94 lines
2.8 KiB
Python
94 lines
2.8 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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from mo.front.common.partial_infer.elemental import copy_shape_infer
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from mo.graph.graph import Node, Graph
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from mo.ops.op import Op, PermuteAttrs
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class Softmax(Op):
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op = 'SoftMax'
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enabled = False
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def __init__(self, graph: Graph, attrs: dict):
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super().__init__(graph, {
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'type': __class__.op,
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'op': __class__.op,
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'version': 'opset1',
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'infer': Softmax.infer,
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'axis': 1,
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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 ['axis']
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@staticmethod
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def infer(node: Node):
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if node.axis < 0:
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node.axis = len(node.in_node().shape) + node.axis
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copy_shape_infer(node)
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PermuteAttrs.create_permute_attrs(node, attrs=[('axis', 'input:0')])
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class SoftmaxONNX(Op):
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op = 'SoftMaxONNX'
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enabled = False
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def __init__(self, graph: Graph, attrs: dict):
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super().__init__(graph, {
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'infer': None,
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'axis': 1,
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'type': None, # this operation will be replaced with a
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# Reshape(Softmax(Flatten(x, axis), -1), x.shape) sub-graph
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'op': __class__.op,
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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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class LogSoftmax(Op):
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op = 'LogSoftmax'
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enabled = False
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def __init__(self, graph: Graph, attrs: dict):
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super().__init__(graph, {
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'infer': None,
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'kind': 'op',
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'axis': 1,
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'type': None, # the operation will be replaced with a x - Log(ReduceSum(Exp(x), axis)) sub-graph
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'op': __class__.op,
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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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class LogSoftmaxONNX(Op):
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op = 'LogSoftmaxONNX'
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enabled = False
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def __init__(self, graph: Graph, attrs: dict):
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super().__init__(graph, {
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'infer': None,
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'kind': 'op',
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'axis': 1,
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'type': None, # the operation will be replaced with a
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# Reshape(LogSoftmax(FlattenONNX(x, axis), 1), x.shape) sub-graph
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'op': __class__.op,
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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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