72 lines
2.4 KiB
Python
72 lines
2.4 KiB
Python
"""
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Copyright (c) 2019 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 mo.graph.graph import Graph
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from mo.middle.replacement import MiddleReplacementPattern
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from extensions.ops.elementwise import Mul
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from mo.ops.op import Op
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from mo.utils.error import Error
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class ScaleInput(MiddleReplacementPattern):
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enabled = True
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def run_after(self):
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from extensions.middle.pass_separator import PreMiddleStart
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return [PreMiddleStart]
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def run_before(self):
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from extensions.middle.AddMeanScaleValues import AddMeanScaleValues
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return [AddMeanScaleValues]
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def pattern(self):
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return dict(
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nodes=[
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('placeholder', dict(kind='op', op='Parameter')),
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('data', dict(kind='data'))],
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edges=[
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('placeholder', 'data'),
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],
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)
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def replace_pattern(self, graph: Graph, match: dict):
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scale = graph.graph['cmd_params'].scale
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if scale is None or scale == 1:
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return
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assert (len(match['placeholder'].out_nodes()))
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tinput = match['placeholder']
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if not tinput.has_valid('shape'):
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raise Error("Node {} has not valid shape attribute".format(tinput.id))
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input_shape = tinput.shape
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toutput = match['data']
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# Create Mul node
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value = np.array([1 / scale])
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# Disconnect input with data node
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graph.remove_edge(tinput.id, toutput.id)
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# Create Mul node
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mul_node = Mul(graph, dict(name="Mul1_"))
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mul_data = Op.create_input_data_node(graph, "data_mul_scale_", np.array(value))
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Op.expand_node_shape(mul_data, len(input_shape) - 2 if graph.graph['layout'] == 'NCHW' else 0)
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mul_input = Op.create_data_node(graph, tinput, {'shape': toutput.shape})
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mul_node.create_node_with_data(inputs=[mul_input, mul_data], data_nodes=toutput)
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