data': {'shape': np.array([64, 1])},
|
|
'eltwise_1_data': {'shape': np.array([1, 3, 64, 64])}
|
|
}, nodes_with_edges_only=True)
|
|
|
|
graph_ref = build_graph(nodes_attributes,
|
|
[
|
|
('placeholder_1', 'placeholder_1_data'),
|
|
('placeholder_1', 'placeholder_2_data'),
|
|
('placeholder_1', 'placeholder_3_data'),
|
|
('placeholder_1_data', 'eltwise_1'),
|
|
('placeholder_2_data', 'reshape_1'),
|
|
('reshape_1_const', 'reshape_1_const_data'),
|
|
('reshape_1_const_data', 'reshape_1'),
|
|
('placeholder_3_data', 'reshape_2'),
|
|
('reshape_2_const', 'reshape_2_const_data'),
|
|
('reshape_2_const_data', 'reshape_2'),
|
|
('reshape_1', 'reshape_1_data'),
|
|
('reshape_2', 'reshape_2_data'),
|
|
('reshape_1_data', 'eltwise_1'),
|
|
('reshape_2_data', 'eltwise_1'),
|
|
('eltwise_1', 'eltwise_1_data')
|
|
],
|
|
{'placeholder_1_data': {'shape': np.array([1, 3, 64, 64])},
|
|
'reshape_1_const': {'value': int64_array([0]), 'shape': int64_array([1])},
|
|
'reshape_1_const_data': {'value': int64_array([0]),
|
|
'shape': int64_array([1])},
|
|
'reshape_1_data': {'shape': np.array([1, 1, 64, 1])},
|
|
'reshape_2_const': {'value': int64_array([0, 1]), 'shape': int64_array([2])},
|
|
'reshape_2_const_data': {'value': int64_array([0, 1]),
|
|
'shape': int64_array([2])},
|
|
'reshape_2_data': {'shape': np.array([1, 1, 64, 1])},
|
|
'eltwise_1_data': {'shape': np.array([1, 3, 64, 64])}
|
|
}, nodes_with_edges_only=True)
|
|
|
|
normalize_eltwise_inputs(graph)
|
|
|
|
(flag, resp) = compare_graphs(graph, graph_ref, 'eltwise_1', check_op_attrs=True)
|
|
self.assertTrue(flag, resp)
|
|
|
|
def test_mega_hardcore(self):
|
|
# ORIGINAL GRAPH
|
|
#
|
|
# data1(1,3,64,64)---,->Eltwise1->data(1,3,64,64)-----,->Eltwise2->data(1,3,64,64)---,->Eltwise4->data(1,3,64,64)
|
|
# /\ /\ /\
|
|
# data2(64,1)-----,-'--------------------------------'------------------------------'
|
|
# \/ /
|
|
# data3(64,1)----`-->Eltwise3->data(64,1)----------'
|
|
#
|
|
# REFERENCE GRAPH AFTER TRANSFORMATION
|
|
#
|
|
# data1(1,3,64,64)---------------------,->Eltwise1->data(1,3,64,64)-----,->Eltwise2->data(1,3,64,64)---,->Eltwise4->data(1,3,64,64)
|
|
# /\ /\ /\
|
|
# data2(64,1)-,- Reshape1(1,1,64,64)--'--------------------------------o-------------------------------'
|
|
# | |
|
|
# | Reshape(1,1,64,1)
|
|
# \/ |
|
|
# data3(64,1)----------->Eltwise3->data(64,1)--------------------------'
|
|
#
|
|
graph = build_graph(nodes_attributes,
|
|
[('placeholder_1', 'placeholder_1_data'),
|
|
('placeholder_2', 'placeholder_2_data'),
|
|
('placeholder_3', 'placeholder_3_data'),
|
|
('placeholder_1_data', 'eltwise_1'),
|
|
('placeholder_2_data', 'eltwise_1'),
|
|
('eltwise_1', 'eltwise_1_data'),
