56 lines
2.1 KiB
Python
56 lines
2.1 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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import numpy as np
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from mo.front.common.partial_infer.eltwise import eltwise_infer
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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 Eltwise(Op):
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op = 'Eltwise'
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def __init__(self, graph: Graph, attrs: dict):
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operations = {
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'sum': ('Add', lambda a, b: a + b),
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'mul': ('Mul', lambda a, b: a * b),
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'max': ('Max', lambda a, b: np.maximum(a, b)),
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'pow': ('Pow', lambda a, b: np.power(a, b)),
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'less': ('Less', lambda a, b: a < b),
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'less_equal': ('LessEqual', lambda a, b: a <= b),
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'greater': ('Greater', lambda a, b: a > b),
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'greater_equal': ('GreaterEqual', lambda a, b: a >= b),
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'equal': ('Equal', lambda a, b: a == b),
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'floor_mod': ('FloorMod', lambda a, b: a % b),
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'not_equal': ('NotEqual', lambda a, b: a != b),
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'logical_or': ('LogicalOr', lambda a, b: bool(a) or bool(b)),
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'logical_and': ('LogicalAnd', lambda a, b: bool(a) and bool(b)),
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'logical_xor': ('LogicalXor', lambda a, b: bool(a) ^ bool(b)),
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'log': ('Log', lambda x: np.log(x)),
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}
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super().__init__(graph, {
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'type': __class__.op,
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'op': operations[attrs['operation']][0],
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'infer': lambda node: eltwise_infer(node, operations[node.operation][1]),
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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 ['operation']
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