3a24eb6a62
* Small fix in the transformation ConvertGroupedStridedSlice. Now VariadicSplit is generated only in the case when node has at least 2 output nodes. * Added unittests for the case when there is only one StridedSlice.
1059 lines
60 KiB
Python
1059 lines
60 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 generator import generator, generate
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from extensions.middle.ConvertGroupedStridedSlice import ConvertGroupedStridedSlice
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from mo.front.common.partial_infer.utils import int64_array
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from mo.graph.graph import Node
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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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nodes_attributes = {
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'placeholder_1': {'type': 'Parameter', 'kind': 'op', 'op': 'Parameter'},
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'placeholder_1_data': {'value': None, 'shape': None, 'kind': 'data', 'data_type': None},
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'placeholder_2': {'type': 'Parameter', 'kind': 'op', 'op': 'Parameter'},
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'placeholder_2_data': {'value': None, 'shape': None, 'kind': 'data', 'data_type': None},
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'placeholder_begin_data': {'value': None, 'shape': None, 'kind': 'data', 'data_type': None},
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'placeholder_end_data': {'value': None, 'shape': None, 'kind': 'data', 'data_type': None},
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'placeholder_stride_data': {'value': None, 'shape': None, 'kind': 'data', 'data_type': None},
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# StridedSlice layers
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'sslice_1': {'type': None, 'kind': 'op', 'op': 'StridedSlice', 'slices': None,
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'shrink_axis_mask': np.array([0, 0, 0, 0])},
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'sslice_1_data': {'value': None, 'shape': None, 'kind': 'data'},
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'sslice_2': {'type': None, 'kind': 'op', 'op': 'StridedSlice', 'slices': None,
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'shrink_axis_mask': np.array([0, 0, 0, 0])},
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'sslice_2_data': {'value': None, 'shape': None, 'kind': 'data'},
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'sslice_3': {'type': None, 'kind': 'op', 'op': 'StridedSlice', 'slices': None,
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'shrink_axis_mask': np.array([0, 0, 0, 0])},
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'sslice_3_data': {'value': None, 'shape': None, 'kind': 'data'},
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# Split layer
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'axis_const': {'kind': 'op'},
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'axis_const_data': {'value': None, 'shape': None, 'kind': 'data'},
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'split_dim_const': {'kind': 'op'},
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'split_dim_const_data': {'value': None, 'shape': None, 'kind': 'data'},
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'split_1': {'type': 'VariadicSplit', 'kind': 'op', 'op': 'VariadicSplit'},
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'split_1_data': {'value': None, 'shape': None, 'kind': 'data'},
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'split_2_data': {'value': None, 'shape': None, 'kind': 'data'},
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'split_3_data': {'value': None, 'shape': None, 'kind': 'data'},
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'split_4_data': {'value': None, 'shape': None, 'kind': 'data'},
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# Concat1 operation
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'concat_1': {'type': 'Concat', 'kind': 'op', 'op': 'Concat'},
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'concat_1_data': {'value': None, 'shape': None, 'kind': 'data'},
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'op_output': {'kind': 'op', 'op': 'Result'},
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'op_output_1': {'kind': 'op', 'op': 'Result'},
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'op_output_2': {'kind': 'op', 'op': 'Result'},
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# Squeeze layers
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'sslice_1/Squeeze_shrink': {'type': None, 'value': None, 'kind': 'op', 'op': 'Squeeze'},
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'sslice_1/Squeeze_shrink_data': {'value': None, 'shape': None, 'kind': 'data'},
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'sslice_1/squeeze_const': {'type': 'Const', 'kind': 'op', 'op': 'Const', 'value': int64_array([2])},
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'sslice_1/squeeze_const_data': {'kind': 'data', 'value': None, 'shape': None},
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'sslice_2/Squeeze_shrink': {'type': None, 'value': None, 'kind': 'op', 'op': 'Squeeze'},
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'sslice_2/Squeeze_shrink_data': {'value': None, 'shape': None, 'kind': 'data'},
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'sslice_2/squeeze_const': {'type': 'Const', 'kind': 'op', 'op': 'Const', 'value': int64_array([2])},
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'sslice_2/squeeze_const_data': {'kind': 'data', 'value': None, 'shape': None},
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# Unsqueeze layer
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'sslice_2/Unsqueeze_new': {'type': None, 'value': None, 'kind': 'op', 'op': 'Unsqueeze'},
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'sslice_2/Unsqueeze_new_data': {'value': None, 'shape': None, 'kind': 'data'},
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'sslice_2/unsqueeze_const': {'type': 'Const', 'kind': 'op', 'op': 'Const', 'value': int64_array([2])},
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'sslice_2/unsqueeze_const_data': {'kind': 'data', 'value': None, 'shape': None},
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}
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one_strided_slice_case_node_attributes = {
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'placeholder': {'type': 'Parameter', 'kind': 'op', 'op': 'Parameter'},
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'placeholder_data': {'value': None, 'shape': None, 'kind': 'data', 'data_type': None},
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'sslice': {'type': None, 'kind': 'op', 'op': 'StridedSlice', 'slices': None,
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'shrink_axis_mask': np.array([0, 0, 0, 0])},