|
|
('eltwise_1_data', 'eltwise_2'),
|
|
('placeholder_2_data', 'eltwise_3'),
|
|
('placeholder_3_data', 'eltwise_3'),
|
|
('eltwise_3', 'eltwise_3_data'),
|
|
('eltwise_3_data', 'eltwise_2'),
|
|
('eltwise_2', 'eltwise_2_data'),
|
|
('eltwise_2_data', 'eltwise_4'),
|
|
('placeholder_2_data', 'eltwise_4'),
|
|
('eltwise_4', 'eltwise_4_data'),
|
|
],
|
|
{'placeholder_1_data': {'shape': np.array([1, 3, 64, 64])},
|
|
'placeholder_2_data': {'shape': np.array([64, 1]), 'value': np.ones([64, 1])},
|
|
'placeholder_3_data': {'shape': np.array([64, 1])},
|
|
'eltwise_1_data': {'shape': np.array([1, 3, 64, 64])},
|
|
'eltwise_2_data': {'shape': np.array([1, 3, 64, 64])},
|
|
'eltwise_3_data': {'shape': np.array([64, 1])},
|
|
'eltwise_4_data': {'shape': np.array([1, 3, 64, 64])}
|
|
}, nodes_with_edges_only=True)
|
|
|
|
graph_ref = build_graph(nodes_attributes,
|
|
[('placeholder_1', 'placeholder_1_data'),
|
|
('placeholder_2', 'placeholder_2_data'),
|
|
('placeholder_3', 'placeholder_3_data'),
|
|
('placeholder_1_data', 'eltwise_1'),
|
|
('placeholder_2_data', 'reshape_1'),
|
|
('reshape_1_const', 'reshape_1_const_data'),
|
|
('reshape_1_const_data', 'reshape_1'),
|
|
('reshape_1', 'reshape_1_data'),
|
|
('reshape_1_data', 'eltwise_1'),
|
|
('eltwise_1', 'eltwise_1_data'),
|
|
('eltwise_1_data', 'eltwise_2'),
|
|
('placeholder_2_data', 'eltwise_3'),
|
|
('placeholder_3_data', 'eltwise_3'),
|
|
('eltwise_3', 'eltwise_3_data'),
|
|
('eltwise_3_data', 'reshape_2'),
|
|
('reshape_2_const', 'reshape_2_const_data'),
|
|
('reshape_2_const_data', 'reshape_2'),
|
|
('reshape_2', 'reshape_2_data'),
|
|
('reshape_2_data', 'eltwise_2'),
|
|
('eltwise_2', 'eltwise_2_data'),
|
|
('eltwise_2_data', 'eltwise_4'),
|
|
('reshape_1_data', 'eltwise_4'),
|
|
('eltwise_4', 'eltwise_4_data'),
|
|
],
|
|
{'placeholder_1_data': {'shape': np.array([1, 3, 64, 64])},
|
|
'placeholder_2_data': {'shape': np.array([64, 1]),
|
|
'value': np.ones([64, 1])},
|
|
'placeholder_3_data': {'shape': np.array([64, 1])},
|
|
'reshape_1_const': {'value': int64_array([0, 1]), 'shape': int64_array([2])},
|
|
'reshape_1_const_data': {'value': int64_array([0, 1]),
|
|
'shape': int64_array([2])},
|
|
'reshape_1_data': {'shape': np.array([1, 1, 64, 1])},
|
|
|
|
'reshape_2_const': {'value': int64_array([0, 1]), 'shape': int64_array([2])},
|
|
'reshape_2_const_data': {'value': int64_array([0, 1]),
|
|
'shape': int64_array([2])},
|
|
'reshape_2_data': {'shape': np.array([1, 1, 64, 1])},
|
|
'eltwise_1_data': {'shape': np.array([1, 3, 64, 64])},
|
|
'eltwise_2_data': {'shape': np.array([1, 3, 64, 64])},
|
|
'eltwise_3_data': {'shape': np.array([64, 1])},
|
|
'eltwise_4_data': {'shape': np.array([1, 3, 64, 64])}
