forked from huawei/mindspore2022
98 lines
3.8 KiB
C++
98 lines
3.8 KiB
C++
/**
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* Copyright 2021 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 "ops/getnext.h"
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#include <set>
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#include <string>
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#include <vector>
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#include <memory>
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#include <algorithm>
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#include "ops/op_utils.h"
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#include "utils/check_convert_utils.h"
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#include "utils/tensor_construct_utils.h"
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#include "abstract/primitive_infer_map.h"
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namespace mindspore {
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namespace ops {
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namespace {
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void GetShapeVector(const ValuePtr &shape_attr, std::vector<std::vector<int64_t>> *shape_vec) {
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if (shape_attr == nullptr) {
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return;
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}
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std::vector<ValuePtr> shape = shape_attr->isa<ValueTuple>() ? shape_attr->cast<ValueTuplePtr>()->value()
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: shape_attr->cast<ValueListPtr>()->value();
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for (ValuePtr shape_elements : shape) {
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std::vector<ValuePtr> shape_elements_list = shape_elements->isa<ValueTuple>()
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? shape_elements->cast<ValueTuplePtr>()->value()
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: shape_elements->cast<ValueListPtr>()->value();
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std::vector<int64_t> shape_vec_item;
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(void)std::transform(std::begin(shape_elements_list), std::end(shape_elements_list),
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std::back_inserter(shape_vec_item),
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[](const ValuePtr &e) -> int64_t { return GetValue<int64_t>(e); });
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shape_vec->push_back(shape_vec_item);
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}
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}
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bool IsDynamic(const std::vector<ShapeVector> &shape) {
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for (auto shape_vec : shape) {
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if (std::find(shape_vec.begin(), shape_vec.end(), -1) != shape_vec.end()) {
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return true;
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}
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}
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return false;
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}
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abstract::AbstractBasePtr GetnextInferShape(const PrimitivePtr &primitive,
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const std::vector<AbstractBasePtr> &input_args) {
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MS_EXCEPTION_IF_NULL(primitive);
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auto types = GetValue<std::vector<TypePtr>>(primitive->GetAttr("types"));
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ValuePtr shape_attr = primitive->GetAttr("shapes");
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ValuePtr min_shape_attr = primitive->GetAttr("min_shapes");
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ValuePtr max_shape_attr = primitive->GetAttr("max_shapes");
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std::vector<ShapeVector> shape;
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std::vector<ShapeVector> min_shape;
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std::vector<ShapeVector> max_shape;
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GetShapeVector(shape_attr, &shape);
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GetShapeVector(min_shape_attr, &min_shape);
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GetShapeVector(max_shape_attr, &max_shape);
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bool is_dynamic = IsDynamic(shape);
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AbstractBasePtrList output;
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for (size_t i = 0; i < shape.size(); ++i) {
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auto ret_shape = !min_shape.empty() && !max_shape.empty() && is_dynamic
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? std::make_shared<abstract::Shape>(shape[i], min_shape[i], max_shape[i])
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: std::make_shared<abstract::Shape>(shape[i]);
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auto element = std::make_shared<abstract::AbstractScalar>(kAnyValue, types[i]);
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auto tensor = std::make_shared<abstract::AbstractTensor>(element, ret_shape);
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output.push_back(tensor);
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}
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return std::make_shared<abstract::AbstractTuple>(output);
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}
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} // namespace
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AbstractBasePtr GetNextInfer(const abstract::AnalysisEnginePtr &, const PrimitivePtr &primitive,
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const std::vector<AbstractBasePtr> &input_args) {
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return GetnextInferShape(primitive, input_args);
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}
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REGISTER_PRIMITIVE_EVAL_IMPL(GetNext, prim::kPrimGetNext, GetNextInfer, nullptr, true);
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} // namespace ops
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} // namespace mindspore
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