forked from huawei/mindspore2022
43 lines
1.7 KiB
C++
43 lines
1.7 KiB
C++
/**
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* Copyright 2019 Huawei Technologies Co., Ltd
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*
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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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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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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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#include "pipeline/static_analysis/prim.h"
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#include "operator/ops.h"
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#include "pipeline/static_analysis/utils.h"
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#include "pipeline/static_analysis/param_validator.h"
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#include "common/utils.h"
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namespace mindspore {
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namespace abstract {
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AbstractBasePtr InferImplMinOrMaxGrad(const AnalysisEnginePtr &, const PrimitivePtr &primitive,
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const AbstractBasePtrList &args_spec_list) {
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// Inputs: three tensors.
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const std::string op_name = primitive->name();
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CheckArgsSize(op_name, args_spec_list, 3);
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auto input_x = CheckArg<AbstractTensor>(op_name, args_spec_list, 0);
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auto input_y = CheckArg<AbstractTensor>(op_name, args_spec_list, 1);
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auto dout = CheckArg<AbstractTensor>(op_name, args_spec_list, 2);
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(void)CheckTensorsDTypeSame({input_x, input_y, dout}, {kInt, kUInt, kFloat},
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op_name + "evaluator three inputs should be %s");
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AbstractBasePtr dx = input_x->Broaden();
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AbstractBasePtr dy = input_y->Broaden();
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return std::make_shared<AbstractTuple>(AbstractBasePtrList({dx, dy}));
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}
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} // namespace abstract
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} // namespace mindspore
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