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'sslice_data': {'value': None, 'shape': None, 'kind': 'data'},
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'op_output': {'kind': 'op', 'op': 'Result'},
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}
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one_strided_slice_case_edges = [
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('placeholder', 'placeholder_data'),
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('placeholder_data', 'sslice'),
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('sslice', 'sslice_data'),
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('sslice_data', 'op_output'),
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]
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@generator
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class ConvertGroupedStridedSliceTests(unittest.TestCase):
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def test_1(self):
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graph = build_graph(nodes_attributes,
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[('placeholder_1', 'placeholder_1_data'),
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('placeholder_1_data', 'sslice_1'),
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('sslice_1', 'sslice_1_data'),
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('placeholder_1_data', 'sslice_2'),
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('sslice_2', 'sslice_2_data'),
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('placeholder_1_data', 'sslice_3'),
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('sslice_3', 'sslice_3_data'),
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('sslice_1_data', 'concat_1'),
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('sslice_2_data', 'concat_1'),
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('sslice_3_data', 'concat_1'),
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('concat_1', 'concat_1_data'),
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('concat_1_data', 'op_output')
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],
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{'placeholder_1_data': {'shape': np.array([1, 227, 227, 54])},
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'sslice_1': {'slices': np.array(
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[slice(0, 1, 1), slice(0, 227, 1), slice(0, 227, 1), slice(0, 18, 1)])},
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'sslice_1_data': {'shape': np.array([1, 227, 227, 18])},
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'sslice_2': {'slices': np.array(
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[slice(0, 1, 1), slice(0, 227, 1), slice(0, 227, 1), slice(18, 36, 1)])},
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'sslice_2_data': {'shape': np.array([1, 227, 227, 18])},
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'sslice_3': {'slices': np.array(
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[slice(0, 1, 1), slice(0, 227, 1), slice(0, 227, 1), slice(36, 54, 1)])},
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'sslice_3_data': {'shape': np.array([1, 227, 227, 18])},
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'concat_1_data': {'shape': np.array([1, 227, 227, 54])},
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})
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graph.graph['layout'] = 'NHWC'
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graph_ref = build_graph(nodes_attributes,
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[('placeholder_1', 'placeholder_1_data'),
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('placeholder_1_data', 'split_1', {'in': 0}),
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('split_1', 'split_1_data'),
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('split_1', 'split_2_data'),
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('split_1', 'split_3_data'),
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('split_1_data', 'concat_1'),
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('split_2_data', 'concat_1'),
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('split_3_data', 'concat_1'),
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('concat_1', 'concat_1_data'),
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('concat_1_data', 'op_output'),
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('axis_const', 'axis_const_data'),
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('split_dim_const', 'split_dim_const_data'),
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('axis_const_data', 'split_1', {'in': 1}),
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('split_dim_const_data', 'split_1', {'in': 2}),
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],
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{'placeholder_1_data': {'shape': np.array([1, 227, 227, 54])},
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'axis_const': {'value': 3},
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'split_1_data': {'shape': np.array([1, 227, 227, 18])},
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'split_2_data': {'shape': np.array([1, 227, 227, 18])},
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'split_3_data': {'shape': np.array([1, 227, 227, 18])},
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'concat_1_data': {'shape': np.array([1, 227, 227, 54])},
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})
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ConvertGroupedStridedSlice().find_and_replace_pattern(graph)
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(flag, resp) = compare_graphs(graph, graph_ref, 'concat_1_data', check_op_attrs=True)
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self.assertTrue(flag, resp)
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def test_2(self):
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graph = build_graph(nodes_attributes,
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[('placeholder_1', 'placeholder_1_data'),
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('placeholder_1_data', 'sslice_1'),
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('sslice_1', 'sslice_1_data'),
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('placeholder_1_data', 'sslice_2'),
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('sslice_2', 'sslice_2_data'),
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('placeholder_1_data', 'sslice_3'),
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('sslice_3', 'sslice_3_data'),
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('sslice_1_data', 'concat_1'),
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('sslice_2_data', 'concat_1'),
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('sslice_3_data', 'concat_1'),
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('concat_1', 'concat_1_data'),
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('concat_1_data', 'op_output')
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],
