159 lines
6.3 KiB
Python
159 lines
6.3 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.argmax import ArgMaxOp
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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 = {'node_1': {'type': 'Identity', 'kind': 'op'},
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'argmax': {'op': 'ArgMax', '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 TestArgMaxOp(unittest.TestCase):
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def test_caffe_argmax_axis(self):
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graph = build_graph(nodes_attributes,
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[('node_1', 'argmax'),
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('argmax', '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, 1025, 2049])},
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'argmax': {
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'out_max_val': True,
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'top_k': 100,
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'axis': 2
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}
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})
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argmax_node = Node(graph, 'argmax')
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ArgMaxOp.argmax_infer(argmax_node)
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exp_shape = np.array([1, 3, 100, 2049])
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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_caffe_argmax_axis_negative(self):
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graph = build_graph(nodes_attributes,
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[('node_1', 'argmax'),
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('argmax', '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, 1025, 2049])},
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'argmax': {
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'out_max_val': True,
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'top_k': 100,
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'axis': -1
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}
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})
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argmax_node = Node(graph, 'argmax')
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ArgMaxOp.argmax_infer(argmax_node)
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exp_shape = np.array([1, 3, 1025, 100])
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res_shape = graph.node['node_3']['shape']
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self.assertEqual(argmax_node.axis, 3)
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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_caffe_argmax_no_axis(self):
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graph = build_graph(nodes_attributes,
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[('node_1', 'argmax'),
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('argmax', '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, 1025, 2049])},
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'argmax': {
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'out_max_val': True,
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'top_k': 100
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}
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})
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argmax_node = Node(graph, 'argmax')
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ArgMaxOp.argmax_infer(argmax_node)
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exp_shape = np.array([1, 2, 100, 1])
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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_caffe_argmax_extend_shape(self):
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graph = build_graph(nodes_attributes,
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[('node_1', 'argmax'),
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('argmax', '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])},
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'argmax': {
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'out_max_val': True,
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'top_k': 100
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}
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})
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argmax_node = Node(graph, 'argmax')
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ArgMaxOp.argmax_infer(argmax_node)
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exp_shape = np.array([1, 2, 100])
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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_caffe_argmax_out_max_val_false(self):
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graph = build_graph(nodes_attributes,
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[('node_1', 'argmax'),
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('argmax', '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])},
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'argmax': {
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'out_max_val': False,
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'top_k': 100
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}
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})
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argmax_node = Node(graph, 'argmax')
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ArgMaxOp.argmax_infer(argmax_node)
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exp_shape = np.array([1, 1, 100])
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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_caffe_argmax_no_shape(self):
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graph = build_graph(nodes_attributes,
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[('node_1', 'argmax'),
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('argmax', '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': None},
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'argmax': {
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'out_max_val': False,
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'top_k': 100
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}
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})
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argmax_node = Node(graph, 'argmax')
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ArgMaxOp.argmax_infer(argmax_node)
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res_shape = graph.node['node_3']['shape']
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self.assertIsNone(res_shape)
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