|
|
}, nodes_with_edges_only=True)
|
|
|
|
normalize_eltwise_inputs(graph)
|
|
|
|
(flag, resp) = compare_graphs(graph, graph_ref, 'eltwise_4', check_op_attrs=True)
|
|
self.assertTrue(flag, resp)
|
|
|
|
def test2_not_constant(self):
|
|
# ,-------------->consumer3 ,------------>consumer3
|
|
# data---(new_shape1)-->consumer1 => data---->Reshape-->consumer1
|
|
# `-(new_shape2)-->consumer2 `-->Reshape-->consumer2
|
|
#
|
|
graph = build_graph(nodes_attributes, [
|
|
('placeholder_1', 'placeholder_1_data'),
|
|
('placeholder_1_data', 'eltwise_1'),
|
|
('placeholder_1_data', 'eltwise_2'),
|
|
('placeholder_1_data', 'eltwise_3'),
|
|
('eltwise_1', 'eltwise_1_data'),
|
|
('eltwise_2', 'eltwise_2_data'),
|
|
('eltwise_3', 'eltwise_3_data'),
|
|
('eltwise_1_data', 'concat'),
|
|
('eltwise_2_data', 'concat'),
|
|
('eltwise_3_data', 'concat'),
|
|
],
|
|
{'placeholder_1_data': {'shape': int64_array([1, 3])},
|
|
'eltwise_1_data': {'shape': int64_array([1, 1, 1, 3])},
|
|
'eltwise_2_data': {'shape': int64_array([1, 1, 3])},
|
|
'eltwise_3_data': {'shape': int64_array([1, 3])},
|
|
},
|
|
nodes_with_edges_only=True)
|
|
|
|
graph_ref = build_graph(nodes_attributes,
|
|
[
|
|
('placeholder_1', 'placeholder_1_data'),
|
|
('placeholder_1_data', 'reshape_1'),
|
|
('reshape_1_const', 'reshape_1_const_data'),
|
|
('reshape_1_const_data', 'reshape_1'),
|
|
('placeholder_1_data', 'reshape_2'),
|
|
('reshape_2_const', 'reshape_2_const_data'),
|
|
('reshape_2_const_data', 'reshape_2'),
|
|
('placeholder_1_data', 'eltwise_3'),
|
|
('reshape_1', 'reshape_1_data'),
|
|
('reshape_2', 'reshape_2_data'),
|
|
('reshape_1_data', 'eltwise_1'),
|
|
('reshape_2_data', 'eltwise_2'),
|
|
('eltwise_1', 'eltwise_1_data'),
|
|
('eltwise_2', 'eltwise_2_data'),
|
|
('eltwise_3', 'eltwise_3_data'),
|
|
('eltwise_1_data', 'concat'),
|
|
('eltwise_2_data', 'concat'),
|
|
('eltwise_3_data', 'concat'),
|
|
],
|
|
{'placeholder_1_data': {'shape': int64_array([1, 3])},
|
|
'reshape_1_const': {'value': int64_array([0, 1]), 'shape': int64_array([2])},
|
|
'reshape_1_const_data': {'value': int64_array([0, 1]),
|
|
'shape': int64_array([2])},
|
|
'reshape_1_data': {'shape': int64_array([1, 1, 1, 3])},
|
|
'reshape_2_const': {'value': int64_array([0]), 'shape': int64_array([1])},
|
|
'reshape_2_const_data': {'value': int64_array([0]), 'shape': int64_array([1])},
|
|
'reshape_2_data': {'shape': int64_array([1, 1, 3])},
|
|
}, nodes_with_edges_only=True)
|
|
|
|
normalize_eltwise_inputs(graph)
|
|
|
|
(flag, resp) = compare_graphs(graph, graph_ref, 'concat', check_op_attrs=True)
|
|
self.assertTrue(flag, resp)
|
|
|
|
def test3_not_constant(self):
|
|
