Roman Kazantsev
e3b879ad3b
* Provide GatherND with original layout for inputs and output Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com> * Fix code review #1 Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
140 lines
7.6 KiB
Python
140 lines
7.6 KiB
Python
"""
|
|
Copyright (C) 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
|
|
|
|
import numpy as np
|
|
|
|
from extensions.back.LayoutChangeForGatherND import LayoutChangeForGatherND
|
|
from mo.front.common.partial_infer.utils import int64_array
|
|
from mo.utils.ir_engine.compare_graphs import compare_graphs
|
|
from mo.utils.unittest.graph import build_graph
|
|
|
|
nodes_attributes = {
|
|
'placeholder_1': {'shape': None, 'type': 'Parameter', 'kind': 'op', 'op': 'Parameter'},
|
|
'placeholder_1_data': {'value': None, 'shape': None, 'kind': 'data', 'data_type': None},
|
|
'placeholder_2': {'shape': None, 'type': 'Parameter', 'kind': 'op', 'op': 'Parameter'},
|
|
'placeholder_2_data': {'value': None, 'shape': None, 'kind': 'data', 'data_type': None},
|
|
# GatherND
|
|
'gathernd': {'type': 'GatherND', 'kind': 'op', 'op': 'GatherND'},
|
|
'gathernd_data': {'value': None, 'shape': None, 'kind': 'data'},
|
|
# Result layer
|
|
'result': {'type': 'Result', 'kind': 'op', 'op': 'Result'},
|
|
# Transpose layers
|
|
'transpose_1': {'type': 'Transpose', 'kind': 'op', 'op': 'Transpose', 'need_shape_inference': True},
|
|
'transpose_1_data': {'value': None, 'shape': None, 'kind': 'data'},
|
|
'axis_1_const': {'type': 'Const', 'kind': 'op', 'op': 'Const', 'value': None},
|
|
'axis_1_const_data': {'kind': 'data', 'value': None, 'shape': None},
|
|
'transpose_2': {'type': 'Transpose', 'kind': 'op', 'op': 'Transpose', 'need_shape_inference': True},
|
|
'transpose_2_data': {'value': None, 'shape': None, 'kind': 'data'},
|
|
'axis_2_const': {'type': 'Const', 'kind': 'op', 'op': 'Const', 'value': None},
|
|
'axis_2_const_data': {'kind': 'data', 'value': None, 'shape': None},
|
|
'transpose_3': {'type': 'Transpose', 'kind': 'op', 'op': 'Transpose', 'need_shape_inference': True},
|
|
'transpose_3_data': {'value': None, 'shape': None, 'kind': 'data'},
|
|
'axis_3_const': {'type': 'Const', 'kind': 'op', 'op': 'Const', 'value': None},
|
|
'axis_3_const_data': {'kind': 'data', 'value': None, 'shape': None},
|
|
}
|
|
|
|
|
|
class LayoutChangeForGatherNDTests(unittest.TestCase):
|
|
def test_tf_all_ports(self):
|
|
graph = build_graph(nodes_attributes,
|
|
[('placeholder_1', 'placeholder_1_data'),
|
|
('placeholder_2', 'placeholder_2_data'),
|
|
('placeholder_1_data', 'gathernd'),
|
|
('placeholder_2_data', 'gathernd'),
|
|
('gathernd', 'gathernd_data'),
|
|
('gathernd_data', 'result'),
|
|
],
|
|
{'placeholder_1_data': {'shape': np.array([1, 3, 224, 224])},
|
|
'placeholder_2_data': {'shape': np.array([1, 3, 224, 224])},
|
|
'gathernd_data': {'shape': np.array([1, 3, 224, 224])},
