|
- # Copyright 2020 Huawei Technologies Co., Ltd
- #
- # 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.
- # ===========================================================================
- """generate json desc for softmax"""
- from mindspore._extends.graph_kernel.model import model_builder as builder
-
-
- def expand_softmax(expand_info):
- """Softmax expander"""
- # get op info.
- input_desc = expand_info['input_desc'][0]
- attrs = expand_info['attr']
- axis = None
- for item in attrs:
- if 'axis' in item:
- axis = item['axis']
- graph_builder = builder.GraphBuilder()
-
- # generate a graph.
- with graph_builder.graph_scope('main') as graph_scope:
- # create tensor input.
- input_x = graph_builder.tensor(input_desc['shape'], input_desc['data_type'], input_desc['format'])
- # cal softmax.
- max_x = graph_builder.emit('ReduceMax', [input_x], attrs={'reduce_axis': axis, 'keep_dims': True})
- data_sub = graph_builder.emit('Sub', [input_x, max_x])
- data_exp = graph_builder.emit('Exp', [data_sub])
- data_expsum = graph_builder.emit('ReduceSum', [data_exp], attrs={'reduce_axis': axis, 'keep_dims': True})
- result = graph_builder.emit('RealDiv', [data_exp, data_expsum])
- # set graph output.
- graph_scope.set_output(result)
-
- graph = graph_builder.get()[0]
- return graph
|
