Anton Chetverikov
6b54e738d7
* Allign attribute values in spec * Fix wrong attribute name in spec * Add `get_boolean_attr` function * Add get_type function * Update conv attrs * Update copyright year * Add missed attrs, update copyright year * Fix year in copyright * Update ir parser for RegionYolo layer * Remove wrong changes for BinaryConvolution * Remove get_type function as it no more needed * Update check for reduce ops * Fix error in reduce attrs * Update ir_engine to work with bool attrs * Update DetectionOutput operation * Update PSROIPooling * remove redundant attrs from spec * Update get_boolean_attr function * Update Reduce operations * Update DetectionOutput specification * Update specification for missed attrs * Apply comments * Fixconst renumbering logic * Fix typo * Change default value to fix broken shape inference * Add additional asserts * Add comment * model-optimizer/mo/utils/ir_reader/layer_to_class.py * Sort imports * Sort imports * Update year in copyright * Update const * Remove changes from const restoring * Rename function * remove unnecessary changes * model-optimizer/mo/front/extractor_test.py * Fix year in copyright * Add soft_get * Fix exclude-pad attribute name for AvgPool operation * Update exclude_pad attribute values * Remove useless comment * Update examples in specification * Remove file added by mistake * Resolve comments * Resolve comments * Add return value * Allign global_pool attribute
91 lines
2.8 KiB
Python
91 lines
2.8 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.common.partial_infer.utils import convert_tf_padding_to_str
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from mo.front.extractor import FrontExtractorOp
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from mo.front.tf.extractors.utils import tf_data_format_spatial, tf_int_list
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from mo.ops.pooling import Pooling
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class AvgPoolFrontExtractor(FrontExtractorOp):
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op = 'AvgPool'
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enabled = True
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@classmethod
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def extract(cls, node):
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attrs = create_pooling_attrs(node, 'avg')
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attrs.update({'op': __class__.op})
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# update the attributes of the node
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Pooling.update_node_stat(node, attrs)
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return cls.enabled
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class MaxPoolFrontExtractor(FrontExtractorOp):
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op = 'MaxPool'
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enabled = True
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@classmethod
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def extract(cls, node):
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attrs = create_pooling_attrs(node, 'max')
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attrs.update({'op': __class__.op})
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# update the attributes of the node
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Pooling.update_node_stat(node, attrs)
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return cls.enabled
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class MaxPool3DFrontExtractor(FrontExtractorOp):
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op = 'MaxPool3D'
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enabled = True
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@classmethod
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def extract(cls, node):
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attrs = create_pooling_attrs(node, 'max')
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attrs.update({'op': __class__.op})
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# update the attributes of the node
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Pooling.update_node_stat(node, attrs)
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return cls.enabled
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class AvgPool3DFrontExtractor(FrontExtractorOp):
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op = 'AvgPool3D'
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enabled = True
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@classmethod
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def extract(cls, node):
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attrs = create_pooling_attrs(node, 'avg')
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attrs.update({'op': __class__.op})
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# update the attributes of the node
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Pooling.update_node_stat(node, attrs)
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return cls.enabled
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def create_pooling_attrs(node, pool_method):
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data_format = node.pb.attr["data_format"]
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attrs = {
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'auto_pad': convert_tf_padding_to_str(node.pb.attr['padding'].s.decode()),
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'window': tf_int_list(node.pb.attr["ksize"].list),
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'spatial_dims': tf_data_format_spatial(data_format),
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'pad': None, # will be inferred when input shape is known
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'stride': tf_int_list(node.pb.attr["strides"].list),
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'pad_spatial_shape': None,
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'output_spatial_shape': None,
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'pool_method': pool_method,
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'type': 'Pooling',
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'layout': data_format.s.decode(),
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'exclude_pad': True,
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}
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return attrs |