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{'placeholder_1_data': {'shape': np.array([1, 227, 227, 54])},
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'sslice_1': {'slices': np.array(
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[slice(0, 1, 1), slice(0, 227, 1), slice(0, 227, 1), slice(19, 37, 1)])},
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'sslice_1_data': {'shape': np.array([1, 227, 227, 18])},
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'sslice_2': {'slices': np.array(
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[slice(0, 1, 1), slice(0, 227, 1), slice(0, 227, 1), slice(37, 54, 1)])},
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'sslice_2_data': {'shape': np.array([1, 227, 227, 17])},
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'sslice_3': {'slices': np.array(
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[slice(0, 1, 1), slice(0, 227, 1), slice(0, 227, 1), slice(0, 19, 1)])},
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'sslice_3_data': {'shape': np.array([1, 227, 227, 19])},
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'concat_1_data': {'shape': np.array([1, 227, 227, 54])},
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})
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graph.graph['layout'] = 'NHWC'
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graph_ref = build_graph(nodes_attributes,
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[('placeholder_1', 'placeholder_1_data'),
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('placeholder_1_data', 'split_1'),
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('split_1', 'split_1_data'),
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('split_1', 'split_2_data'),
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('split_1', 'split_3_data'),
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('split_1_data', 'concat_1'),
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('split_2_data', 'concat_1'),
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('split_3_data', 'concat_1'),
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('concat_1', 'concat_1_data'),
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('concat_1_data', 'op_output'),
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('axis_const', 'axis_const_data'),
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('split_dim_const', 'split_dim_const_data'),
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('axis_const_data', 'split_1', {'in': 1}),
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('split_dim_const_data', 'split_1', {'in': 2}),
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],
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{'placeholder_1_data': {'shape': np.array([1, 227, 227, 54])},
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'axis_const': {'value': 3},
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'split_1_data': {'shape': np.array([1, 227, 227, 18])},
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'split_2_data': {'shape': np.array([1, 227, 227, 17])},
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'split_3_data': {'shape': np.array([1, 227, 227, 19])},
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'concat_1_data': {'shape': np.array([1, 227, 227, 54])},
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})
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pattern = ConvertGroupedStridedSlice()
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pattern.find_and_replace_pattern(graph)
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(flag, resp) = compare_graphs(graph, graph_ref, 'concat_1_data', check_op_attrs=True)
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self.assertTrue(flag, resp)
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# Intersection of split ranges in feature dimension
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def test_3_neg(self):
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graph = build_graph(nodes_attributes,
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[('placeholder_1', 'placeholder_1_data'),
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('placeholder_1_data', 'sslice_1'),
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('sslice_1', 'sslice_1_data'),
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('placeholder_1_data', 'sslice_2'),
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('sslice_2', 'sslice_2_data'),
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('placeholder_1_data', 'sslice_3'),
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('sslice_3', 'sslice_3_data'),
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('sslice_1_data', 'concat_1'),
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('sslice_2_data', 'concat_1'),
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('sslice_3_data', 'concat_1'),
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('concat_1', 'concat_1_data'),
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('concat_1_data', 'op_output')
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],
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{'placeholder_1_data': {'shape': np.array([1, 227, 227, 54])},
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'sslice_1': {'slices': np.array(
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[slice(0, 1, 1), slice(0, 227, 1), slice(0, 227, 1), slice(19, 39, 1)])},
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'sslice_1_data': {'shape': np.array([1, 227, 227, 20])},
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'sslice_2': {'slices': np.array(
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[slice(0, 1, 1), slice(0, 227, 1), slice(0, 227, 1), slice(37, 54, 1)])},
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'sslice_2_data': {'shape': np.array([1, 227, 227, 17])},
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'sslice_3': {'slices': np.array(
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[slice(0, 1, 1), slice(0, 227, 1), slice(0, 227, 1), slice(0, 19, 1)])},
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'sslice_3_data': {'shape': np.array([1, 227, 227, 19])},
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'concat_1_data': {'shape': np.array([1, 227, 227, 54])},
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})
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graph.graph['layout'] = 'NHWC'
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graph_ref = build_graph(nodes_attributes,
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[('placeholder_1', 'placeholder_1_data'),
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('placeholder_1_data', 'sslice_1'),
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('sslice_1', 'sslice_1_data'),
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('placeholder_1_data', 'sslice_2'),
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('sslice_2', 'sslice_2_data'),
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('placeholder_1_data', 'sslice_3'),
