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- # 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 GkDropOut"""
- from mindspore._extends.graph_kernel.model import model_builder as builder
-
-
- def expand_gkdropout(expand_info):
- """GkDropOut expander"""
- # get op info.
- input_desc = expand_info['input_desc'][0]
- maks_desc = expand_info['input_desc'][1]
- keep_prob = None
- for attr in expand_info['attr']:
- if 'keep_prob' in attr:
- keep_prob = attr['keep_prob']
- if keep_prob is None:
- raise RuntimeError("keep_prob does not exist in attrs.")
- # generate a graph.
- graph_builder = builder.GraphBuilder()
- 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'])
- input_mask = graph_builder.tensor(maks_desc['shape'], maks_desc['data_type'], maks_desc['format'])
- graph_scope.set_input(input_x, input_mask)
- keep_prob_v = graph_builder.value(input_x.dtype, keep_prob, "DefaultFormat")
- r_keep_prob = graph_builder.value(input_x.dtype, 1.0 / keep_prob, "DefaultFormat")
-
- mask = graph_builder.emit('LessEqual', [input_mask, keep_prob_v])
- mask = graph_builder.emit('Cast', [mask], attrs={'dst_type': input_x.dtype})
-
- # compute result
- result = graph_builder.emit('Mul', [r_keep_prob, input_x])
- result = graph_builder.emit('Mul', [result, mask])
- # set graph output.
- graph_scope.set_output(result, mask)
- graph = graph_builder.get()[0]
- return graph
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