c2394508c1
* Implement LookupTableInsertV2 shape inference It is needed if other nodes not beeing pruned in the graph have a conditional dependence on LookupTableInsertV2 node. Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com> * Fix after core-review #1 Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com> * Fix the code after review #2 Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com> * Fix after code review #3
73 lines
2.9 KiB
Python
73 lines
2.9 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.ops.LookupTableInsert import LookupTableInsert
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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.unittest.graph import build_graph
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nodes_attributes = {'table': {'kind': 'op'},
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'table_data': {'shape': None, 'value': None, 'kind': 'data'},
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'keys': {'kind': 'op'},
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'keys_data': {'shape': None, 'value': None, 'kind': 'data'},
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'values': {'kind': 'op'},
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'values_data': {'shape': None, 'value': None, 'kind': 'data'},
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'lookuptableinsert_node': {'op': 'LookupTableInsert', 'kind': 'op'},
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'output': {'shape': None, 'value': None, 'kind': 'data'}}
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# graph 1
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edges1 = [('table', 'table_data'),
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('keys', 'keys_data'),
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('values', 'values_data'),
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('table_data', 'lookuptableinsert_node', {'in': 0}),
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('keys_data', 'lookuptableinsert_node', {'in': 1}),
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('values_data', 'lookuptableinsert_node', {'in': 2}),
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('lookuptableinsert_node', 'output')]
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# valid test case
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inputs1 = {'table_data': {},
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'keys_data': {'shape': int64_array([4])},
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'values_data': {'shape': int64_array([4])}}
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# invalid test case
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inputs2 = {'table_data': {},
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'keys_data': {'shape': int64_array([5, 2])},
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'values_data': {'shape': int64_array([4])}}
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class TestLookupTableInsert(unittest.TestCase):
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def test_infer1(self):
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graph = build_graph(nodes_attributes, edges1, inputs1)
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lookuptableinsert_node = Node(graph, 'lookuptableinsert_node')
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LookupTableInsert.infer(lookuptableinsert_node)
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# prepare reference results
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ref_output_shape = int64_array([])
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# get the result
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res_output_shape = graph.node['output']['shape']
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self.assertTrue(np.array_equal(ref_output_shape, res_output_shape),
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'shapes do not match expected: {} and given: {}'.format(ref_output_shape, res_output_shape))
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def test_infer_invalid1(self):
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graph = build_graph(nodes_attributes, edges1, inputs2)
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lookuptableinsert_node = Node(graph, 'lookuptableinsert_node')
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self.assertRaises(AssertionError, LookupTableInsert.infer, lookuptableinsert_node)
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