# ,--------------->consumer3 ,----------->consumer3
|
|
# data---(new_shape1)-->consumer1 => data-->Reshape-->consumer1
|
|
# `-(new_shape1)-->consumer2 `-->consumer2
|
|
#
|
|
graph = build_graph(nodes_attributes,
|
|
[
|
|
('placeholder_1', 'placeholder_1_data'),
|
|
('placeholder_1_data', 'eltwise_1'),
|
|
('placeholder_1_data', 'eltwise_2'),
|
|
('placeholder_1_data', 'eltwise_3'),
|
|
('eltwise_1', 'eltwise_1_data'),
|
|
('eltwise_2', 'eltwise_2_data'),
|
|
('eltwise_3', 'eltwise_3_data'),
|
|
('eltwise_1_data', 'concat'),
|
|
('eltwise_2_data', 'concat'),
|
|
('eltwise_3_data', 'concat'),
|
|
],
|
|
{'placeholder_1_data': {'shape': int64_array([1, 3])},
|
|
'eltwise_1_data': {'shape': int64_array([1, 1, 1, 3])},
|
|
'eltwise_2_data': {'shape': int64_array([1, 1, 1, 3])},
|
|
'eltwise_3_data': {'shape': int64_array([1, 3])},
|
|
},
|
|
nodes_with_edges_only=True)
|
|
|
|
graph_ref = build_graph(nodes_attributes,
|
|
[
|
|
('placeholder_1', 'placeholder_1_data'),
|
|
('placeholder_1_data', 'reshape_1'),
|
|
('reshape_1_const', 'reshape_1_const_data'),
|
|
('reshape_1_const_data', 'reshape_1'),
|
|
('placeholder_1_data', 'eltwise_3'),
|
|
('reshape_1', 'reshape_1_data'),
|
|
('reshape_1_data', 'eltwise_1'),
|
|
('reshape_1_data', 'eltwise_2'),
|
|
('eltwise_1', 'eltwise_1_data'),
|
|
('eltwise_2', 'eltwise_2_data'),
|
|
('eltwise_3', 'eltwise_3_data'),
|
|
('eltwise_1_data', 'concat'),
|
|
('eltwise_2_data', 'concat'),
|
|
('eltwise_3_data', 'concat'),
|
|
],
|
|
{'placeholder_1_data': {'shape': int64_array([1, 3])},
|
|
'reshape_1_const': {'value': int64_array([0, 1]), 'shape': int64_array([2])},
|
|
'reshape_1_const_data': {'value': int64_array([0, 1]),
|
|
'shape': int64_array([2])},
|
|
'reshape_1_data': {'shape': int64_array([1, 1, 1, 3])},
|
|
}, nodes_with_edges_only=True)
|
|
|
|
normalize_eltwise_inputs(graph)
|
|
|
|
(flag, resp) = compare_graphs(graph, graph_ref, 'concat', check_op_attrs=True)
|
|
self.assertTrue(flag, resp)
|
|
|
|
def test4_constant(self):
|
|
# ,--------------->consumer3 ,------------>consumer3
|
|
# data---(new_shape1)-->consumer1 => data--->reshape1-->consumer1
|
|
# `-(new_shape2)-->consumer2 `->reshape2-->consumer2
|
|
#
|
|
graph = build_graph(nodes_attributes,
|
|
[('placeholder_1', 'placeholder_1_data'),
|
|
('placeholder_1_data', 'eltwise_1'),
|
|
('placeholder_1_data', 'eltwise_2'),
|
|
('placeholder_1_data', 'eltwise_3'),
|
|
('eltwise_1', 'eltwise_1_data'),
|
|
('eltwise_2', 'eltwise_2_data'),
|
|
('eltwise_3', 'eltwise_3_data'),
|
|
('eltwise_1_data', 'concat'),
|
|
('eltwise_2_data', 'concat'),
|
|
('eltwise_3_data', 'concat'),
|
|
],
|
|
{'placeholder_1_data': {'shape': int64_array([1, 3]), 'value': np.ones([1, 3])},
