48 lines
1.5 KiB
Python
48 lines
1.5 KiB
Python
"""
|
|
Copyright (c) 2019 Intel Corporation
|
|
|
|
Licensed under the Apache License, Version 2.0 (the "License");
|
|
you may not use this file except in compliance with the License.
|
|
You may obtain a copy of the License at
|
|
|
|
http://www.apache.org/licenses/LICENSE-2.0
|
|
|
|
Unless required by applicable law or agreed to in writing, software
|
|
distributed under the License is distributed on an "AS IS" BASIS,
|
|
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
See the License for the specific language governing permissions and
|
|
limitations under the License.
|
|
"""
|
|
|
|
import logging as log
|
|
import networkx as nx
|
|
import numpy as np
|
|
|
|
from mo.front.caffe.extractors.utils import get_canonical_axis_index
|
|
from mo.graph.graph import Node, Graph
|
|
from mo.ops.op import Op, PermuteAttrs
|
|
|
|
|
|
class ExpOp(Op):
|
|
op = 'Exp'
|
|
|
|
def __init__(self, graph: Graph, attrs: dict):
|
|
mandatory_props = {
|
|
'type': __class__.op,
|
|
'op': __class__.op,
|
|
'infer': __class__.infer,
|
|
'in_ports_count': 1,
|
|
'out_ports_count': 1,
|
|
}
|
|
super().__init__(graph, mandatory_props, attrs)
|
|
|
|
@staticmethod
|
|
def infer(node: Node):
|
|
assert len(node.in_nodes()) == 1
|
|
assert len(node.out_nodes()) == 1
|
|
input_node = node.in_node()
|
|
assert input_node.has_valid('shape')
|
|
node.out_node().shape = input_node.shape.copy()
|
|
if input_node.has_valid('value'):
|
|
node.out_node().value = np.exp(input_node.value)
|