109 lines
4.2 KiB
Python
109 lines
4.2 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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from mo.graph.graph import Graph
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from mo.ops.op import Op
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class LRN(Op):
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op = 'LRN'
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enabled = False
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def __init__(self, graph: Graph, attrs: dict):
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assert 'alpha' in attrs, 'LRN operation should have `alpha` parameter set while creation'
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assert 'beta' in attrs, 'LRN operation should have `beta` parameter set while creation'
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assert 'bias' in attrs, 'LRN operation should have `bias` parameter set while creation'
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assert 'size' in attrs, 'LRN operation should have `size` parameter set while creation'
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assert 'region' not in attrs, \
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'LRN operation should not have `region` parameter set while creation, please use AttributedLRN operation ' \
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'instead or keep using LRN operation with region expressed as second `axis`-input'
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super().__init__(graph, {
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'type': self.op,
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'op': self.op,
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'version': 'opset1',
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'infer': self.infer,
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'in_ports_count': 2,
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'out_ports_count': 1,
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}, attrs)
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def supported_attrs(self):
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return ['alpha', 'beta', 'bias', 'size']
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@staticmethod
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def infer(node):
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name = node.soft_get('name', node.id)
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connected_inputs = {idx: port for idx, port in node.in_ports().items() if not port.disconnected()}
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assert len(connected_inputs) == 2 and 0 in connected_inputs and 1 in connected_inputs, \
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'LRN should have 2 connected input ports, but it doesn`t for node: `{}`. Ports: {}' \
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''.format(name, connected_inputs)
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input_shape = node.in_port(0).data.get_shape()
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assert input_shape is not None, 'Input shape is unknown for node {}'.format(name)
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node.out_port(0).data.set_shape(input_shape)
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class AttributedLRN(Op):
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op = 'AttributedLRN'
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enabled = False
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def __init__(self, graph: Graph, attrs: dict):
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assert 'alpha' in attrs, 'AttributedLRN operation should have `alpha` parameter set while creation'
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assert 'beta' in attrs, 'AttributedLRN operation should have `beta` parameter set while creation'
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assert 'local_size' in attrs, 'AttributedLRN operation should have `local_size` parameter set while creation'
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super().__init__(graph, {
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'op': self.op,
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'type': 'Norm',
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'version': 'opset1',
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'bias': 1,
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'region': 'across',
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'infer': self.infer,
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'in_ports_count': 1,
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'out_ports_count': 1,
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}, attrs)
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assert 'region' in self.attrs, 'AttributedLRN operation should have `region` parameter set while creation'
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assert self.attrs['region'] in ['across', 'same'], \
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'AttributedLRN operation should have `region` parameter set to `across` or `same`, but it is `{}`' \
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''.format(self.attrs['region'])
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def supported_attrs(self):
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return [
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'alpha',
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'beta',
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('local-size', lambda node: node.local_size),
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'region' # deprecated in V10 attribute, but it is kept for V6 compatibility
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]
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@staticmethod
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def infer(node):
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name = node.soft_get('name', node.id)
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connected_inputs = {idx: port for idx, port in node.in_ports().items() if not port.disconnected()}
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assert len(connected_inputs) == 1 and 0 in connected_inputs, \
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'AttributedLRN should have 1 connected input port, but it doesn`t for node: `{}`. Ports: {}' \
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''.format(name, connected_inputs)
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input_shape = node.in_port(0).data.get_shape()
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assert input_shape is not None, 'Input shape is unknown for node {}'.format(name)
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node.out_port(0).data.set_shape(input_shape)
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