244 lines
10 KiB
Python
244 lines
10 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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import numpy as np
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from extensions.middle.CutInputHavingZeroDimFromConcat import CutInputHavingZeroDimFromConcat
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from mo.front.common.partial_infer.utils import int64_array
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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
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node_attrs_for_the_case_when_there_are_no_zero_shape_constants = {
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'const0': {
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'kind': 'op',
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'type': 'Const',
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'op': 'Const',
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'shape': int64_array([1, 2, 5]),
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'value': np.zeros((1, 2, 5))
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},
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'const0_data': {'kind': 'data', 'shape': int64_array([1, 2, 5]), 'value': None},
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'const1': {
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'kind': 'op',
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'type': 'Const',
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'op': 'Const',
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'shape': int64_array([1, 2, 7]),
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'value': np.zeros((1, 2, 7))
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},
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'const1_data': {'kind': 'data', 'shape': int64_array([1, 2, 7]), 'value': None},
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'placeholder': {'kind': 'op', 'type': 'Parameter', 'op': 'Parameter'},
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'placeholder_data': {
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'kind': 'data',
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'value': None,
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'shape': int64_array([1, 2, 8]),
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'data_type': None
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},
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'concat': {'kind': 'op', 'type': 'Concat', 'op': 'Concat', 'axis': 2},
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'concat_data': {'kind': 'data', 'shape': int64_array([1, 2, 20]), 'value': None},
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'output': {'kind': 'op', 'op': 'Result', 'type': 'Result'},
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}
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edges_for_the_case_when_there_are_no_zero_shape_constants = [
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('const0', 'const0_data'),
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('const1', 'const1_data'),
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('placeholder', 'placeholder_data'),
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('const0_data', 'concat', {'in': 0}),
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('const1_data', 'concat', {'in': 1}),
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('placeholder_data', 'concat', {'in': 2}),
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('concat', 'concat_data'),
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('concat_data', 'output')
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]
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class CutInputHavingZeroDimFromConcatTest(unittest.TestCase):
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"""
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This class tests deleting of inputs of Concat having zeros in their shapes, if not all inputs have such shapes.
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"""
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def test_when_need_to_do_nothing(self):
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graph = build_graph(
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nodes_attrs=node_attrs_for_the_case_when_there_are_no_zero_shape_constants,
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edges=edges_for_the_case_when_there_are_no_zero_shape_constants
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)
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ref_graph = build_graph(
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nodes_attrs=node_attrs_for_the_case_when_there_are_no_zero_shape_constants,
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edges=edges_for_the_case_when_there_are_no_zero_shape_constants
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)
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CutInputHavingZeroDimFromConcat().find_and_replace_pattern(graph)
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(flag, resp) = compare_graphs(graph, ref_graph, 'output')
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self.assertTrue(flag, resp)
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def test_when_there_are_three_inputs_and_middle_constant_has_zero_in_shape(self):
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graph = build_graph(
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nodes_attrs={
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'const0': {
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'kind': 'op',
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'type': 'Const',
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'op': 'Const',
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'shape': int64_array([1, 2, 5]),
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'value': np.zeros((1, 2, 5))
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},
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'const0_data': {'kind': 'data', 'shape': int64_array([1, 2, 5]), 'value': None},
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'const1': {
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'kind': 'op',
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'type': 'Const',
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'op': 'Const',
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'shape': int64_array([1, 2, 0]),
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'value': np.zeros((1, 2, 0))
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},
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'const1_data': {'kind': 'data', 'shape': int64_array([1, 2, 0]), 'value': None},
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'placeholder': {'kind': 'op', 'type': 'Parameter', 'op': 'Parameter'},
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'placeholder_data': {
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'kind': 'data',
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'value': None,
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'shape': int64_array([1, 2, 17]),
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'data_type': None
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},
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'concat': {'kind': 'op', 'type': 'Concat', 'op': 'Concat', 'axis': 2},
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'concat_data': {'kind': 'data', 'shape': int64_array([1, 2, 22]), 'value': None},
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'output': {'kind': 'op', 'op': 'Result', 'type': 'Result'},
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},
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edges=[
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('const0', 'const0_data'),
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('const1', 'const1_data'),
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('placeholder', 'placeholder_data'),
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('const0_data', 'concat', {'in': 0}),
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('const1_data', 'concat', {'in': 1}),
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('placeholder_data', 'concat', {'in': 2}),
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('concat', 'concat_data'),
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('concat_data', 'output')
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]
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)
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ref_graph = build_graph(
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nodes_attrs={
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'const0': {
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'kind': 'op',
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'type': 'Const',
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'op': 'Const',
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'shape': int64_array([1, 2, 5]),
