Evgeny Lazarev
dec7df17ed
* Remove unnnecessary ir_version checks in the MO * Cleaned up 'backend_attrs_v2' function * Small clean up from the 'TFCustomSubgraphCall' * Clean up the MO extractor attributes mapping * Renamed PreluOp to PReLU
82 lines
3.5 KiB
Python
82 lines
3.5 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.topk import TopK
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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, regular_op_with_shaped_data, valued_const_with_data, result, connect
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class TestTopKInfer(unittest.TestCase):
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def setUp(self):
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nodes = {
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**regular_op_with_shaped_data('data', [20, 100, 4], {'type': 'Parameter', 'value': None,
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'_out_port_data_type': {0: np.float32}}),
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**valued_const_with_data('k', int64_array(10)),
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**regular_op_with_shaped_data('topk', None, {'op': 'TopK', 'type': 'TopK', 'name': 'topk', 'axis': 1}),
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'topk_d2': {'kind': 'data', 'shape': None, 'value': None},
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**result('output_1'),
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**result('output_2'),
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}
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self.graph = build_graph(nodes, [
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*connect('data', '0:topk'),
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*connect('k', '1:topk'),
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('topk', 'topk_d', {'out': 0}),
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('topk', 'topk_d2', {'out': 1}),
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('topk_d', 'output_1'),
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('topk_d2', 'output_2'),
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], nodes_with_edges_only=True)
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def test_topk_infer_opset1(self):
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topk_node = Node(self.graph, 'topk')
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topk_node['version'] = 'opset1'
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TopK.infer(topk_node)
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TopK.type_infer(topk_node)
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self.assertTrue(np.array_equal(topk_node.out_port(0).data.get_shape(), int64_array([20, 10, 4])))
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self.assertTrue(np.array_equal(topk_node.out_port(1).data.get_shape(), int64_array([20, 10, 4])))
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self.assertTrue(topk_node.out_port(0).get_data_type() == np.float32)
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self.assertTrue(topk_node.out_port(1).get_data_type() == np.int32)
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def test_topk_infer_i64_opset3(self):
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topk_node = Node(self.graph, 'topk')
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topk_node['version'] = 'opset3'
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topk_node['index_element_type'] = np.int64
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TopK.infer(topk_node)
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TopK.type_infer(topk_node)
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self.assertTrue(np.array_equal(topk_node.out_port(0).data.get_shape(), int64_array([20, 10, 4])))
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self.assertTrue(np.array_equal(topk_node.out_port(1).data.get_shape(), int64_array([20, 10, 4])))
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self.assertTrue(topk_node.out_port(0).get_data_type() == np.float32)
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self.assertTrue(topk_node.out_port(1).get_data_type() == np.int64)
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def test_topk_infer_i32_opset3(self):
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topk_node = Node(self.graph, 'topk')
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topk_node['version'] = 'opset3'
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topk_node['index_element_type'] = np.int32
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TopK.infer(topk_node)
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TopK.type_infer(topk_node)
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self.assertTrue(np.array_equal(topk_node.out_port(0).data.get_shape(), int64_array([20, 10, 4])))
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self.assertTrue(np.array_equal(topk_node.out_port(1).data.get_shape(), int64_array([20, 10, 4])))
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self.assertTrue(topk_node.out_port(0).get_data_type() == np.float32)
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self.assertTrue(topk_node.out_port(1).get_data_type() == np.int32)
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