forked from huawei/mindspore2022
61 lines
2.1 KiB
C++
61 lines
2.1 KiB
C++
/**
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* Copyright 2021-2022 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 <memory>
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#include <vector>
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#include "common/graph_kernel/expanders/expander_factory.h"
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namespace mindspore::graphkernel::expanders {
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class ExpandDims : public OpDesc {
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public:
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ExpandDims() {
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std::initializer_list<std::string> attrs{"axis"};
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(void)validators_.emplace_back(std::make_unique<CheckAttr>(attrs));
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}
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~ExpandDims() = default;
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static ShapeVector InferShape(const ShapeVector &shape, const std::vector<int64_t> &axis) {
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ShapeVector new_shape = shape;
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for (auto x : axis) {
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int64_t rank = static_cast<int64_t>(new_shape.size());
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if (x > rank || x < -rank - 1) {
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MS_LOG(EXCEPTION) << "ExpandDims attr 'axis' value " << x << " is out of range of [" << (-rank - 1) << ", "
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<< rank << "]";
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}
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if (x >= 0) {
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(void)new_shape.insert(new_shape.begin() + x, 1LL);
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} else {
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(void)new_shape.insert(new_shape.begin() + (x + rank + 1), 1LL);
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}
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}
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return new_shape;
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}
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protected:
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NodePtrList Expand(const NodePtrList &inputs) override {
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const auto &input_x = inputs[0];
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auto target_shape = ExpandDims::InferShape(input_x->shape, GetAxisList(this->attrs_["axis"]));
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auto result = gb.Reshape(input_x, target_shape);
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return {result};
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}
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};
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OP_EXPANDER_REGISTER("ExpandDims", ExpandDims);
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ShapeVector ExpandDimsInferShape(const ShapeVector &shape, const std::vector<int64_t> &axis) {
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return ExpandDims::InferShape(shape, axis);
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}
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} // namespace mindspore::graphkernel::expanders
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