188 lines
6.9 KiB
Python
188 lines
6.9 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 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.ops.crop import Crop
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from mo.utils.unittest.graph import build_graph
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class TestCropPartialInfer(unittest.TestCase):
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@staticmethod
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def _create_graph_type1():
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nodes_attributes = {'crop_input': {'shape': None, 'value': None, 'kind': 'data'},
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'crop_node': {'type': 'Crop', 'kind': 'op'},
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'crop_output': {'shape': None, 'value': None, 'kind': 'data'}
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}
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return build_graph(nodes_attributes,
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[
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('crop_input', 'crop_node'), ('crop_node', 'crop_output')
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],
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{
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'crop_input': {'shape': int64_array([1, 3, 224, 224])},
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'crop_node': {'axis': int64_array([2, 3]),
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'crop_begin': int64_array([10, 15]),
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'crop_end': int64_array([10, 15])
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},
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})
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@staticmethod
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def _create_graph_type2():
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nodes_attributes = {'crop_input': {'shape': None, 'value': None, 'kind': 'data'},
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'crop_node': {'type': 'Crop', 'kind': 'op'},
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'crop_output': {'shape': None, 'value': None, 'kind': 'data'}
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}
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return build_graph(nodes_attributes,
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[
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('crop_input', 'crop_node'), ('crop_node', 'crop_output')
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],
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{
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'crop_input': {'shape': int64_array([1, 3, 224, 224])},
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'crop_node': {'axis': int64_array([2, 3]), 'dim': int64_array([100, 150])},
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})
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@staticmethod
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def _create_graph_type3():
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nodes_attributes = {'crop_input': {'shape': None, 'value': None, 'kind': 'data'},
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'crop_input2': {'shape': None, 'value': None, 'kind': 'data'},
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'crop_node': {'type': 'Crop', 'kind': 'op'},
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'crop_output': {'shape': None, 'value': None, 'kind': 'data'}
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}
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return build_graph(nodes_attributes,
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[
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('crop_input', 'crop_node'), ('crop_input2', 'crop_node'), ('crop_node', 'crop_output')
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],
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{
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'crop_input': {'shape': int64_array([1, 3, 224, 224])},
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'crop_input2': {'shape': int64_array([1, 3, 100, 150])},
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'crop_node': {'axis': 2, 'offset': int64_array([10, 15])},
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})
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def test_crop_type1_infer(self):
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graph = self._create_graph_type1()
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crop_node = Node(graph, 'crop_node')
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Crop.infer(crop_node)
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exp_shape = int64_array([1, 3, 204, 194])
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res_shape = graph.node['crop_output']['shape']
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self.assertTrue(np.array_equal(exp_shape, res_shape),
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'shapes do not match expected: {} and given: {}'.format(exp_shape, res_shape))
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def test_crop_type1_infer_neg1(self):
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graph = self._create_graph_type1()
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crop_node = Node(graph, 'crop_node')
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crop_node['axis'] = None
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Crop.infer(crop_node)
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self.assertIsNone(crop_node.out_node().shape)
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def test_crop_type1_infer_neg2(self):
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graph = self._create_graph_type1()
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crop_node = Node(graph, 'crop_node')
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crop_node['crop_begin'] = int64_array([1, 2, 3])
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Crop.infer(crop_node)
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self.assertIsNone(crop_node.out_node().shape)
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def test_crop_type2_infer(self):
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graph = self._create_graph_type2()
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crop_node = Node(graph, 'crop_node')
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Crop.infer(crop_node)
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exp_shape = int64_array([1, 3, 100, 150])
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res_shape = graph.node['crop_output']['shape']
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self.assertTrue(np.array_equal(exp_shape, res_shape),
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'shapes do not match expected: {} and given: {}'.format(exp_shape, res_shape))
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def test_crop_type2_infer_neg1(self):
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graph = self._create_graph_type2()
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crop_node = Node(graph, 'crop_node')
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crop_node['dim'] = int64_array([1, 2, 3])
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Crop.infer(crop_node)
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self.assertIsNone(crop_node.out_node().shape)
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def test_crop_type2_infer_neg2(self):
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graph = self._create_graph_type2()
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crop_node = Node(graph, 'crop_node')
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crop_node['dim'] = None
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crop_node['crop_begin'] = None
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Crop.infer(crop_node)
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self.assertIsNone(crop_node.out_node().shape)
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def test_crop_type3_infer(self):
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graph = self._create_graph_type3()
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crop_node = Node(graph, 'crop_node')
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Crop.infer(crop_node)
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exp_shape = int64_array([1, 3, 100, 150])
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res_shape = graph.node['crop_output']['shape']
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self.assertTrue(np.array_equal(exp_shape, res_shape),
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'shapes do not match expected: {} and given: {}'.format(exp_shape, res_shape))
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def test_crop_type3_infer_neg1(self):
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graph = self._create_graph_type3()
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crop_node = Node(graph, 'crop_node')
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crop_input2 = Node(graph, 'crop_input2')
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crop_input2.shape = None
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Crop.infer(crop_node)
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self.assertIsNone(crop_node.out_node().shape)
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def test_crop_type3_infer_neg2(self):
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graph = self._create_graph_type3()
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crop_node = Node(graph, 'crop_node')
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crop_node['axis'] = None
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Crop.infer(crop_node)
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self.assertIsNone(crop_node.out_node().shape)
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def test_crop_type3_infer_neg3(self):
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graph = self._create_graph_type3()
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crop_node = Node(graph, 'crop_node')
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crop_node['offset'] = None
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Crop.infer(crop_node)
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self.assertIsNone(crop_node.out_node().shape)
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def test_crop_type3_infer_neg4(self):
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graph = self._create_graph_type3()
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crop_node = Node(graph, 'crop_node')
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crop_input2 = Node(graph, 'crop_input2')
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crop_input2.shape = int64_array([1, 4, 423, 563])
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Crop.infer(crop_node)
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self.assertIsNone(crop_node.out_node().shape)
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