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'value': np.zeros((1, 2, 5))
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},
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'const0_data': {'kind': 'data', 'shape': int64_array([1, 2, 5]), 'value': None},
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'placeholder': {'kind': 'op', 'type': 'Parameter', 'op': 'Parameter'},
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'placeholder_data': {
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'kind': 'data',
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'value': None,
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'shape': int64_array([1, 2, 17]),
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'data_type': None
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},
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'concat': {'kind': 'op', 'type': 'Concat', 'op': 'Concat', 'axis': 2},
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'concat_data': {'kind': 'data', 'shape': int64_array([1, 2, 22]), 'value': None},
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'output': {'kind': 'op', 'op': 'Result', 'type': 'Result'},
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},
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edges=[
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('const0', 'const0_data'),
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('placeholder', 'placeholder_data'),
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('const0_data', 'concat', {'in': 0}),
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('placeholder_data', 'concat', {'in': 1}),
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('concat', 'concat_data'),
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('concat_data', 'output')
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]
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)
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CutInputHavingZeroDimFromConcat().find_and_replace_pattern(graph)
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(flag, resp) = compare_graphs(graph, ref_graph, 'output')
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self.assertTrue(flag, resp)
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def test_there_are_four_inputs_and_first_and_third_input_have_zero_in_their_shapes(self):
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graph = build_graph(
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nodes_attrs={
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'const0': {
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'kind': 'op',
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'type': 'Const',
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'op': 'Const',
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'shape': int64_array([5, 0]),
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'value': np.zeros((5, 0))
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},
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'const0_data': {'kind': 'data', 'shape': int64_array([5, 0]), 'value': None},
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'placeholder': {'kind': 'op', 'type': 'Parameter', 'op': 'Parameter'},
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'placeholder_data': {
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'kind': 'data',
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'value': None,
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'shape': int64_array([5, 17]),
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'data_type': None
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},
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'const2': {
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'kind': 'op',
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'type': 'Const',
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'op': 'Const',
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'shape': int64_array([5, 0]),
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'value': np.zeros((5, 0))
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},
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'const2_data': {'kind': 'data', 'shape': int64_array([5, 0]), 'value': None},
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'const3': {
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'kind': 'op',
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'type': 'Const',
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'op': 'Const',
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'shape': int64_array([5, 23]),
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'value': np.zeros((5, 23))
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},
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'const3_data': {'kind': 'data', 'shape': int64_array([5, 23]), 'value': None},
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'concat': {'kind': 'op', 'type': 'Concat', 'op': 'Concat', 'axis': 1},
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'concat_data': {'kind': 'data', 'shape': int64_array([5, 40]), 'value': None},
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'output': {'kind': 'op', 'op': 'Result', 'type': 'Result'},
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},
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edges=[
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('const0', 'const0_data'),
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('placeholder', 'placeholder_data'),
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('const2', 'const2_data'),
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('const3', 'const3_data'),
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('const0_data', 'concat', {'in': 0}),
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('placeholder_data', 'concat', {'in': 1}),
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('const2_data', 'concat', {'in': 2}),
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('const3_data', 'concat', {'in': 3}),
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('concat', 'concat_data'),
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('concat_data', 'output')
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]
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)
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ref_graph = build_graph(
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nodes_attrs={
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'placeholder': {'kind': 'op', 'type': 'Parameter', 'op': 'Parameter'},
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'placeholder_data': {
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'kind': 'data',
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'value': None,
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'shape': int64_array([5, 17]),
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'data_type': None
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},
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'const3': {
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'kind': 'op',
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'type': 'Const',
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'op': 'Const',
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'shape': int64_array([5, 23]),
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'value': np.zeros((5, 23))
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},
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'const3_data': {'kind': 'data', 'shape': int64_array([5, 23]), 'value': None},
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'concat': {'kind': 'op', 'type': 'Concat', 'op': 'Concat', 'axis': 1},
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'concat_data': {'kind': 'data', 'shape': int64_array([5, 40]), 'value': None},
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'output': {'kind': 'op', 'op': 'Result', 'type': 'Result'},
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},
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edges=[
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('placeholder', 'placeholder_data'),
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('const3', 'const3_data'),
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('placeholder_data', 'concat', {'in': 0}),
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('const3_data', 'concat', {'in': 1}),
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('concat', 'concat_data'),
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('concat_data', 'output')
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]
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)
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CutInputHavingZeroDimFromConcat().find_and_replace_pattern(graph)
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(flag, resp) = compare_graphs(graph, ref_graph, 'output')
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self.assertTrue(flag, resp)
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