133 lines
5.5 KiB
Python
133 lines
5.5 KiB
Python
"""
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Copyright (C) 2018-2020 Intel Corporation
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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"""
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import unittest
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import numpy as np
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from extensions.ops.accum import AccumOp
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from mo.graph.graph import Node
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from mo.utils.unittest.graph import build_graph
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wrong_attrs_graph = {'node_1': {'type': 'Identity', 'kind': 'op'},
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'accum': {'type': 'Accum', 'kind': 'op'},
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'node_3': {'type': 'Identity', 'kind': 'op'},
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'op_output': { 'kind': 'op', 'op': 'Result'}
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}
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nodes_attributes = {'node_1': {'type': 'Identity', 'kind': 'op'},
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'node_2': {'type': 'Identity', 'kind': 'op'},
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'accum': {'type': 'Accum', 'kind': 'op'},
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'node_3': {'type': 'Identity', 'kind': 'op'},
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'op_output': { 'kind': 'op', 'op': 'Result'}
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}
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class TestAccumOp(unittest.TestCase):
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def test_accum_infer_assertion(self):
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graph = build_graph(wrong_attrs_graph,
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[('node_1', 'accum'),
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('accum', 'node_3'),
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('node_3', 'op_output')
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],
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{'node_3': {'shape': None},
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'node_1': {'shape': np.array([1, 3, 227, 227])},
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'accum': {
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'top_height': 0,
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'top_width': 0,
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'size_divisible_by': 0,
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'have_reference': 1
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}
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})
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accum_node = Node(graph, 'accum')
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self.assertRaises(AssertionError, AccumOp.accum_infer, accum_node)
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def test_accum_infer_have_reference(self):
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graph = build_graph(nodes_attributes,
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[('node_1', 'accum'),
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('node_2', 'accum'),
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('accum', 'node_3'),
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('node_3', 'op_output')
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],
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{'node_3': {'shape': None},
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'node_1': {'shape': np.array([1, 3, 227, 227])},
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'node_2': {'shape': np.array([1, 3, 227, 227])},
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'accum': {
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'top_height': 0,
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'top_width': 0,
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'size_divisible_by': 0,
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'have_reference': 1
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}
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})
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accum_node = Node(graph, 'accum')
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AccumOp.accum_infer(accum_node)
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exp_shape = np.array([1, 6, 227, 227])
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res_shape = graph.node['node_3']['shape']
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for i in range(0, len(exp_shape)):
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self.assertEqual(exp_shape[i], res_shape[i])
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def test_accum_infer(self):
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graph = build_graph(nodes_attributes,
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[('node_1', 'accum'),
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('node_2', 'accum'),
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('accum', 'node_3'),
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('node_3', 'op_output')
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],
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{'node_3': {'shape': None},
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'node_1': {'shape': np.array([1, 3, 227, 227])},
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'node_2': {'shape': np.array([1, 3, 227, 227])},
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'accum': {
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'top_height': 0,
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'top_width': 0,
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'size_divisible_by': 0,
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'have_reference': 0
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}
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})
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accum_node = Node(graph, 'accum')
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AccumOp.accum_infer(accum_node)
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exp_shape = np.array([1, 6, 227, 227])
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res_shape = graph.node['node_3']['shape']
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for i in range(0, len(exp_shape)):
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self.assertEqual(exp_shape[i], res_shape[i])
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def test_accum_infer_top_height_top_width(self):
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graph = build_graph(nodes_attributes,
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[('node_1', 'accum'),
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('node_2', 'accum'),
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('accum', 'node_3'),
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('node_3', 'op_output')
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],
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{'node_3': {'shape': None},
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'node_1': {'shape': np.array([1, 3, 227, 227])},
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'node_2': {'shape': np.array([1, 3, 227, 227])},
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'accum': {
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'top_height': 229,
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'top_width': 229,
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'size_divisible_by': 0,
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'have_reference': 0
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}
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})
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accum_node = Node(graph, 'accum')
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AccumOp.accum_infer(accum_node)
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exp_shape = np.array([1, 6, 229, 229])
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res_shape = graph.node['node_3']['shape']
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for i in range(0, len(exp_shape)):
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self.assertEqual(exp_shape[i], res_shape[i])
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