|
|
'eltwise_1_data': {'shape': int64_array([1, 1, 1, 3])},
|
|
'eltwise_2_data': {'shape': int64_array([1, 1, 3])},
|
|
'eltwise_3_data': {'shape': int64_array([1, 3])},
|
|
},
|
|
nodes_with_edges_only=True)
|
|
|
|
graph_ref = build_graph(nodes_attributes,
|
|
[('placeholder_1', 'placeholder_1_data'),
|
|
('placeholder_1_data', 'reshape_1'),
|
|
('reshape_1_const', 'reshape_1_const_data'),
|
|
('reshape_1_const_data', 'reshape_1'),
|
|
('reshape_1', 'reshape_1_data'),
|
|
('reshape_1_data', 'eltwise_1'),
|
|
('placeholder_1_data', 'reshape_2'),
|
|
('reshape_2_const', 'reshape_2_const_data'),
|
|
('reshape_2_const_data', 'reshape_2'),
|
|
('reshape_2', 'reshape_2_data'),
|
|
('reshape_2_data', 'eltwise_2'),
|
|
('placeholder_1_data', 'eltwise_3'),
|
|
('eltwise_1', 'eltwise_1_data'),
|
|
('eltwise_2', 'eltwise_2_data'),
|
|
('eltwise_3', 'eltwise_3_data'),
|
|
('eltwise_1_data', 'concat'),
|
|
('eltwise_2_data', 'concat'),
|
|
('eltwise_3_data', 'concat'),
|
|
],
|
|
{'placeholder_1_data': {'shape': int64_array([1, 3]), 'value': np.ones([1, 3])},
|
|
'reshape_1_const': {'value': int64_array([0, 1]), 'shape': int64_array([2])},
|
|
'reshape_1_const_data': {'value': int64_array([0, 1]),
|
|
'shape': int64_array([2])},
|
|
'reshape_1_data': {'shape': int64_array([1, 1, 1, 3])},
|
|
|
|
'reshape_2_const': {'value': int64_array([0]), 'shape': int64_array([1])},
|
|
'reshape_2_const_data': {'value': int64_array([0]),
|
|
'shape': int64_array([1])},
|
|
'reshape_2_data': {'shape': int64_array([1, 1, 3])},
|
|
}, nodes_with_edges_only=True)
|
|
|
|
normalize_eltwise_inputs(graph)
|
|
|
|
(flag, resp) = compare_graphs(graph, graph_ref, 'concat', check_op_attrs=True)
|
|
self.assertTrue(flag, resp)
|
|
|
|
def test5_constant(self):
|
|
# ,-(new_shape)-->consumer3 ,-->consumer3
|
|
# data---(new_shape)-->consumer1 => data-->reshape---->consumer1
|
|
# `-(new_shape)-->consumer2 `-->consumer2
|
|
#
|
|
graph = build_graph(nodes_attributes,
|
|
[('placeholder_1', 'placeholder_1_data'),
|
|
('placeholder_1_data', 'eltwise_1'),
|
|
('placeholder_1_data', 'eltwise_2'),
|
|
('placeholder_1_data', 'eltwise_3'),
|
|
('eltwise_1', 'eltwise_1_data'),
|
|
('eltwise_2', 'eltwise_2_data'),
|
|
('eltwise_3', 'eltwise_3_data'),
|
|
('eltwise_1_data', 'concat'),
|
|
('eltwise_2_data', 'concat'),
|
|
('eltwise_3_data', 'concat'),
|
|
],
|
|
{'placeholder_1_data': {'shape': int64_array([1, 3]), 'value': np.ones([1, 3])},
|
|
'eltwise_1_data': {'shape': int64_array([1, 1, 3])},
|
|
'eltwise_2_data': {'shape': int64_array([1, 1, 3])},
|
|
'eltwise_3_data': {'shape': int64_array([1, 1, 3])},
|
|
},
|
|
nodes_with_edges_only=True)
|
|
|
|