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('sslice_3', 'sslice_3_data'),
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('sslice_1_data', 'concat_1'),
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('sslice_2_data', 'concat_1'),
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('sslice_3_data', 'concat_1'),
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('concat_1', 'concat_1_data'),
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('concat_1_data', 'op_output')
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],
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{'placeholder_1_data': {'shape': np.array([1, 227, 227, 54])},
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'sslice_1': {'slices': np.array(
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[slice(0, 1, 1), slice(0, 227, 1), slice(0, 227, 1), slice(19, 39, 1)])},
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'sslice_1_data': {'shape': np.array([1, 227, 227, 20])},
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'sslice_2': {'slices': np.array(
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[slice(0, 1, 1), slice(0, 227, 1), slice(0, 227, 1), slice(37, 54, 1)])},
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'sslice_2_data': {'shape': np.array([1, 227, 227, 17])},
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'sslice_3': {'slices': np.array(
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[slice(0, 1, 1), slice(0, 227, 1), slice(0, 227, 1), slice(0, 19, 1)])},
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'sslice_3_data': {'shape': np.array([1, 227, 227, 19])},
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'concat_1_data': {'shape': np.array([1, 227, 227, 54])},
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})
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pattern = ConvertGroupedStridedSlice()
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pattern.find_and_replace_pattern(graph)
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(flag, resp) = compare_graphs(graph, graph_ref, 'concat_1_data', check_op_attrs=True)
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self.assertTrue(flag, resp)
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# Split range overflow in feature dimension
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def test_4_neg(self):
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graph = build_graph(nodes_attributes,
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[('placeholder_1', 'placeholder_1_data'),
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('placeholder_1_data', 'sslice_1'),
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('sslice_1', 'sslice_1_data'),
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('placeholder_1_data', 'sslice_2'),
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('sslice_2', 'sslice_2_data'),
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('placeholder_1_data', 'sslice_3'),
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('sslice_3', 'sslice_3_data'),
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('sslice_1_data', 'concat_1'),
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('sslice_2_data', 'concat_1'),
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('sslice_3_data', 'concat_1'),
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('concat_1', 'concat_1_data'),
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('concat_1_data', 'op_output')
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],
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{'placeholder_1_data': {'shape': np.array([1, 227, 227, 54])},
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'sslice_1': {'slices': np.array(
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[slice(0, 1, 1), slice(0, 227, 1), slice(0, 227, 1), slice(19, 37, 1)])},
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'sslice_1_data': {'shape': np.array([1, 227, 227, 18])},
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'sslice_2': {'slices': np.array(
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[slice(0, 1, 1), slice(0, 227, 1), slice(0, 227, 1), slice(37, 55, 1)])},
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'sslice_2_data': {'shape': np.array([1, 227, 227, 18])},
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'sslice_3': {'slices': np.array(
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[slice(0, 1, 1), slice(0, 227, 1), slice(0, 227, 1), slice(0, 19, 1)])},
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'sslice_3_data': {'shape': np.array([1, 227, 227, 19])},
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'concat_1_data': {'shape': np.array([1, 227, 227, 54])},
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})
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graph.graph['layout'] = 'NHWC'
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graph_ref = build_graph(nodes_attributes,
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[('placeholder_1', 'placeholder_1_data'),
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('placeholder_1_data', 'sslice_1'),
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('sslice_1', 'sslice_1_data'),
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('placeholder_1_data', 'sslice_2'),
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('sslice_2', 'sslice_2_data'),
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('placeholder_1_data', 'sslice_3'),
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('sslice_3', 'sslice_3_data'),
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('sslice_1_data', 'concat_1'),
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('sslice_2_data', 'concat_1'),
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('sslice_3_data', 'concat_1'),
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('concat_1', 'concat_1_data'),
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('concat_1_data', 'op_output')
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],
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{'placeholder_1_data': {'shape': np.array([1, 227, 227, 54])},
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'sslice_1': {'slices': np.array(
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[slice(0, 1, 1), slice(0, 227, 1), slice(0, 227, 1), slice(19, 37, 1)])},
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'sslice_1_data': {'shape': np.array([1, 227, 227, 18])},
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'sslice_2': {'slices': np.array(
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[slice(0, 1, 1), slice(0, 227, 1), slice(0, 227, 1), slice(37, 55, 1)])},
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'sslice_2_data': {'shape': np.array([1, 227, 227, 18])},
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'sslice_3': {'slices': np.array(
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[slice(0, 1, 1), slice(0, 227, 1), slice(0, 227, 1), slice(0, 19, 1)])},
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'sslice_3_data': {'shape': np.array([1, 227, 227, 19])},
