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
88 lines
2.7 KiB
Python
88 lines
2.7 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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import numpy as np
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from mo.front.extractor import bool_to_str
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from mo.graph.graph import Node, Graph
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from mo.ops.op import Op
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def cumsum(a, axis=None, exclusive=False, reverse=False):
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if reverse:
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a = np.flip(a, axis)
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res = np.cumsum(a, axis=axis)
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if exclusive:
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res -= a
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if reverse:
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res = np.flip(res, axis)
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return res
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class CumSum(Op):
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enabled = False
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op = 'CumSum'
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version = 'opset3'
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def __init__(self, graph: Graph, attrs: dict):
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super().__init__(graph, {
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'op': self.op,
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'type': self.op,
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'version': self.version,
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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 [('exclusive', lambda node: bool_to_str(node, 'exclusive')),
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('reverse', lambda node: bool_to_str(node, 'reverse'))]
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@staticmethod
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def infer(node: Node):
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node_name = node.soft_get('name', node.id)
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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 None for node "{}"'.format(node_name)
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if not node.in_port(1).disconnected():
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assert len(node.in_port(1).data.get_shape()) == 0, 'Axis is not scalar for node: {}'.format(node_name)
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node.out_port(0).data.set_shape(input_shape.copy())
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input_value = node.in_port(0).data.get_value()
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if input_value is not None:
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axis = None if node.in_port(1).disconnected() else node.in_port(1).data.get_value()
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reverse = node.reverse if node.has_valid('reverse') else False
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exclusive = node.exclusive if node.has_valid('exclusive') else False
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node.out_port(0).data.set_value(cumsum(input_value, axis=axis, reverse=reverse, exclusive=exclusive))
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class MXNetCumSum(Op):
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enabled = False
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op = 'MXNetCumSum'
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def __init__(self, graph: Graph, attrs: dict):
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super().__init__(graph, {
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'op': self.op,
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'type': None,
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'infer': None,
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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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