Maxim Vafin
0b3ff5edc2
* Add MO support for MVN-6 * Apply review feedback * Apply review feedback * Enable MVN-6 decomposition * Fix shape_infer issue * Fix MVN6 decomposition * Fix build * Fix tests * Small fix * Add MVN-6 reader test * Apply feedback * Apply review feedback * Fix onnx test failure
88 lines
3.0 KiB
Python
88 lines
3.0 KiB
Python
"""
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Copyright (C) 2018-2021 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.front.caffe.extractors.utils import get_canonical_axis_index
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from mo.front.common.layout import get_features_dim
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from mo.front.common.partial_infer.elemental import copy_shape_infer
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from mo.front.extractor import bool_to_str
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from mo.graph.graph import Graph
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from mo.graph.perm_inputs import PermuteInputs
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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 MVN(Op):
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op = 'MVN'
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enabled = True
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def __init__(self, graph: Graph, attrs: dict):
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super().__init__(graph, {
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'kind': 'op',
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'type': self.op,
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'op': self.op,
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'version': 'opset6',
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'eps': None,
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'normalize_variance': None,
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'eps_mode': None,
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'in_ports_count': 2,
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'out_ports_count': 1,
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'infer': self.infer
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}, attrs)
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def supported_attrs(self):
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return ['eps', 'eps_mode', 'normalize_variance']
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def backend_attrs(self):
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version = self.get_opset()
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if version == 'opset2':
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return ['eps',
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('across_channels', lambda node: bool_to_str(node, 'across_channels')),
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('normalize_variance', lambda node: bool_to_str(node, 'normalize_variance'))]
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elif version == 'opset6':
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return ['eps', 'eps_mode', ('normalize_variance', lambda node: bool_to_str(node, 'normalize_variance'))]
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else:
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raise Error('Unsupported MVN opset version "{}"'.format(version))
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@staticmethod
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def infer(node: None):
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name = node.soft_get('name', node.id)
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assert node.eps is not None, 'MVN required attribute `eps` unspecified for node {}'.format(name)
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assert node.eps_mode is not None, 'MVN required attribute `eps_mode` unspecified for node {}'.format(name)
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assert node.normalize_variance is not None, \
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'MVN required attribute `normalize_variance` unspecified for node {}'.format(name)
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PermuteInputs().set_input_permutation(node.in_node(1), node, 'input:0', 'axis')
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copy_shape_infer(node)
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class MVNCaffe(Op):
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op = 'MVNCaffe'
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enabled = False
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def __init__(self, graph: Graph, attrs: dict):
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super().__init__(graph, {
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'kind': 'op',
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'type': None,
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'op': self.op,
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'version': None,
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'eps': 1e-9,
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'normalize_variance': 1,
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'across_channels': 0,
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'in_ports_count': 1,
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'out_ports_count': 1,
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'infer': None
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}, attrs)
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