465707eba7
* added value propagation for slice_like op * Mark slice_lice as undead node * fixes in mark_undead_nodes and unittests update
88 lines
3.5 KiB
Python
88 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.slice_like import SliceLike
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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 = {
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'input': {'kind': 'op', 'op': 'Const'},
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'input_data': {'kind': 'data', 'shape': int64_array([3, 4]), 'value': np.arange(1, 13).reshape([3, 4])},
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'shape_like': {'kind': 'op', 'op': 'Const', 'shape': int64_array([2, 3]), 'value': None},
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'shape_like_data': {'kind': 'data', 'shape': int64_array([2, 3]), 'value': None},
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'slice_like': {'kind': 'op', 'op': 'slice_data'},
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'out_data': {'kind': 'data', 'shape': None, 'value': None}
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}
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edges = [
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('input', 'input_data'),
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('input_data', 'slice_like', {'in': 0}),
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('shape_like', 'shape_like_data'),
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('shape_like_data', 'slice_like', {'in': 1}),
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('slice_like', 'out_data')
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]
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class SliceLikeTest(unittest.TestCase):
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def test_1(self):
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graph = build_graph(nodes_attributes, edges, {'slice_like': {'axes': None}})
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slice_like = Node(graph, 'slice_like')
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SliceLike.infer(slice_like)
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ref_shape = int64_array([2, 3])
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ref_value = np.array([[1, 2, 3], [5, 6, 7]])
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res_shape = graph.node['out_data']['shape']
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res_value = graph.node['out_data']['value']
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self.assertTrue(np.array_equal(res_shape, ref_shape))
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self.assertTrue(np.array_equal(res_value, ref_value))
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def test_2(self):
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graph = build_graph(nodes_attributes, edges, {'slice_like': {'axes': (0, 1)}})
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slice_like = Node(graph, 'slice_like')
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SliceLike.infer(slice_like)
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ref_shape = int64_array([2, 3])
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ref_value = np.array([[1, 2, 3], [5, 6, 7]])
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res_shape = graph.node['out_data']['shape']
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res_value = graph.node['out_data']['value']
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self.assertTrue(np.array_equal(res_shape, ref_shape))
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self.assertTrue(np.array_equal(res_value, ref_value))
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def test_3(self):
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graph = build_graph(nodes_attributes, edges, {'slice_like': {'axes': (0,)}})
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slice_like = Node(graph, 'slice_like')
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SliceLike.infer(slice_like)
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ref_shape = int64_array([2, 4])
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ref_value = np.array([[1, 2, 3, 4], [5, 6, 7, 8]])
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res_shape = graph.node['out_data']['shape']
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res_value = graph.node['out_data']['value']
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self.assertTrue(np.array_equal(res_shape, ref_shape))
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self.assertTrue(np.array_equal(res_value, ref_value))
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def test_4(self):
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graph = build_graph(nodes_attributes, edges, {'slice_like': {'axes': (-1,)}})
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slice_like = Node(graph, 'slice_like')
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SliceLike.infer(slice_like)
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ref_shape = int64_array([3, 3])
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ref_value = np.array([[1, 2, 3], [5, 6, 7], [9, 10, 11]])
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res_shape = graph.node['out_data']['shape']
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res_value = graph.node['out_data']['value']
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self.assertTrue(np.array_equal(res_shape, ref_shape))
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self.assertTrue(np.array_equal(res_value, ref_value))
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