91 lines
4.0 KiB
Python
91 lines
4.0 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.front.kaldi.apply_counts import apply_biases_to_last_layer
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from mo.utils.ir_engine.compare_graphs import compare_graphs
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from mo.utils.unittest.graph import build_graph
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class TestKaldiPipeline(unittest.TestCase):
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def test_apply_biases_to_ScaleShift(self):
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counts = -0.5 * np.ones(10)
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nodes = {'input': {'kind': 'op', 'op': None},
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'weights': {'kind': 'op', 'op': 'Const'},
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'biases': {'kind': 'op', 'op': 'Const', 'value': None, 'shape': None, 'data_type': None},
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'sc': {'op': 'ScaleShift', 'kind': 'op'},
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'sub': {'op': 'Add', 'kind': 'op'},
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"const": {'op': 'Const', 'value': -counts, 'kind': 'op'},
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'op_output': {'op': 'Result', 'kind': 'op'}
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}
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graph = build_graph(nodes,
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[
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('input', 'sc', {'in': 0}),
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('weights', 'sc', {'in': 1}),
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('biases', 'sc', {'in': 2}),
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('sc', 'op_output')
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], nodes_with_edges_only=True)
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graph.stage = "front"
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ref_graph = build_graph(nodes,
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[
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('input', 'sc', {'in': 0}),
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('weights', 'sc', {'in': 1}),
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('biases', 'sc', {'in': 2}),
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('sc', 'sub', {'in': 0}),
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('const', 'sub', {'in': 1}),
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('sub', 'op_output')
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], nodes_with_edges_only=True)
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apply_biases_to_last_layer(graph, counts)
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compare_graphs(graph, ref_graph, 'op_output', check_op_attrs=True)
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def test_apply_biases_to_graph_with_SoftMax(self):
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counts = -0.5 * np.ones(10)
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nodes = {'input': {'kind': 'op', 'op': None},
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'weights': {'kind': 'op', 'op': 'Const'},
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'biases': {'kind': 'op', 'op': 'Const', 'value': None, 'shape': None, 'data_type': None},
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'fc': {'op': 'FullyConnected', 'kind': 'op'},
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'softmax': {'op': 'SoftMax', 'kind': 'op'},
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'op_output': {'op': 'Result', 'kind': 'op'},
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'sub': {'op': 'Add', 'kind': 'op'},
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"const": {'op': 'Const', 'value': -counts, 'kind': 'op'},
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}
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graph = build_graph(nodes,
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[
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('input', 'fc', {'in': 0}),
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('weights', 'fc', {'in': 1}),
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('biases', 'fc', {'in': 2}),
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('fc', 'softmax'),
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('softmax','op_output')
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], nodes_with_edges_only=True)
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ref_graph = build_graph(nodes,
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[
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('input', 'fc', {'in': 0}),
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('weights', 'fc', {'in': 1}),
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('biases', 'fc', {'in': 2}),
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('fc', 'sub', {'in': 0}),
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('const', 'sub', {'in': 1}),
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('sub', 'op_output')
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], nodes_with_edges_only=True)
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graph.stage = "front"
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apply_biases_to_last_layer(graph, counts)
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compare_graphs(graph, ref_graph, 'op_output', check_op_attrs=True)
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