graph_ref = build_graph(nodes_attributes,
|
|
[('placeholder_1', 'placeholder_1_data'),
|
|
('placeholder_1_data', 'reshape_1'),
|
|
('reshape_1_const', 'reshape_1_const_data'),
|
|
('reshape_1_const_data', 'reshape_1'),
|
|
('reshape_1', 'reshape_1_data'),
|
|
('reshape_1_data', 'eltwise_1'),
|
|
('reshape_1_data', 'eltwise_2'),
|
|
('reshape_1_data', 'eltwise_3'),
|
|
('eltwise_1', 'eltwise_1_data'),
|
|
('eltwise_2', 'eltwise_2_data'),
|
|
('eltwise_3', 'eltwise_3_data'),
|
|
('eltwise_1_data', 'concat'),
|
|
('eltwise_2_data', 'concat'),
|
|
('eltwise_3_data', 'concat'),
|
|
],
|
|
{'placeholder_1_data': {'shape': int64_array([1, 3]), 'value': np.ones([1, 3])},
|
|
'reshape_1_const': {'value': int64_array([0]), 'shape': int64_array([1])},
|
|
'reshape_1_const_data': {'value': int64_array([0]),
|
|
'shape': int64_array([1])},
|
|
'reshape_1_data': {'shape': int64_array([1, 1, 3])},
|
|
}, nodes_with_edges_only=True)
|
|
|
|
normalize_eltwise_inputs(graph)
|
|
|
|
(flag, resp) = compare_graphs(graph, graph_ref, 'concat', check_op_attrs=True)
|
|
self.assertTrue(flag, resp)
|
|
|
|
def test6_not_constant(self):
|
|
# ,--------------->consumer3 ,->consumer3
|
|
# data---(new_shape1)-->consumer1 => data----->consumer1
|
|
# `-(new_shape1)-->consumer2 `-->consumer2
|
|
#
|
|
graph = build_graph(nodes_attributes,
|
|
[('placeholder_1', 'placeholder_1_data'),
|
|
('placeholder_1_data', 'eltwise_1'),
|
|
('placeholder_1_data', 'eltwise_2'),
|
|
('placeholder_1_data', 'eltwise_3'),
|
|
('eltwise_1', 'eltwise_1_data'),
|
|
('eltwise_2', 'eltwise_2_data'),
|
|
('eltwise_3', 'eltwise_3_data'),
|
|
('eltwise_1_data', 'concat'),
|
|
('eltwise_2_data', 'concat'),
|
|
('eltwise_3_data', 'concat'),
|
|
],
|
|
{'placeholder_1_data': {'shape': int64_array([1, 3])},
|
|
'eltwise_1_data': {'shape': int64_array([1, 3])},
|
|
'eltwise_2_data': {'shape': int64_array([1, 3])},
|
|
'eltwise_3_data': {'shape': int64_array([1, 3])},
|
|
}, nodes_with_edges_only=True)
|
|
|
|
graph_ref = build_graph(nodes_attributes,
|
|
[('placeholder_1', 'placeholder_1_data'),
|
|
('placeholder_1_data', 'eltwise_1'),
|
|
('placeholder_1_data', 'eltwise_2'),
|
|
('placeholder_1_data', 'eltwise_3'),
|
|
('eltwise_1', 'eltwise_1_data'),
|
|
('eltwise_2', 'eltwise_2_data'),
|
|
('eltwise_3', 'eltwise_3_data'),
|
|
('eltwise_1_data', 'concat'),
|
|
('eltwise_2_data', 'concat'),
|
|
('eltwise_3_data', 'concat'),
|
|
],
|
|
{'placeholder_1_data': {'shape': int64_array([1, 3])}}, nodes_with_edges_only=True)
|
|
|
|
normalize_eltwise_inputs(graph)
|
|
|
|
(flag, resp) = compare_graphs(graph, graph_ref, 'concat', check_op_attrs=True)
|
|
self.assertTrue(flag, resp)
|
|
|
|
def test7_axis1_not_constant(self):
