413 lines
17 KiB
Python
413 lines
17 KiB
Python
"""
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Copyright (c) 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.front.tf.SplitConcatPairToInterpolate import SplitConcatPairToInterpolate
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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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graph_node_attrs_for_2d_spatial_case = {
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'placeholder': {'type': 'Parameter', 'kind': 'op', 'op': 'Parameter'},
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'placeholder_data': {
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'value': None,
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'shape': int64_array([1, 100, 120, 150]),
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'kind': 'data',
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'data_type': None
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},
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'split': {'type': 'Split', 'kind': 'op', 'op': 'Split', 'num_splits': 3},
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'split_axis_const': {
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'kind': 'op',
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'value': np.array(3, dtype=np.int64),
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'op': 'Const',
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'type': 'Const'
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},
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'split_axis_const_data': {'value': None, 'shape': np.array(3, dtype=np.int64).shape, 'kind': 'data'},
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'concat': {'type': 'Concat', 'kind': 'op', 'axis': 3},
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'split_data_0': {'value': None, 'shape': int64_array([1, 100, 120, 50]), 'kind': 'data'},
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'split_data_1': {'value': None, 'shape': int64_array([1, 100, 120, 50]), 'kind': 'data'},
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'split_data_2': {'value': None, 'shape': int64_array([1, 100, 120, 50]), 'kind': 'data'},
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'concat_data': {'value': None, 'shape': int64_array([1, 100, 120, 300]), 'kind': 'data'},
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'abs': {'type': 'Abs', 'kind': 'op', 'op': 'Abs'},
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'abs_data': {'value': None, 'shape': int64_array([1, 100, 120, 300]), 'kind': 'data'},
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'output': {'kind': 'op', 'op': 'Result'},
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}
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graph_node_attrs_for_3d_spatial_case = {
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'placeholder': {'type': 'Parameter', 'kind': 'op', 'op': 'Parameter'},
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'placeholder_data': {
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'value': None,
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'shape': int64_array([1, 3, 100, 120, 150]),
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'kind': 'data',
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'data_type': None
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},
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'split': {'type': 'Split', 'kind': 'op', 'op': 'Split', 'num_splits': 3},
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'split_axis_const': {
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'kind': 'op',
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'value': np.array(4, dtype=np.int64),
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'op': 'Const',
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'type': 'Const'
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},
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'split_axis_const_data': {'value': None, 'shape': np.array(4, dtype=np.int64).shape, 'kind': 'data'},
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'concat': {'type': 'Concat', 'kind': 'op', 'axis': 4},
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'split_data_0': {'value': None, 'shape': int64_array([1, 3, 100, 120, 50]), 'kind': 'data'},
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'split_data_1': {'value': None, 'shape': int64_array([1, 3, 100, 120, 50]), 'kind': 'data'},
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'split_data_2': {'value': None, 'shape': int64_array([1, 3, 100, 120, 50]), 'kind': 'data'},
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'concat_data': {'value': None, 'shape': int64_array([1, 3, 100, 120, 300]), 'kind': 'data'},
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'abs': {'type': 'Abs', 'kind': 'op', 'op': 'Abs'},
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'abs_data': {'value': None, 'shape': int64_array([1, 3, 100, 120, 300]), 'kind': 'data'},
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'output': {'kind': 'op', 'op': 'Result'},
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}
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graph_edges = [
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('placeholder', 'placeholder_data'),
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('placeholder_data', 'split', {'in': 0}),
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('split_axis_const', 'split_axis_const_data'),
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('split_axis_const_data', 'split', {'in': 1}),
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('split', 'split_data_0', {'out': 0}),
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('split', 'split_data_1', {'out': 1}),
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('split', 'split_data_2', {'out': 2}),
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('split_data_0', 'concat', {'in': 0}),
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('split_data_0', 'concat', {'in': 1}),
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('split_data_1', 'concat', {'in': 2}),
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('split_data_1', 'concat', {'in': 3}),
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('split_data_2', 'concat', {'in': 4}),
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('split_data_2', 'concat', {'in': 5}),
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('concat', 'concat_data'),
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('concat_data', 'abs'),
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('abs', 'abs_data'),
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('abs_data', 'output')
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]
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ref_graph_edges = [
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('placeholder', 'placeholder_data'),
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('placeholder_data', 'interpolate', {'in': 0}),
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('placeholder_data', 'shape'),
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('shape', 'sslice', {'in': 0}),
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('slice_begin', 'sslice', {'in': 1}),
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('slice_end', 'sslice', {'in': 2}),
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('sslice', 'sslice_data'),
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('scales', 'scales_data'),
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('sslice_data', 'mul', {'in': 0}),
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('scales_data', 'mul', {'in': 1}),
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('mul', 'mul_data'),