|
|
})
|
|
graph.graph['fw'] = 'tf'
|
|
|
|
graph_ref = build_graph(nodes_attributes,
|
|
[('placeholder_1', 'placeholder_1_data'),
|
|
('placeholder_2', 'placeholder_2_data'),
|
|
('placeholder_1_data', 'transpose_1'),
|
|
('axis_1_const', 'axis_1_const_data'),
|
|
('axis_1_const_data', 'transpose_1'),
|
|
('transpose_1', 'transpose_1_data'),
|
|
('placeholder_2_data', 'transpose_2'),
|
|
('axis_2_const', 'axis_2_const_data'),
|
|
('axis_2_const_data', 'transpose_2'),
|
|
('transpose_2', 'transpose_2_data'),
|
|
('transpose_1_data', 'gathernd'),
|
|
('transpose_2_data', 'gathernd'),
|
|
('gathernd', 'gathernd_data'),
|
|
('gathernd_data', 'transpose_3'),
|
|
('axis_3_const', 'axis_3_const_data'),
|
|
('axis_3_const_data', 'transpose_3'),
|
|
('transpose_3', 'transpose_3_data'),
|
|
('transpose_3_data', 'result'),
|
|
],
|
|
{'placeholder_1_data': {'shape': np.array([1, 3, 224, 224])},
|
|
'placeholder_2_data': {'shape': np.array([1, 3, 224, 224])},
|
|
'axis_1_const_data': {'value': int64_array([0, 2, 3, 1])},
|
|
'axis_2_const_data': {'value': int64_array([0, 2, 3, 1])},
|
|
'gathernd_data': {'shape': np.array([1, 3, 224, 224])},
|
|
'axis_3_const_data': {'value': int64_array([0, 3, 1, 2])},
|
|
})
|
|
|
|
pattern = LayoutChangeForGatherND()
|
|
pattern.find_and_replace_pattern(graph)
|
|
|
|
(flag, resp) = compare_graphs(graph, graph_ref, 'result', check_op_attrs=True)
|
|
self.assertTrue(flag, resp)
|
|
|
|
def test_tf_one_ports(self):
|
|
graph = build_graph(nodes_attributes,
|
|
[('placeholder_1', 'placeholder_1_data'),
|
|
('placeholder_2', 'placeholder_2_data'),
|
|
('placeholder_1_data', 'gathernd'),
|
|
('placeholder_2_data', 'gathernd'),
|
|
('gathernd', 'gathernd_data'),
|
|
('gathernd_data', 'result'),
|
|
],
|
|
{'placeholder_1_data': {'shape': np.array([1, 3, 224, 224])},
|
|
'placeholder_2_data': {'shape': np.array([1, 3])},
|
|
'gathernd_data': {'shape': np.array([1, 3])},
|
|
})
|
|
graph.graph['fw'] = 'tf'
|
|
|
|
graph_ref = build_graph(nodes_attributes,
|
|
[('placeholder_1', 'placeholder_1_data'),
|
|
('placeholder_2', 'placeholder_2_data'),
|
|
('placeholder_1_data', 'transpose_1'),
|
|
('axis_1_const', 'axis_1_const_data'),
|
|
('axis_1_const_data', 'transpose_1'),
|
|
('transpose_1', 'transpose_1_data'),
|
|
('transpose_1_data', 'gathernd'),
|
|
('placeholder_2_data', 'gathernd'),
|
|
('gathernd', 'gathernd_data'),
|
|
('gathernd_data', 'result'),
|
|
],
|
|
{'placeholder_1_data': {'shape': np.array([1, 3, 224, 224])},
|
|
'placeholder_2_data': {'shape': np.array([1, 3])},
|
|
'axis_1_const_data': {'value': int64_array([0, 2, 3, 1])},
|
|
'gathernd_data': {'shape': np.array([1, 3])}
|
|
})
|
|
|
|
pattern = LayoutChangeForGatherND()
|
|
pattern.find_and_replace_pattern(graph)
|
|
|
|
(flag, resp) = compare_graphs(graph, graph_ref, 'result', check_op_attrs=True)
|
|
self.assertTrue(flag, resp)
|