forked from huawei/mindspore2022
52 lines
1.7 KiB
C++
52 lines
1.7 KiB
C++
/**
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* Copyright 2020 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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#ifndef MINDSPORE_CORE_OPS_STACK_H_
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#define MINDSPORE_CORE_OPS_STACK_H_
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#include <map>
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#include <vector>
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#include <string>
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#include <memory>
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#include <algorithm>
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#include "ops/base_operator.h"
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#include "mindapi/base/types.h"
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namespace mindspore {
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namespace ops {
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constexpr auto kNameStack = "Stack";
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/// \brief Stacks a list of tensors in specified axis. Refer to Python API @ref mindspore.ops.Tile for more details.
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class MIND_API Stack : public BaseOperator {
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public:
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MIND_API_BASE_MEMBER(Stack);
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/// \brief Constructor.
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Stack() : BaseOperator(kNameStack) {}
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/// \brief Init. Refer to the parameters of Python API @ref mindspore.ops.Stack for the inputs.
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void Init(const int64_t axis);
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/// \brief Set axis.
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void set_axis(const int64_t axis);
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/// \brief Get axis.
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///
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/// \return axis.
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int64_t get_axis() const;
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};
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abstract::AbstractBasePtr StackInfer(const abstract::AnalysisEnginePtr &, const PrimitivePtr &primitive,
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const std::vector<abstract::AbstractBasePtr> &input_args);
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} // namespace ops
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} // namespace mindspore
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#endif // MINDSPORE_CORE_OPS_STACK_H_
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