# Copyright 2020-2021 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 LogSoftmax""" from mindspore._extends.graph_kernel.model.model import DataFormat as DF from ._utils import Expander, ExpanderInfoValidator as VLD @VLD.add_format(DF.DEFAULT) @VLD.check_attrs('axis') class LogSoftmax(Expander): """LogSoftmax expander""" def _expand(self, graph_builder): input_x = self.inputs[0] axis = self.attrs['axis'] processor = self.processor if isinstance(axis, int): axis = (axis,) ori_dtype = input_x.dtype if ori_dtype != "float16" and processor == "aicore": input_x_f16 = graph_builder.emit('Cast', [input_x], attrs={'dst_type': 'float16'}) max_x_f16 = graph_builder.emit('ReduceMax', [input_x_f16], attrs={'reduce_axis': axis, 'keep_dims': True}) max_x = graph_builder.emit('Cast', [max_x_f16], attrs={'dst_type': ori_dtype}) else: 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}) log_expsum = graph_builder.emit('Log', [data_expsum]) result = graph_builder.emit('Sub', [data_sub, log_expsum]) return result