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('mul_data', 'interpolate', {'in': 1}),
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('interpolate', 'interpolate_data'),
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('interpolate_data', 'abs'),
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('abs', 'abs_data'),
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('abs_data', 'output'),
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]
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ref_graph_node_attrs_for_2d_spatial_case_1 = {
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'placeholder': {'type': 'Parameter', 'kind': 'op', 'op': 'Parameter'},
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'placeholder_data': {
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'value': None,
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'shape': int64_array([1, 100, 120, 150]),
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'kind': 'data',
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'data_type': None
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},
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'interpolate': {
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'type': 'Interpolate',
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'kind': 'op',
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'op': 'Interpolate',
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'axes': int64_array([3]),
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'mode': 'nearest'
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},
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'shape': {'type': 'ShapeOf', 'kind': 'op', 'op': 'ShapeOf'},
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'slice_begin': {
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'type': 'Const',
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'op': 'Const',
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'kind': 'op',
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'value': int64_array([3]),
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'shape': int64_array([1])
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},
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'slice_end': {'type': 'Const', 'op': 'Const', 'kind': 'op', 'value': int64_array([4])},
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'sslice': {
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'kind': 'op',
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'type': 'StridedSlice',
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'op': 'StridedSlice',
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'begin_mask': int64_array([1]),
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'end_mask': int64_array([1]),
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'new_axis_mask': int64_array([0]),
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'shrink_axis_mask': int64_array([0]),
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'ellipsis_mask': int64_array([0]),
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},
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'sslice_data': {'kind': 'data', 'shape': None},
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'scales': {
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'type': 'Const',
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'op': 'Const',
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'kind': 'op',
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'value': int64_array([2]),
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'shape': int64_array([1])
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},
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'scales_data': {'kind': 'data', 'shape': None},
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'mul': {'kind': 'op', 'op': 'Mul', 'type': 'Multiply'},
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'mul_data': {'kind': 'data', 'shape': None},
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'interpolate_data': {'value': None, 'shape': int64_array([1, 100, 120, 300]), 'kind': 'data'},
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'abs': {'type': 'Abs', 'kind': 'op', 'op': 'Abs'},
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'abs_data': {'value': None, 'shape': int64_array([1, 100, 120, 300]), 'kind': 'data'},
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'output': {'kind': 'op', 'op': 'Result'},
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}
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ref_graph_node_attrs_for_2d_spatial_case_2 = {
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'placeholder': {'type': 'Parameter', 'kind': 'op', 'op': 'Parameter'},
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'placeholder_data': {
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'value': None,
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'shape': int64_array([1, 100, 120, 150]),
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'kind': 'data',
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'data_type': None
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},
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'interpolate': {
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'type': 'Interpolate',
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'kind': 'op',
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'op': 'Interpolate',
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'axes': int64_array([2]),
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'mode': 'nearest'
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},
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'shape': {'type': 'ShapeOf', 'kind': 'op', 'op': 'ShapeOf'},
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'slice_begin': {
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'type': 'Const',
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'op': 'Const',
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'kind': 'op',
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'value': int64_array([2]),
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'shape': int64_array([1])
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},
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'slice_end': {'type': 'Const', 'op': 'Const', 'kind': 'op', 'value': int64_array([3])},
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'sslice': {
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'kind': 'op',
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'type': 'StridedSlice',
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'op': 'StridedSlice',
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'begin_mask': int64_array([1]),
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'end_mask': int64_array([1]),
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'new_axis_mask': int64_array([0]),
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'shrink_axis_mask': int64_array([0]),
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'ellipsis_mask': int64_array([0]),
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},
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'sslice_data': {'kind': 'data', 'shape': None},
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'scales': {
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'type': 'Const',
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'op': 'Const',
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'kind': 'op',
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'value': int64_array([2]),
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'shape': int64_array([1])
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},