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'concat_1_data': {'shape': np.array([1, 227, 227, 54])},
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})
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ConvertGroupedStridedSlice().find_and_replace_pattern(graph)
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(flag, resp) = compare_graphs(graph, graph_ref, 'concat_1_data', check_op_attrs=True)
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self.assertTrue(flag, resp)
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# Split(1,H,W,54)--->Fake_data (1,H,W,1)
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# |`---->Sslice1_out (1,H,W,18)
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# |`---->Sslice2_out (1,H,W,18)
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# `----->Sslice3_out (1,H,W,17)
|
|
def test_5(self):
|
|
graph = build_graph(nodes_attributes,
|
|
[('placeholder_1', 'placeholder_1_data'),
|
|
('placeholder_1_data', 'sslice_1'),
|
|
('sslice_1', 'sslice_1_data'),
|
|
('placeholder_1_data', 'sslice_2'),
|
|
('sslice_2', 'sslice_2_data'),
|
|
('placeholder_1_data', 'sslice_3'),
|
|
('sslice_3', 'sslice_3_data'),
|
|
('sslice_1_data', 'concat_1'),
|
|
('sslice_2_data', 'concat_1'),
|
|
('sslice_3_data', 'concat_1'),
|
|
('concat_1', 'concat_1_data'),
|
|
('concat_1_data', 'op_output'),
|
|
],
|
|
{'placeholder_1_data': {'shape': np.array([1, 227, 227, 54])},
|
|
|
|
'sslice_1': {'slices': np.array(
|
|
[slice(0, 1, 1), slice(0, 227, 1), slice(0, 227, 1), slice(19, 37, 1)])},
|
|
'sslice_1_data': {'shape': np.array([1, 227, 227, 18])},
|
|
|
|
'sslice_2': {'slices': np.array(
|
|
[slice(0, 1, 1), slice(0, 227, 1), slice(0, 227, 1), slice(37, 54, 1)])},
|
|
'sslice_2_data': {'shape': np.array([1, 227, 227, 17])},
|
|
|
|
'sslice_3': {'slices': np.array(
|
|
[slice(0, 1, 1), slice(0, 227, 1), slice(0, 227, 1), slice(1, 19, 1)])},
|
|
'sslice_3_data': {'shape': np.array([1, 227, 227, 18])},
|
|
|
|
'concat_1_data': {'shape': np.array([1, 227, 227, 54])},
|
|
})
|
|
graph.graph['layout'] = 'NHWC'
|
|
|
|
graph_ref = build_graph(nodes_attributes,
|
|
[('placeholder_1', 'placeholder_1_data'),
|
|
('placeholder_1_data', 'split_1'),
|
|
('split_1', 'split_1_data'),
|
|
('split_1', 'split_2_data'),
|
|
('split_1', 'split_3_data'),
|
|
('split_1', 'split_4_data'),
|
|
('split_2_data', 'concat_1'),
|
|
('split_3_data', 'concat_1'),
|
|
('split_4_data', 'concat_1'),
|
|
('concat_1', 'concat_1_data'),
|
|
('concat_1_data', 'op_output'),
|
|
('split_1_data', 'op_output_1'),
|
|
|
|
('axis_const', 'axis_const_data'),
|
|
('split_dim_const', 'split_dim_const_data'),
|
|
('axis_const_data', 'split_1', {'in': 1}),
|
|
('split_dim_const_data', 'split_1', {'in': 2}),
|
|
],
|
|
{'placeholder_1_data': {'shape': np.array([1, 227, 227, 54])},
|
|
'axis_const': {'value': 3},
|
|
'split_1_data': {'shape': np.array([1, 227, 227, 1])},
|
|
'split_2_data': {'shape': np.array([1, 227, 227, 18])},
|
|
'split_3_data': {'shape': np.array([1, 227, 227, 17])},
|
|
'split_4_data': {'shape': np.array([1, 227, 227, 18])},
|
|
'concat_1_data': {'shape': np.array([1, 227, 227, 54])},
|
|
})
|
|
|
|
ConvertGroupedStridedSlice().find_and_replace_pattern(graph)
|
|
|
|
(flag, resp) = compare_graphs(graph, graph_ref, 'concat_1_data', check_op_attrs=True)
|
|
self.assertTrue(flag, resp)
|
|
|
|
# Split(1,H,W,54)
|
|
# |`---->Sslice1_out (1,H,W,(0,18))
|
|
# |`---->Fake_data (1,H,W,(18,27))
|
|
# |`---->Sslice3_out (1,H,W,(27,45))
|
|
# `----->Fake_data (1,H,W,(45,54))
|
|
def test_6(self):
|
|
graph = build_graph(nodes_attributes,
|
|
[('placeholder_1', 'placeholder_1_data'),
|
|
('placeholder_1_data', 'sslice_1'),
|
|
('sslice_1', 'sslice_1_data'),
|
|
('placeholder_1_data', 'sslice_2'),
|
|
('sslice_2', 'sslice_2_data'),
|
|
('sslice_1_data', 'concat_1'),
|
|
('sslice_2_data', 'concat_1'),
|
|
('concat_1', 'concat_1_data'),
|
|
('concat_1_data', 'op_output')
|
|
],
|
|
{'placeholder_1_data': {'shape': np.array([1, 227, 227, 54])},
|
|
|
|
'sslice_1': {'slices': np.array(
|
|
[slice(0, 1, 1), slice(0, 227, 1), slice(0, 227, 1), slice(0, 18, 1)])},
|
|
'sslice_1_data': {'shape': np.array([1, 227, 227, 18])},
|
|
|
|
'sslice_2': {'slices': np.array(
|
|
[slice(0, 1, 1), slice(0, 227, 1), slice(0, 227, 1), slice(27, 45, 1)])},
|
|
'sslice_2_data': {'shape': np.array([1, 227, 227, 18])},
|
|
|
|
'concat_1_data': {'shape': np.array([1, 227, 227, 54])},
|
|
})
|
|
graph.graph['layout'] = 'NHWC'
|
|
|
|
graph_ref = build_graph(nodes_attributes,
|
|
[('placeholder_1', 'placeholder_1_data'),
|
|
('placeholder_1_data', 'split_1'),
|
|
('split_1', 'split_1_data'),
|
|
('split_1', 'split_2_data'),
|
|
('split_1', 'split_3_data'),
|
|
('split_1', 'split_4_data'),
|
|
('split_1_data', 'concat_1'),
|
|
('split_3_data', 'concat_1'),
|
|
('concat_1', 'concat_1_data'),
|
|
('concat_1_data', 'op_output'),
|
|
('split_2_data', 'op_output_1'),
|
|
('split_4_data', 'op_output_2'),
|
|
|
|
('axis_const', 'axis_const_data'),
|
|
('split_dim_const', 'split_dim_const_data'),
|
|
('axis_const_data', 'split_1', {'in': 1}),
|
|
('split_dim_const_data', 'split_1', {'in': 2}),
|
|
],
|
|
{'placeholder_1_data': {'shape': np.array([1, 227, 227, 54])},
|
|
'axis_const': {'value': 3},
|
|
'split_1_data': {'shape': np.array([1, 227, 227, 18])},
|
|
'split_2_data': {'shape': np.array([1, 227, 227, 9])},
|
|
'split_3_data': {'shape': np.array([1, 227, 227, 18])},
|
|
'split_4_data': {'shape': np.array([1, 227, 227, 9])},
|
|
'concat_1_data': {'shape': np.array([1, 227, 227, 54])},
|
|
})
|
|
|
|
ConvertGroupedStridedSlice().find_and_replace_pattern(graph)
|
|
|
|
(flag, resp) = compare_graphs(graph, graph_ref, 'concat_1_data', check_op_attrs=True)
|
|
self.assertTrue(flag, resp)
|
|
|
|
def test_7_neg(self):
|
|
graph = build_graph(nodes_attributes,
|
|
[('placeholder_1', 'placeholder_1_data'),
|
|
('placeholder_1_data', 'sslice_1'),
|
|
('sslice_1', 'sslice_1_data'),
|
|
('placeholder_1_data', 'sslice_2'),
|
|
('sslice_2', 'sslice_2_data'),
|
|
('sslice_1_data', 'concat_1'),
|
|
('sslice_2_data', 'concat_1'),
|
|
('concat_1', 'concat_1_data'),
|
|
('concat_1_data', 'op_output')
|
|
],
|
|
{'placeholder_1_data': {'shape': np.array([1, 227, 227, 54])},
|
|
|
|
'sslice_1': {'slices': np.array(
|
|
[slice(0, 1, 1), slice(0, 10, 1), slice(0, 227, 1), slice(0, 18, 1)])},
|
|
'sslice_1_data': {'shape': np.array([1, 10, 227, 18])},
|
|
|
|
'sslice_2': {'slices': np.array(
|
|
[slice(0, 1, 1), slice(10, 227, 1), slice(0, 227, 1), slice(27, 45, 1)])},
|
|
'sslice_2_data': {'shape': np.array([1, 217, 227, 18])},
|
|
|
|
'concat_1_data': {'shape': np.array([1, 227, 227, 54])},
|
|
})
|
|
graph.graph['layout'] = 'NHWC'
|
|
|
|
graph_ref = build_graph(nodes_attributes,
|
|
[('placeholder_1', 'placeholder_1_data'),
|
|
('placeholder_1_data', 'sslice_1'),
|
|
('sslice_1', 'sslice_1_data'),
|
|
('placeholder_1_data', 'sslice_2'),
|
|
('sslice_2', 'sslice_2_data'),
|
|
('sslice_1_data', 'concat_1'),
|
|
('sslice_2_data', 'concat_1'),
|
|
('concat_1', 'concat_1_data'),
|
|
('concat_1_data', 'op_output')
|
|
],
|
|
{'placeholder_1_data': {'shape': np.array([1, 227, 227, 54])},
