32 lines
1.1 KiB
Python
32 lines
1.1 KiB
Python
# Copyright (C) 2018-2021 Intel Corporation
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# SPDX-License-Identifier: Apache-2.0
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import numpy as np
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from extensions.ops.fakequantize import FakeQuantize
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from mo.front.common.replacement import FrontReplacementOp
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from mo.graph.graph import Node, Graph
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from mo.ops.const import Const
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class BinarizationToQuantize(FrontReplacementOp):
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"""
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Replaces Binarization layer with Quantize.
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"""
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op = "Binarization"
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enabled = True
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def replace_op(self, graph: Graph, node: Node):
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in_node_0 = node.in_node(0)
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broadcast = lambda x: np.array([x], dtype=np.float32)
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threshold = Const(graph, {'name': node.id + "/Input_1", "value": broadcast(0)}).create_node()
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in_1 = threshold
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in_2 = threshold
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in_3 = Const(graph, {'name': node.id + "/Input_3", "value": broadcast(-1)}).create_node()
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in_4 = Const(graph, {'name': node.id + "/Input_4", "value": broadcast(+1)}).create_node()
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quant = FakeQuantize(graph, {'name': node.id + "/FakeQuantize_", "levels": 2}).create_node(
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inputs=[in_node_0, in_1, in_2, in_3, in_4])
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return [quant.id]
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