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'scales_data': {'kind': 'data', 'shape': None},
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'mul': {'kind': 'op', 'op': 'Mul', 'type': 'Multiply'},
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'mul_data': {'kind': 'data', 'shape': None},
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'interpolate_data': {'value': None, 'shape': int64_array([1, 100, 240, 150]), 'kind': 'data'},
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'abs': {'type': 'Abs', 'kind': 'op', 'op': 'Abs'},
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'abs_data': {'value': None, 'shape': int64_array([1, 100, 240, 150]), 'kind': 'data'},
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'output': {'kind': 'op', 'op': 'Result'},
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}
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ref_graph_node_attrs_for_3d_spatial_case_1 = {
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'placeholder': {'type': 'Parameter', 'kind': 'op', 'op': 'Parameter'},
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'placeholder_data': {
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'value': None,
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'shape': int64_array([1, 3, 100, 120, 150]),
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'kind': 'data',
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'data_type': None
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},
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'interpolate': {
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'type': 'Interpolate',
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'kind': 'op',
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'op': 'Interpolate',
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'axes': int64_array([4]),
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'mode': 'nearest'
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},
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'shape': {'type': 'ShapeOf', 'kind': 'op', 'op': 'ShapeOf'},
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'slice_begin': {
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'type': 'Const',
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'op': 'Const',
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'kind': 'op',
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'value': int64_array([4]),
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'shape': int64_array([1])
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},
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'slice_end': {'type': 'Const', 'op': 'Const', 'kind': 'op', 'value': int64_array([5])},
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'sslice': {
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'kind': 'op',
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'type': 'StridedSlice',
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'op': 'StridedSlice',
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'begin_mask': int64_array([1]),
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'end_mask': int64_array([1]),
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'new_axis_mask': int64_array([0]),
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'shrink_axis_mask': int64_array([0]),
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'ellipsis_mask': int64_array([0]),
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},
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'sslice_data': {'kind': 'data', 'shape': None},
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'scales': {
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'type': 'Const',
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'op': 'Const',
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'kind': 'op',
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'value': int64_array([2]),
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'shape': int64_array([1])
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},
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'scales_data': {'kind': 'data', 'shape': None},
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'mul': {'kind': 'op', 'op': 'Mul', 'type': 'Multiply'},
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'mul_data': {'kind': 'data', 'shape': None},
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'interpolate_data': {'value': None, 'shape': int64_array([1, 3, 100, 120, 300]), 'kind': 'data'},
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'abs': {'type': 'Abs', 'kind': 'op', 'op': 'Abs'},
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'abs_data': {'value': None, 'shape': int64_array([1, 3, 100, 120, 300]), 'kind': 'data'},
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'output': {'kind': 'op', 'op': 'Result'},
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}
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ref_graph_node_attrs_for_3d_spatial_case_2 = {
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'placeholder': {'type': 'Parameter', 'kind': 'op', 'op': 'Parameter'},
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'placeholder_data': {
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'value': None,
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'shape': int64_array([1, 3, 100, 120, 150]),
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'kind': 'data',
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'data_type': None
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},
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'interpolate': {
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'type': 'Interpolate',
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'kind': 'op',
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'op': 'Interpolate',
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'axes': int64_array([3]),
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'mode': 'nearest'
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},
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'shape': {'type': 'ShapeOf', 'kind': 'op', 'op': 'ShapeOf'},
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'slice_begin': {
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'type': 'Const',
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'op': 'Const',
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'kind': 'op',
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'value': int64_array([4]),
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'shape': int64_array([1])
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},
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'slice_end': {'type': 'Const', 'op': 'Const', 'kind': 'op', 'value': int64_array([5])},
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'sslice': {
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'kind': 'op',
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'type': 'StridedSlice',
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'op': 'StridedSlice',
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'begin_mask': int64_array([1]),
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'end_mask': int64_array([1]),
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'new_axis_mask': int64_array([0]),
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'shrink_axis_mask': int64_array([0]),
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'ellipsis_mask': int64_array([0]),
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},
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'sslice_data': {'kind': 'data', 'shape': None},
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'scales': {
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'type': 'Const',
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'op': 'Const',