|
|
|
|
'sslice_1': {'slices': np.array(
|
|
[slice(0, 1, 1), slice(0, 10, 1), slice(0, 227, 1), slice(0, 18, 1)])},
|
|
'sslice_1_data': {'shape': np.array([1, 10, 227, 18])},
|
|
|
|
'sslice_2': {'slices': np.array(
|
|
[slice(0, 1, 1), slice(10, 227, 1), slice(0, 227, 1), slice(27, 45, 1)])},
|
|
'sslice_2_data': {'shape': np.array([1, 217, 227, 18])},
|
|
|
|
'concat_1_data': {'shape': np.array([1, 227, 227, 54])},
|
|
})
|
|
|
|
pattern = ConvertGroupedStridedSlice()
|
|
pattern.find_and_replace_pattern(graph)
|
|
|
|
(flag, resp) = compare_graphs(graph, graph_ref, 'concat_1_data', check_op_attrs=True)
|
|
self.assertTrue(flag, resp)
|
|
|
|
# Split(1,54,W,C)
|
|
# |`---->Sslice1_out (1,(0,18),W,C)
|
|
# |`---->Sslice2_out (1,(18,36),W,C)
|
|
# `----->Fake_data (1,(36,54),W,C)
|
|
def test_8(self):
|
|
graph = build_graph(nodes_attributes,
|
|
[('placeholder_1', 'placeholder_1_data'),
|
|
('placeholder_1_data', 'sslice_1'),
|
|
('sslice_1', 'sslice_1_data'),
|
|
('placeholder_1_data', 'sslice_2'),
|
|
('sslice_2', 'sslice_2_data'),
|
|
('sslice_1_data', 'concat_1'),
|
|
('sslice_2_data', 'concat_1'),
|
|
('concat_1', 'concat_1_data'),
|
|
('concat_1_data', 'op_output')
|
|
],
|
|
{'placeholder_1_data': {'shape': np.array([1, 54, 54, 3])},
|
|
|
|
'sslice_1': {'slices': np.array(
|
|
[slice(0, 1, 1), slice(0, 18, 1), slice(0, 54, 1), slice(0, 3, 1)])},
|
|
'sslice_1_data': {'shape': np.array([1, 18, 54, 3])},
|
|
|
|
'sslice_2': {'slices': np.array(
|
|
[slice(0, 1, 1), slice(18, 36, 1), slice(0, 54, 1), slice(0, 3, 1)])},
|
|
'sslice_2_data': {'shape': np.array([1, 18, 54, 3])},
|
|
|
|
'concat_1_data': {'shape': np.array([1, 54, 54, 3])},
|
|
})
|
|
graph.graph['layout'] = 'NHWC'
|
|
|
|
graph_ref = build_graph(nodes_attributes,
|
|
[('placeholder_1', 'placeholder_1_data'),
|
|
('placeholder_1_data', 'split_1'),
|
|
('split_1', 'split_1_data'),
|
|
('split_1', 'split_2_data'),
|
|
('split_1', 'split_3_data'),
|
|
('split_1_data', 'concat_1'),
|
|
('split_3_data', 'concat_1'),
|
|
('concat_1', 'concat_1_data'),
|
|
('concat_1_data', 'op_output'),
|
|
('split_2_data', 'op_output_1'),
|
|
|
|
('axis_const', 'axis_const_data'),
|
|
('split_dim_const', 'split_dim_const_data'),
|
|
('axis_const_data', 'split_1', {'in': 1}),
|
|
('split_dim_const_data', 'split_1', {'in': 2}),
|
|
],
|
|
{'placeholder_1_data': {'shape': np.array([1, 54, 54, 3])},
|
|
'axis_const': {'value': 1},
|
|
'split_1_data': {'shape': np.array([1, 18, 54, 3])},
|
|
'split_2_data': {'shape': np.array([1, 18, 54, 3])},
|
|
'split_3_data': {'shape': np.array([1, 18, 54, 3])},
|
|
'concat_1_data': {'shape': np.array([1, 54, 54, 3])},
|
|
})
|
|
|
|
pattern = ConvertGroupedStridedSlice()
|
|
pattern.find_and_replace_pattern(graph)
|
|
|
|
(flag, resp) = compare_graphs(graph, graph_ref, 'concat_1_data', check_op_attrs=True)
|
|
self.assertTrue(flag, resp)
|
|
|
|
# Test for the case when there is only 1 StridedSlice.
|
|
@generate(*[(np.array([1, 227, 227, 54]),
|
|
np.array([slice(0, 1, 1), slice(0, 227, 1), slice(0, 227, 1), slice(0, 18, 1)]),
|
|
np.array([1, 227, 227, 18])),
|
|
(np.array([57, 16, 100, 23]),
|
|
np.array([slice(3, 16, 1), slice(0, 16, 1), slice(0, 100, 1), slice(0, 23, 1)]),
|
|
np.array([13, 16, 100, 23])),
|
|
(np.array([16, 800, 1024, 17]),
|
|
np.array([slice(0, 16, 1), slice(0, 800, 1), slice(13, 817, 1), slice(0, 17, 1)]),
|
|
np.array([16, 800, 804, 17]))])
|
|
def test_9(self, input_shape, slices, output_shape):
|
|
graph = build_graph(nodes_attrs=one_strided_slice_case_node_attributes,
|
|
edges=one_strided_slice_case_edges,
|
|
update_attributes={
|
|
'placeholder_data': {'shape': input_shape},
|
|
'sslice': {'slices': slices},
|
|
'sslice_data': {'shape': output_shape},
|
|
})
|
|
graph.graph['layout'] = 'NHWC'
|
|
graph_ref = build_graph(nodes_attrs=one_strided_slice_case_node_attributes,
|
|
edges=one_strided_slice_case_edges,
|
|
update_attributes={
|
|
'placeholder_data': {'shape': input_shape},
|
|
'sslice': {'slices': slices},
|
|
'sslice_data': {'shape': output_shape},
|
|
})
|
|
pattern = ConvertGroupedStridedSlice()
|
|
pattern.find_and_replace_pattern(graph)
|
|
(flag, resp) = compare_graphs(graph, graph_ref, 'op_output', check_op_attrs=True)
|
|
self.assertTrue(flag, resp)
|
|
|
|
|
|
class AddReshapeAfterStridedSliceTests(unittest.TestCase):
|
|
def test_ss_1_shrink_last(self):
|
|
slices = np.array([slice(0, 1, 1), slice(0, 227, 1), slice(0, 1, 1), slice(0, 54, 1)])
|
|
graph = build_graph(nodes_attributes,
|
|
[('placeholder_1', 'placeholder_1_data'),
|
|
('placeholder_1_data', 'sslice_1'),
|
|
('placeholder_begin_data', 'sslice_1'),
|
|
('placeholder_end_data', 'sslice_1'),
|
|
('placeholder_stride_data', 'sslice_1'),
|
|
('sslice_1', 'sslice_1_data'),
|
|
('sslice_1_data', 'op_output')
|
|
],
|
|
{'placeholder_1_data': {'shape': np.array([1, 227, 227, 54])},
|
|
'sslice_1': {'slices': slices,
|
|
'shrink_axis_mask': [0, 0, 1, 0],
|
|
'new_axis_mask': np.array([0, 0, 0, 0])},
|
|
'sslice_1_data': {'shape': np.array([1, 227, 54])},
|
|
}, nodes_with_edges_only=True)
|
|
graph.graph['layout'] = 'NHWC'
|
|
|
|
graph_ref = build_graph(nodes_attributes,
|
|
[('placeholder_1', 'placeholder_1_data'),
|
|
('placeholder_1_data', 'sslice_1'),
|
|
('placeholder_begin_data', 'sslice_1'),
|
|
('placeholder_end_data', 'sslice_1'),
|
|
('placeholder_stride_data', 'sslice_1'),
|
|
('sslice_1', 'sslice_1_data'),
|
|
('sslice_1_data', 'sslice_1/Squeeze_shrink'),
|
|
('sslice_1/squeeze_const', 'sslice_1/squeeze_const_data'),
|
|
('sslice_1/squeeze_const_data', 'sslice_1/Squeeze_shrink'),
|
|
('sslice_1/Squeeze_shrink', 'sslice_1/Squeeze_shrink_data'),
|
|
('sslice_1/Squeeze_shrink_data', 'op_output'),
|
|
],
|
|
{'placeholder_1_data': {'shape': np.array([1, 227, 227, 54])},
|
|
'sslice_1': {'slices': slices,
|
|
'shrink_axis_mask': np.array([0, 0, 0, 0]),
|
|
'new_axis_mask': np.array([0, 0, 0, 0])},
|
|
'sslice_1_data': {'shape': np.array([1, 227, 1, 54])},
|
|
'sslice_1/Squeeze_shrink_data': {'shape': np.array([1, 227, 54])}
|
|
}, nodes_with_edges_only=True)
|
|
|
|
ConvertGroupedStridedSlice().add_squeeze_for_shrink(graph, Node(graph, 'sslice_1'))
|
|
|
|
(flag, resp) = compare_graphs(graph, graph_ref, 'sslice_1_data', check_op_attrs=True)
|
|
self.assertTrue(flag, resp)
|
|
|
|
def test_ss_1_shrink(self):
|
|
slices = np.array([slice(0, 1, 1), slice(0, 227, 1), slice(0, 1, 1), slice(0, 54, 1)])
|
|
|
|
graph = build_graph(nodes_attributes,
|
|
[('placeholder_1', 'placeholder_1_data'),
|
|
('placeholder_1_data', 'sslice_2'),
|
|
('placeholder_begin_data', 'sslice_2'),
|
|
('placeholder_end_data', 'sslice_2'),
|
|
('placeholder_stride_data', 'sslice_2'),
|
|
('sslice_2', 'sslice_2_data'),
|
|
('sslice_2_data', 'placeholder_2', {'out': 0}),
|
|
('placeholder_2', 'placeholder_2_data'),
|
|
('sslice_2_data', 'op_output', {'out': 0})
|
|
],
|
|
{'placeholder_1_data': {'shape': np.array([1, 227, 227, 54])},
|
|
'sslice_2': {'slices': slices,
|
|
'shrink_axis_mask': [0, 0, 1, 0],
|
|
'new_axis_mask': np.array([0, 0, 0, 0])},
|
|
'sslice_2_data': {'shape': np.array([1, 227, 54])}
|
|
}, nodes_with_edges_only=True)
