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/*
* Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
*
* 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.
*/
#ifndef __ONERT_GRAPH_SHAPE_INFERENCE_H__
#define __ONERT_GRAPH_SHAPE_INFERENCE_H__
#include "ir/operation/AvgPool2D.h"
#include "ir/operation/Concat.h"
#include "ir/operation/MaxPool2D.h"
#include "ir/operation/Conv2D.h"
#include "ir/operation/DepthwiseConv2D.h"
#include "ir/operation/Reshape.h"
#include "ir/Operands.h"
#include "ir/Index.h"
#include "ir/Layout.h"
#include "ir/OperationVisitor.h"
namespace onert
{
namespace shape_inference
{
using Shapes = std::vector<ir::Shape>;
Shapes inferEltwiseShape(const ir::Shape &lhs_shape, const ir::Shape &rhs_shape);
Shapes inferAvgPoolShape(const ir::Shape &in_shape, const ir::operation::AvgPool2D::Param ¶m,
ir::Layout layout = ir::Layout::NHWC);
Shapes inferConcatShape(const Shapes &in_shapes, const ir::operation::Concat::Param ¶m);
Shapes inferMaxPoolShape(const ir::Shape &in_shape, const ir::operation::MaxPool2D::Param ¶m,
ir::Layout layout = ir::Layout::NHWC);
Shapes inferConv2DShape(const ir::Shape &in_shape, const ir::Shape &ker_shape,
const ir::operation::Conv2D::Param ¶m,
ir::Layout layout = ir::Layout::NHWC);
Shapes inferDepthwiseConv2DShape(const ir::Shape &in_shape, const ir::Shape &ker_shape,
const ir::operation::DepthwiseConv2D::Param ¶m,
ir::Layout layout = ir::Layout::NHWC);
Shapes inferFullyConnectedShape(const ir::Shape &in_shape, const ir::Shape &ker_shape);
/**
* @brief Class to infer shape before running kernels. It does the following:
* - re-calculate and set output shape at compile time (before running kernels)
* - if calculation cannot be done at compile time, mark the outputs to be dynamic, meaning
* shapes of outputs will be calculated during running kernels
*/
class StaticInferer : public ir::OperationVisitor
{
public:
StaticInferer(ir::Operands &operands) : _operands(operands) { /* empty */}
virtual ~StaticInferer() = default;
public:
/**
* @brief Infer shape of operands beloning to ops and set the output shape.
* If output shape cannot be known without running op, mark it so that it can be allocated
* when running kernel.
* @param op_seq sequence of operations
*/
void infer(const ir::OpSequence &op_seq) { op_seq.accept(*this); };
private:
// TODO Define visitors for operations. List them in alphabetic order.
void visit(const ir::operation::Reshape &op);
private:
ir::Operands &_operands;
};
} // namespace shape_inference
} // namespace onert
#endif // __ONERT_GRAPH_SHAPE_INFERENCE_H__
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