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'kind': 'op',
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'value': int64_array([2]),
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'shape': int64_array([1])
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},
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'scales_data': {'kind': 'data', 'shape': None},
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'mul': {'kind': 'op', 'op': 'Mul', 'type': 'Multiply'},
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'mul_data': {'kind': 'data', 'shape': None},
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'interpolate_data': {'value': None, 'shape': int64_array([1, 3, 100, 240, 150]), 'kind': 'data'},
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'abs': {'type': 'Abs', 'kind': 'op', 'op': 'Abs'},
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'abs_data': {'value': None, 'shape': int64_array([1, 3, 100, 240, 150]), 'kind': 'data'},
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'output': {'kind': 'op', 'op': 'Result'},
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}
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class SplitConcatPairToInterpolateTest(unittest.TestCase):
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def test_spatial_2d_split_concat_1(self):
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graph = build_graph(
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nodes_attrs=graph_node_attrs_for_2d_spatial_case,
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edges=graph_edges
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)
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ref_graph = build_graph(
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nodes_attrs=ref_graph_node_attrs_for_2d_spatial_case_1,
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edges=ref_graph_edges
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)
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SplitConcatPairToInterpolate().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_spatial_2d_split_concat_2(self):
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graph = build_graph(
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nodes_attrs=graph_node_attrs_for_2d_spatial_case,
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edges=graph_edges,
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update_attributes={
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'split': {'type': 'Split', 'kind': 'op', 'op': 'Split', 'num_splits': 3},
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'split_axis_const': {
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'kind': 'op',
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'value': np.array(2, dtype=np.int64),
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'op': 'Const',
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'type': 'Const'
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},
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'split_axis_const_data': {'value': None, 'shape': np.array(2, dtype=np.int64).shape, 'kind': 'data'},
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'concat': {'type': 'Concat', 'kind': 'op', 'axis': 2},
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'split_data_0': {'value': None, 'shape': int64_array([1, 100, 40, 150]), 'kind': 'data'},
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'split_data_1': {'value': None, 'shape': int64_array([1, 100, 40, 150]), 'kind': 'data'},
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'split_data_2': {'value': None, 'shape': int64_array([1, 100, 40, 150]), 'kind': 'data'},
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'concat_data': {'value': None, 'shape': int64_array([1, 100, 240, 150]), 'kind': 'data'},
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'abs_data': {'value': None, 'shape': int64_array([1, 100, 240, 150]), 'kind': 'data'},
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}
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)
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ref_graph = build_graph(
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nodes_attrs=ref_graph_node_attrs_for_2d_spatial_case_2,
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edges=ref_graph_edges
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)
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SplitConcatPairToInterpolate().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_spatial_3d_split_concat_1(self):
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graph = build_graph(
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nodes_attrs=graph_node_attrs_for_3d_spatial_case,
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edges=graph_edges
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)
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ref_graph = build_graph(
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nodes_attrs=ref_graph_node_attrs_for_3d_spatial_case_1,
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edges=ref_graph_edges
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)
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SplitConcatPairToInterpolate().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_spatial_3d_split_concat_2(self):
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graph = build_graph(
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nodes_attrs=graph_node_attrs_for_3d_spatial_case,
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edges=graph_edges,
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update_attributes={
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'split': {'type': 'Split', 'kind': 'op', 'op': 'Split', 'num_splits': 3},
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'split_axis_const': {
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'kind': 'op',
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'value': np.array(3, dtype=np.int64),
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'op': 'Const',
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'type': 'Const'
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},
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'split_axis_const_data': {'value': None, 'shape': np.array(3, dtype=np.int64).shape, 'kind': 'data'},
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'concat': {'type': 'Concat', 'kind': 'op', 'axis': 3},
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'split_data_0': {'value': None, 'shape': int64_array([1, 3, 100, 40, 150]), 'kind': 'data'},
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'split_data_1': {'value': None, 'shape': int64_array([1, 3, 100, 40, 150]), 'kind': 'data'},
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'split_data_2': {'value': None, 'shape': int64_array([1, 3, 100, 40, 150]), 'kind': 'data'},
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'concat_data': {'value': None, 'shape': int64_array([1, 3, 100, 240, 150]), 'kind': 'data'},
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'abs_data': {'value': None, 'shape': int64_array([1, 3, 100, 240, 150]), 'kind': 'data'},
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}
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)
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ref_graph = build_graph(
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nodes_attrs=ref_graph_node_attrs_for_3d_spatial_case_2,
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edges=ref_graph_edges
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)
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SplitConcatPairToInterpolate().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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