|
|
#
|
|
# data1(1,3,64,64)----. data(1,3,64,64)-------.
|
|
# data2(3,64,1)-------->Eltwise-->data(1,3,64,64)=> data(3,64,1)->Unsqueeze(0)->data(1,3,64,1)-->Eltwise->...
|
|
# data3(3,1)------' data(3,1)->Unsqueeze(2, 0)->data(1,3,1,1)-'
|
|
#
|
|
graph = build_graph(nodes_attributes, [
|
|
('placeholder_1', 'placeholder_1_data'),
|
|
('placeholder_2', 'placeholder_2_data'),
|
|
('placeholder_3', 'placeholder_3_data'),
|
|
('placeholder_1_data', 'eltwise_1'),
|
|
('placeholder_2_data', 'eltwise_1'),
|
|
('placeholder_3_data', 'eltwise_1'),
|
|
('eltwise_1', 'eltwise_1_data')
|
|
],
|
|
{'placeholder_1_data': {'shape': np.array([1, 3, 64, 64])},
|
|
'placeholder_2_data': {'shape': np.array([3, 64, 1])},
|
|
'placeholder_3_data': {'shape': np.array([3, 1])},
|
|
'eltwise_1_data': {'shape': np.array([1, 3, 64, 64])},
|
|
'eltwise_1' : {'axis': 1}
|
|
}, nodes_with_edges_only=True)
|
|
|
|
graph_ref = build_graph(nodes_attributes,
|
|
[
|
|
('placeholder_1', 'placeholder_1_data'),
|
|
('placeholder_2', 'placeholder_2_data'),
|
|
('placeholder_3', 'placeholder_3_data'),
|
|
('placeholder_1_data', 'eltwise_1'),
|
|
('placeholder_2_data', 'reshape_1'),
|
|
('reshape_1_const', 'reshape_1_const_data'),
|
|
('reshape_1_const_data', 'reshape_1'),
|
|
('placeholder_3_data', 'reshape_2'),
|
|
('reshape_2_const', 'reshape_2_const_data'),
|
|
('reshape_2_const_data', 'reshape_2'),
|
|
('reshape_1', 'reshape_1_data'),
|
|
('reshape_2', 'reshape_2_data'),
|
|
('reshape_1_data', 'eltwise_1'),
|
|
('reshape_2_data', 'eltwise_1'),
|
|
('eltwise_1', 'eltwise_1_data')
|
|
],
|
|
{'placeholder_1_data': {'shape': np.array([1, 3, 64, 64])},
|
|
'placeholder_2_data': {'shape': np.array([3, 64, 1])},
|
|
'placeholder_3_data': {'shape': np.array([3, 1])},
|
|
'reshape_1_const': {'value': int64_array([0]), 'shape': int64_array([1])},
|
|
'reshape_1_const_data': {'value': int64_array([0]),
|
|
'shape': int64_array([1])},
|
|
'reshape_1_data': {'shape': np.array([1, 3, 64, 1])},
|
|
'reshape_2_const': {'value': int64_array([2, 0]), 'shape': int64_array([2])},
|
|
'reshape_2_const_data': {'value': int64_array([2, 0]),
|
|
'shape': int64_array([2])},
|
|
'reshape_2_data': {'shape': np.array([1, 3, 1, 1])},
|
|
'eltwise_1_data': {'shape': np.array([1, 3, 64, 64])}
|
|
}, nodes_with_edges_only=True)
|
|
|
|
normalize_eltwise_inputs(graph)
|
|
|
|
(flag, resp) = compare_graphs(graph, graph_ref, 'eltwise_1', check_op_attrs=True)
|
|
self.assertTrue(flag, resp)
|