c8dd831fc3
* Added transformation config to support automl efficientdet-4 model * Added configuration file to convert Automl EfficientDet model * Updated unit test for Pack * Added instruction on how to convert EfficientDet Tensorflow model * Updated documentation on how to convert EfficientDet model * Updated a documentation with instruction on how to convert Automl EfficientDet.
96 lines
4.4 KiB
Python
96 lines
4.4 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.front.Pack import Pack
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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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nodes_attributes = {
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'placeholder_0': {'shape': None, 'type': 'Parameter', 'kind': 'op', 'op': 'Parameter'},
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'placeholder_1': {'shape': None, 'type': 'Parameter', 'kind': 'op', 'op': 'Parameter'},
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'placeholder_2': {'shape': None, 'type': 'Parameter', 'kind': 'op', 'op': 'Parameter'},
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'placeholder_3': {'shape': None, 'type': 'Parameter', 'kind': 'op', 'op': 'Parameter'},
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# Pack operation
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'pack': {'axis': None, 'type': None, 'kind': 'op', 'op': 'Pack'},
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# Test operation
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'last': {'type': None, 'value': None, 'kind': 'op', 'op': None},
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# Unsqueeze, Concat and Const operations
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'const_1': {'value': None, 'type': None, 'kind': 'op', 'op': 'Const'},
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'Unsqueeze_0': {'type': 'Unsqueeze', 'kind': 'op', 'op': 'Unsqueeze'},
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'Unsqueeze_1': {'type': 'Unsqueeze', 'kind': 'op', 'op': 'Unsqueeze'},
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'Unsqueeze_2': {'type': 'Unsqueeze', 'kind': 'op', 'op': 'Unsqueeze'},
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'Unsqueeze_3': {'type': 'Unsqueeze', 'kind': 'op', 'op': 'Unsqueeze'},
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'Unsqueeze_0_axis': {'type': 'Const', 'kind': 'op', 'op': 'Const', 'shape': None, 'value': None},
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'Unsqueeze_1_axis': {'type': 'Const', 'kind': 'op', 'op': 'Const', 'shape': None, 'value': None},
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'Unsqueeze_2_axis': {'type': 'Const', 'kind': 'op', 'op': 'Const', 'shape': None, 'value': None},
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'Unsqueeze_3_axis': {'type': 'Const', 'kind': 'op', 'op': 'Const', 'shape': None, 'value': None},
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'concat_1': {'axis': None, 'type': 'Concat', 'kind': 'op', 'op': 'Concat'},
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}
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@generator
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class PackTest(unittest.TestCase):
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@generate(*[(2, 2, 0), (3, 3, 0), (4, 4, 0), (4, 4, 1), (4, 1, 0), (4, 1, 1)])
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def test_pack_test_all(self, num_inputs: int, num_placeholders: int, axis: list):
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graph_edges = []
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for i in range(num_inputs - num_placeholders + 1):
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for j in range(num_placeholders):
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graph_edges.append(('placeholder_{}'.format(j), 'pack'))
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graph_edges.append(('pack', 'last'))
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update_graph_attributes = {}
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for i in range(num_placeholders):
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update_graph_attributes['placeholder_{}'.format(i)] = {'shape': np.array([1, 227, 227, 3])}
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update_graph_attributes['pack'] = {'axis': axis}
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graph = build_graph(nodes_attributes, graph_edges, update_graph_attributes,
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nodes_with_edges_only=True)
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graph_ref_edges = []
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for i in range(num_inputs - num_placeholders + 1):
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for j in range(num_placeholders):
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graph_ref_edges.append(('placeholder_{}'.format(j), 'Unsqueeze_{}'.format(i + j)))
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graph_ref_edges.append(('Unsqueeze_{}'.format(i + j), 'concat_1'))
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graph_ref_edges.append(('concat_1', 'last'))
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update_graph_ref_attributes = {}
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for i in range(num_placeholders):
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update_graph_ref_attributes['placeholder_{}'.format(i)] = {'shape': np.array([1, 227, 227, 3])}
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for i in range(num_inputs):
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graph_ref_edges.append(('Unsqueeze_{}_axis'.format(i), 'Unsqueeze_{}'.format(i)))
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update_graph_ref_attributes['Unsqueeze_{}_axis'.format(i)] = {'shape': int64_array([1]),
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'value': int64_array([axis])}
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update_graph_ref_attributes['concat_1'] = {'axis': axis}
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graph_ref = build_graph(nodes_attributes, graph_ref_edges, update_graph_ref_attributes,
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nodes_with_edges_only=True)
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graph.stage = 'front'
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replacer = Pack()
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replacer.find_and_replace_pattern(graph)
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(flag, resp) = compare_graphs(graph, graph_ref, 'last', check_op_attrs=True)
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self.assertTrue(flag, resp)
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