|
|
graph.graph['layout'] = 'NHWC'
|
|
|
|
graph_ref = build_graph(nodes_attributes,
|
|
[('placeholder_1', 'placeholder_1_data'),
|
|
('placeholder_1_data', 'sslice_2'),
|
|
('placeholder_begin_data', 'sslice_2'),
|
|
('placeholder_end_data', 'sslice_2'),
|
|
('placeholder_stride_data', 'sslice_2'),
|
|
('sslice_2', 'sslice_2_data'),
|
|
('sslice_2_data', 'sslice_2/Squeeze_shrink'),
|
|
('sslice_2/squeeze_const', 'sslice_2/squeeze_const_data'),
|
|
('sslice_2/squeeze_const_data', 'sslice_2/Squeeze_shrink'),
|
|
('sslice_2/Squeeze_shrink', 'sslice_2/Squeeze_shrink_data'),
|
|
('sslice_2/Squeeze_shrink_data', 'placeholder_2', {'out': 0}),
|
|
('placeholder_2', 'placeholder_2_data'),
|
|
('sslice_2/Squeeze_shrink_data', 'op_output', {'out': 0})
|
|
],
|
|
{'placeholder_1_data': {'shape': np.array([1, 227, 227, 54])},
|
|
'sslice_2': {'slices': slices,
|
|
'shrink_axis_mask': np.array([0, 0, 0, 0]),
|
|
'new_axis_mask': np.array([0, 0, 0, 0])},
|
|
'sslice_2_data': {'shape': np.array([1, 227, 1, 54])},
|
|
'sslice_2/squeeze_const': {'value': np.array([2])},
|
|
'sslice_2/Squeeze_shrink_data': {'shape': np.array([1, 227, 54])},
|
|
}, nodes_with_edges_only=True)
|
|
|
|
ConvertGroupedStridedSlice().add_squeeze_for_shrink(graph, Node(graph, 'sslice_2'))
|
|
|
|
(flag, resp) = compare_graphs(graph, graph_ref, 'op_output', check_op_attrs=True)
|
|
self.assertTrue(flag, resp)
|
|
|
|
def test_ss_2_shrink(self):
|
|
slices = np.array([slice(0, 1, 1), slice(0, 1, 1), slice(0, 227, 1), slice(0, 1, 1)])
|
|
|
|
graph = build_graph(nodes_attributes,
|
|
[('placeholder_1', 'placeholder_1_data'),
|
|
('placeholder_1_data', 'sslice_2'),
|
|
('placeholder_begin_data', 'sslice_2'),
|
|
('placeholder_end_data', 'sslice_2'),
|
|
('placeholder_stride_data', 'sslice_2'),
|
|
('sslice_2', 'sslice_2_data'),
|
|
('sslice_2_data', 'placeholder_2', {'out': 0}),
|
|
('placeholder_2', 'placeholder_2_data'),
|
|
('sslice_2_data', 'op_output', {'out': 0})
|
|
],
|
|
{'placeholder_1_data': {'shape': np.array([1, 227, 227, 54])},
|
|
'sslice_2': {'slices': slices,
|
|
'shrink_axis_mask': np.array([0, 1, 0, 1]),
|
|
'new_axis_mask': np.array([0, 0, 0, 0])},
|
|
'sslice_2_data': {'shape': np.array([1, 227])}
|
|
}, nodes_with_edges_only=True)
|
|
graph.graph['layout'] = 'NHWC'
|
|
|
|
graph_ref = build_graph(nodes_attributes,
|
|
[('placeholder_1', 'placeholder_1_data'),
|
|
('placeholder_1_data', 'sslice_2'),
|
|
('placeholder_begin_data', 'sslice_2'),
|
|
('placeholder_end_data', 'sslice_2'),
|
|
('placeholder_stride_data', 'sslice_2'),
|
|
('sslice_2', 'sslice_2_data'),
|
|
('sslice_2_data', 'sslice_2/Squeeze_shrink'),
|
|
('sslice_2/squeeze_const', 'sslice_2/squeeze_const_data'),
|
|
('sslice_2/squeeze_const_data', 'sslice_2/Squeeze_shrink'),
|
|
('sslice_2/Squeeze_shrink', 'sslice_2/Squeeze_shrink_data'),
|
|
('sslice_2/Squeeze_shrink_data', 'placeholder_2', {'out': 0}),
|
|
('placeholder_2', 'placeholder_2_data'),
|
|
('sslice_2/Squeeze_shrink_data', 'op_output', {'out': 0})
|
|
],
|
|
{'placeholder_1_data': {'shape': np.array([1, 227, 227, 54])},
|
|
'sslice_2': {'slices': slices,
|
|
'shrink_axis_mask': np.array([0, 0, 0, 0]),
|
|
'new_axis_mask': np.array([0, 0, 0, 0])},
|
|
'sslice_2_data': {'shape': np.array([1, 1, 227, 1])},
|
|
'sslice_2/squeeze_const': {'value': np.array([1, 3])},
|
|
'sslice_2/Squeeze_shrink_data': {'shape': np.array([1, 227])},
|
|
}, nodes_with_edges_only=True)
|
|
|
|
ConvertGroupedStridedSlice().add_squeeze_for_shrink(graph, Node(graph, 'sslice_2'))
|
|
|
|
(flag, resp) = compare_graphs(graph, graph_ref, 'op_output', check_op_attrs=True)
|
|
self.assertTrue(flag, resp)
|
|
|
|
def test_ss_1_new(self):
|
|
slices = np.array([slice(0, 1, 1), slice(0, 1, 1), slice(0, 227, 1), slice(0, 227, 1), slice(0, 54, 1)])
|
|
graph = build_graph(nodes_attributes,
|
|
[('placeholder_1', 'placeholder_1_data'),
|
|
('placeholder_1_data', 'sslice_2'),
|
|
('placeholder_begin_data', 'sslice_2'),
|
|
('placeholder_end_data', 'sslice_2'),
|
|
('placeholder_stride_data', 'sslice_2'),
|
|
('sslice_2', 'sslice_2_data'),
|
|
('sslice_2_data', 'placeholder_2'),
|
|
('placeholder_2', 'placeholder_2_data'), ],
|
|
{'placeholder_1_data': {'shape': np.array([1, 227, 227, 54])},
|
|
'sslice_2': {'slices': slices,
|
|
'shrink_axis_mask': np.array([0, 0, 0, 0, 0]),
|
|
'new_axis_mask': np.array([0, 1, 0, 0, 0])},
|
|
'sslice_2_data': {'shape': np.array([1, 1, 227, 227, 54])}
|
|
}, nodes_with_edges_only=True)
|
|
graph.graph['layout'] = 'NHWC'
|
|
|
|
graph_ref = build_graph(nodes_attributes,
|
|
[('placeholder_1', 'placeholder_1_data'),
|
|
('placeholder_1_data', 'sslice_2'),
|
|
('placeholder_begin_data', 'sslice_2'),
|
|
('placeholder_end_data', 'sslice_2'),
|
|
('placeholder_stride_data', 'sslice_2'),
|
|
('sslice_2', 'sslice_2_data'),
|
|
('sslice_2_data', 'sslice_2/Unsqueeze_new'),
|
|
('sslice_2/unsqueeze_const', 'sslice_2/unsqueeze_const_data'),
|
|
('sslice_2/unsqueeze_const_data', 'sslice_2/Unsqueeze_new'),
|
|
('sslice_2/Unsqueeze_new', 'sslice_2/Unsqueeze_new_data'),
|
|
('sslice_2/Unsqueeze_new_data', 'placeholder_2'),
|
|
('placeholder_2', 'placeholder_2_data')],
|
|
{'placeholder_1_data': {'shape': np.array([1, 227, 227, 54])},
|
|
'sslice_2': {'slices': slices,
|
|
'shrink_axis_mask': np.array([0, 0, 0, 0, 0]),
|
|
'new_axis_mask': np.array([0, 0, 0, 0, 0])},
|
|
'sslice_2_data': {'shape': np.array([1, 227, 227, 54])},
|
|
'sslice_2/unsqueeze_const': {'value': int64_array([1])},
|
|
'sslice_2/Unsqueeze_new_data': {'shape': np.array([1, 1, 227, 227, 54])},
|
|
}, nodes_with_edges_only=True)
|
|
|
|
pattern = ConvertGroupedStridedSlice()
|
|
pattern.add_unsqueeze_for_new(graph, Node(graph, 'sslice_2'))
|
|
|
|
(flag, resp) = compare_graphs(graph, graph_ref, 'sslice_2_data', check_op_attrs=True)
|
|
self.assertTrue(flag, resp)
|
|
|
|
def test_ss_shrink_new(self):
|
|
slices = np.array([slice(0, 1, 1), slice(0, 1, 1), slice(0, 227, 1), slice(0, 1, 1), slice(0, 54, 1)])
|
|
|
|
graph = build_graph(nodes_attributes,
|
|
[('placeholder_1', 'placeholder_1_data'),
|
|
('placeholder_1_data', 'sslice_2'),
|
|
('placeholder_begin_data', 'sslice_2'),
|
|
('placeholder_end_data', 'sslice_2'),
|
|
('placeholder_stride_data', 'sslice_2'),
|
|
('sslice_2', 'sslice_2_data'),
|
|
('sslice_2_data', 'placeholder_2'),
|
|
('placeholder_2', 'placeholder_2_data'),
|
|
('sslice_2_data', 'op_output')
|
|
],
|
|
{'placeholder_1_data': {'shape': np.array([1, 227, 227, 54])},
|
|
'sslice_2': {'slices': slices,
|
|
'shrink_axis_mask': np.array([0, 0, 0, 1, 0]),
|
|
'new_axis_mask': np.array([0, 1, 0, 0, 0])},
|
|
'sslice_2_data': {'shape': np.array([1, 1, 227, 54])}
|
|
}, nodes_with_edges_only=True)
|
|
graph.graph['layout'] = 'NHWC'
|
|
|
|
graph_ref = build_graph(nodes_attributes,
|
|
[('placeholder_1', 'placeholder_1_data'),
|
|
('placeholder_1_data', 'sslice_2'),
|
|
('placeholder_begin_data', 'sslice_2'),
|
|
('placeholder_end_data', 'sslice_2'),
|
|
('placeholder_stride_data', 'sslice_2'),
|
|
('sslice_2', 'sslice_2_data'),
|
|
('sslice_2_data', 'sslice_2/Unsqueeze_new'),
|
|
('sslice_2/unsqueeze_const', 'sslice_2/unsqueeze_const_data'),
|
|
