75 lines
2.8 KiB
Python
75 lines
2.8 KiB
Python
# Copyright (C) 2018-2021 Intel Corporation
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# SPDX-License-Identifier: Apache-2.0
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import numpy as np
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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 AttributedClamp(Op):
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op = 'AttributedClamp'
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def __init__(self, graph: Graph, attrs: dict):
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super().__init__(graph, {
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'type': 'Clamp',
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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': 1,
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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 [
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'max',
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'min'
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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_in_ports = [port for port in node.in_ports().values() if not port.disconnected()]
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assert len(connected_in_ports) == 1 and connected_in_ports[0].idx == 0, \
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'AttributedClamp should have only one input, but it has {}'.format(len(connected_in_ports))
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assert node.has_valid('max') and node.has_valid('min'), \
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'Mandatory attributes `max` and `min` were not set for AttributedClamp node: `{}`'.format(name)
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assert node.max >= node.min, \
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'AttributedClamp max=={} is less than min=={} for node `{}`'.format(node.max, node.min, name)
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if node.in_port(0).data.get_value() is not None:
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node.out_port(0).data.set_value(np.clip(node.in_port(0).data.get_value(), node['min'], node['max']))
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else:
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node.out_port(0).data.set_shape(node.in_port(0).data.get_shape())
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class Clamp(Op):
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op = 'Clamp'
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def __init__(self, graph: Graph, attrs: dict):
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super().__init__(graph, {
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'type': None,
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'op': self.op,
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'infer': self.infer,
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'in_ports_count': 3,
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'out_ports_count': 1,
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}, attrs)
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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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min_input_connected = node.has_port('in', 1) and not node.in_port(1).disconnected()
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max_input_connected = node.has_port('in', 2) and not node.in_port(2).disconnected()
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input_value = node.in_port(0).data.get_value()
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min_value = node.in_port(1).data.get_value() if min_input_connected else np.finfo(np.float32).min
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max_value = node.in_port(2).data.get_value() if max_input_connected else np.finfo(np.float32).max
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if input_value is not None and min_value is not None and max_value is not None:
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assert np.all(max_value >= min_value), \
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'Clamp max_value=={} is less than min_value=={} for node `{}`'.format(max_value, min_value, name)
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node.out_port(0).data.set_value(np.clip(node.in_port(0).data.get_value(), min_value, max_value))
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else:
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node.out_port(0).data.set_shape(node.in_port(0).data.get_shape())
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