58 lines
2.3 KiB
Python
58 lines
2.3 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 numpy as np
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from extensions.front.eltwise_n import EltwiseNReplacement
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from extensions.ops.elementwise import Mul
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from mo.front.common.replacement import FrontReplacementPattern
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from mo.graph.graph import Graph, Node
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from mo.ops.const import Const
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class EltwiseAddNormalize(FrontReplacementPattern):
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"""
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The Caffe layer "Eltwise" with operation SUM has optional attribute "coeff" which specifies the constant to multiply
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the inputs before applying. This transformation inserts Mul operation to the inputs and removes the "coeff"
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attribute from the node.
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"""
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enabled = True
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def run_before(self):
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return [EltwiseNReplacement]
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@staticmethod
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def __insert_mul_node_with_coeff(node: Node, port: int, coeff: float):
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if coeff != 1:
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mul_node = Mul(node.graph, {'name': node.id + '/coeff_mul'}).create_node()
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const_node = Const(node.graph, {'name': node.id + '/coeff', 'value': np.array([coeff])}).create_node()
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node.in_port(port).get_connection().insert_node(mul_node)
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const_node.out_port(0).connect(mul_node.in_port(1))
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def find_and_replace_pattern(self, graph: Graph):
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for eltwise_node in graph.get_op_nodes(op='EltwiseN', operation='sum') + graph.get_op_nodes(op='Add'):
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if eltwise_node.has_valid('coeff') and len(eltwise_node.coeff):
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coeff = eltwise_node.coeff
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for i in range(len(coeff)):
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__class__.__insert_mul_node_with_coeff(eltwise_node, i, coeff[i])
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eltwise_node.coeff = None
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if len(coeff) > 2:
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eltwise_node.op = "EltwiseN"
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eltwise_node.type = "EltwiseN"
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eltwise_node['operation'] = "sum"
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