('sslice_2/unsqueeze_const_data', 'sslice_2/Unsqueeze_new'),
|
|
('sslice_2/Unsqueeze_new', 'sslice_2/Unsqueeze_new_data'),
|
|
('sslice_2/Unsqueeze_new_data', 'sslice_2/Squeeze_shrink'),
|
|
('sslice_2/squeeze_const', 'sslice_2/squeeze_const_data'),
|
|
('sslice_2/squeeze_const_data', 'sslice_2/Squeeze_shrink'),
|
|
('sslice_2/Squeeze_shrink', 'sslice_2/Squeeze_shrink_data'),
|
|
('sslice_2/Squeeze_shrink_data', 'placeholder_2'),
|
|
('placeholder_2', 'placeholder_2_data'),
|
|
('sslice_2/Squeeze_shrink_data', 'op_output')
|
|
],
|
|
{'placeholder_1_data': {'shape': np.array([1, 227, 227, 54])},
|
|
'sslice_2': {'slices': slices,
|
|
'shrink_axis_mask': np.array([0, 0, 0, 0, 0]),
|
|
'new_axis_mask': np.array([0, 0, 0, 0, 0])},
|
|
'sslice_2_data': {'shape': np.array([1, 227, 1, 54])},
|
|
'sslice_2/unsqueeze_const': {'value': int64_array([1])},
|
|
'sslice_2/Unsqueeze_new_data': {'shape': np.array([1, 1, 227, 1, 54])},
|
|
'sslice_2/squeeze_const': {'value': np.array([3])},
|
|
'sslice_2/Squeeze_shrink_data': {'shape': np.array([1, 1, 227, 54])},
|
|
}, nodes_with_edges_only=True)
|
|
|
|
pattern = ConvertGroupedStridedSlice()
|
|
pattern.add_squeeze_for_shrink(graph, Node(graph, 'sslice_2'))
|
|
pattern.add_unsqueeze_for_new(graph, Node(graph, 'sslice_2'))
|
|
|
|
(flag, resp) = compare_graphs(graph, graph_ref, 'op_output', check_op_attrs=True)
|
|
self.assertTrue(flag, resp)
|
|
|
|
# test case for strided slice that only shrinks dimension
|
|
def test_ss_shrink_only(self):
|
|
graph = build_graph(nodes_attributes,
|
|
[('placeholder_1', 'placeholder_1_data'),
|
|
('placeholder_1_data', 'sslice_2'),
|
|
('placeholder_begin_data', 'sslice_2'),
|
|
('placeholder_end_data', 'sslice_2'),
|
|
('placeholder_stride_data', 'sslice_2'),
|
|
('sslice_2', 'sslice_2_data'),
|
|
('sslice_2_data', 'placeholder_2'),
|
|
('placeholder_2', 'placeholder_2_data')
|
|
],
|
|
{'placeholder_1_data': {'shape': np.array([1, 227, 1, 54])},
|
|
'sslice_2': {'slices': np.array(
|
|
[slice(0, 1, 1), slice(0, 227, 1), slice(0, 1, 1), slice(0, 54, 1)]),
|
|
'shrink_axis_mask': np.array([0, 0, 1, 0])},
|
|
'sslice_2_data': {'shape': np.array([1, 227, 54])}
|
|
}, nodes_with_edges_only=True)
|
|
graph.graph['layout'] = 'NHWC'
|
|
|
|
graph_ref = graph.copy()
|
|
|
|
ConvertGroupedStridedSlice().find_and_replace_pattern(graph)
|
|
|
|
(flag, resp) = compare_graphs(graph, graph_ref, 'sslice_2_data', check_op_attrs=True)
|
|
self.assertTrue(flag, resp)
|
|
|
|
def test_ss_shrink_only_short(self):
|
|
graph = build_graph(nodes_attributes,
|
|
[('placeholder_1', 'placeholder_1_data'),
|
|
('placeholder_1_data', 'sslice_2'),
|
|
('placeholder_begin_data', 'sslice_2'),
|
|
('placeholder_end_data', 'sslice_2'),
|
|
('placeholder_stride_data', 'sslice_2'),
|
|
('sslice_2', 'sslice_2_data'),
|
|
('sslice_2_data', 'placeholder_2'),
|
|
('placeholder_2', 'placeholder_2_data')
|
|
],
|
|
{'placeholder_1_data': {'shape': np.array([1, 227, 1, 54])},
|
|
'sslice_2': {'slices': np.array(
|
|
[slice(0, 1, 1), slice(0, 227, 1), slice(0, 1, 1), slice(0, 54, 1)]),
|
|
'shrink_axis_mask': np.array([0, 0, 1])},
|
|
'sslice_2_data': {'shape': np.array([1, 227, 54])}
|
|
}, nodes_with_edges_only=True)
|
|
graph.graph['layout'] = 'NHWC'
|
|
|
|
graph_ref = graph.copy()
|
|
|
|
ConvertGroupedStridedSlice().find_and_replace_pattern(graph)
|
|
|
|
(flag, resp) = compare_graphs(graph, graph_ref, 'sslice_2_data', check_op_attrs=True)
|
|
self.assertTrue(flag, resp)
|
|
|
|
def test_ss_shrink_only_long(self):
|
|
graph = build_graph(nodes_attributes,
|
|
[('placeholder_1', 'placeholder_1_data'),
|
|
('placeholder_1_data', 'sslice_2'),
|
|
('placeholder_begin_data', 'sslice_2'),
|
|
('placeholder_end_data', 'sslice_2'),
|
|
('placeholder_stride_data', 'sslice_2'),
|
|
('sslice_2', 'sslice_2_data'),
|
|
('sslice_2_data', 'placeholder_2'),
|
|
('placeholder_2', 'placeholder_2_data')
|
|
],
|
|
{'placeholder_1_data': {'shape': np.array([1, 227, 1, 54])},
|
|
'sslice_2': {'slices': np.array(
|
|
[slice(0, 1, 1), slice(0, 227, 1), slice(0, 1, 1), slice(0, 54, 1)]),
|
|
'shrink_axis_mask': np.array([0, 0, 1, 0, 0])},
|
|
'sslice_2_data': {'shape': np.array([1, 227, 54])}
|
|
}, nodes_with_edges_only=True)
|
|
graph.graph['layout'] = 'NHWC'
|
|
|
|
graph_ref = graph.copy()
|
|
|
|
ConvertGroupedStridedSlice().find_and_replace_pattern(graph)
|
|
|
|
(flag, resp) = compare_graphs(graph, graph_ref, 'sslice_2_data', check_op_attrs=True)
|
|
self.assertTrue(flag, resp)
|
|
|
|
# test case with 2 strided slices with the same parameters but different outputs
|
|
def test_1(self):
|
|
graph = build_graph(nodes_attributes,
|
|
[('placeholder_1', 'placeholder_1_data'),
|
|
('placeholder_1_data', 'sslice_1'),
|
|
('sslice_1', 'sslice_1_data'),
|
|
('placeholder_1_data', 'sslice_2'),
|
|
('sslice_2', 'sslice_2_data'),
|
|
('placeholder_1_data', 'sslice_3'),
|
|
('sslice_3', 'sslice_3_data'),
|
|
('sslice_1_data', 'concat_1'),
|
|
('sslice_2_data', 'concat_1'),
|
|
('sslice_3_data', 'placeholder_2'),
|
|
('placeholder_2', 'placeholder_2_data'),
|
|
('concat_1', 'concat_1_data'),
|
|
('concat_1_data', 'op_output'),
|
|
('placeholder_2_data', 'op_output')
|
|
],
|
|
{'placeholder_1_data': {'shape': np.array([1, 227, 227, 54])},
|
|
|
|
'sslice_1': {'slices': np.array(
|
|
[slice(0, 1, 1), slice(0, 227, 1), slice(0, 227, 1), slice(0, 27, 1)])},
|
|
'sslice_1_data': {'shape': np.array([1, 227, 227, 27])},
|
|
|
|
'sslice_2': {'slices': np.array(
|
|
[slice(0, 1, 1), slice(0, 227, 1), slice(0, 227, 1), slice(27, 54, 1)])},
|
|
'sslice_2_data': {'shape': np.array([1, 227, 227, 27])},
|
|
|
|
'sslice_3': {'slices': np.array(
|
|
[slice(0, 1, 1), slice(0, 227, 1), slice(0, 227, 1), slice(0, 27, 1)])},
|
|
'sslice_3_data': {'shape': np.array([1, 227, 227, 27])},
|
|
|
|
'concat_1_data': {'shape': np.array([1, 227, 227, 54])},
|
|
}, nodes_with_edges_only=True)
|
|
graph.graph['layout'] = 'NHWC'
|
|
|
|
graph_ref = build_graph(nodes_attributes,
|
|
[('placeholder_1', 'placeholder_1_data'),
|
|
('placeholder_1_data', 'split_1'),
|
|
('split_1', 'split_1_data'),
|
|
('split_1', 'split_2_data'),
|
|
('split_1_data', 'concat_1'),
|
|
('split_2_data', 'concat_1'),
|
|
('split_1_data', 'placeholder_2'),
|
|
('placeholder_2', 'placeholder_2_data'),
|
|
('concat_1', 'concat_1_data'),
|
|
('concat_1_data', 'op_output'),
|
|
('placeholder_2_data', 'op_output'),
|
|
|
|
('axis_const', 'axis_const_data'),
|
|
('split_dim_const', 'split_dim_const_data'),
|
|
('axis_const_data', 'split_1', {'in': 1}),
|
|
('split_dim_const_data', 'split_1', {'in': 2}),
|
|
],
|
|
{'placeholder_1_data': {'shape': np.array([1, 227, 227, 54])},
|
|
'axis_const': {'value': 3},
|
|
'split_1_data': {'shape': np.array([1, 227, 227, 27])},
|
|
'split_2_data': {'shape': np.array([1, 227, 227, 27])},
|
|
'concat_1_data': {'shape': np.array([1, 227, 227, 54])},
|
|
}, nodes_with_edges_only=True)
|
|
|
|
ConvertGroupedStridedSlice().find_and_replace_pattern(graph)
|
|
|
|
(flag, resp) = compare_graphs(graph, graph_ref, 'concat_1_data', check_op_attrs=True)
|
|
self.assertTrue(flag, resp)
|
|
|
|
|
|
if __name__ == '__main__':
|
|
unittest.main()
|