blob: 7451b763862fb50ae9845f6f1f46d5676f0e9bb3 (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
|
// Copyright (C) 2018 Intel Corporation
//
// SPDX-License-Identifier: Apache-2.0
//
#pragma once
#include <description_buffer.hpp>
#include <ie_layer_validators.hpp>
#include "impl_register.hpp"
#include <ie_layers.h>
#include <map>
#include <memory>
#include <string>
#include <vector>
namespace InferenceEngine {
namespace ShapeInfer {
/**
*@brief Implementation of Shape inference for Upsampling layer
*/
class UpsamplingShapeProp : public BuiltInShapeInferImpl {
public:
explicit UpsamplingShapeProp(const std::string& type) : BuiltInShapeInferImpl(type) {}
void inferShapesImpl(const std::vector<SizeVector>& inShapes,
const std::map<std::string, std::string>& params,
const std::map<std::string, Blob::Ptr>& blobs,
std::vector<SizeVector>& outShapes) override {
LayerParams lp{};
CNNLayer cnnLayer(lp);
cnnLayer.params = params;
cnnLayer.type = _type;
validate(&cnnLayer, inShapes, params, blobs);
size_t scale = static_cast<size_t>(cnnLayer.GetParamAsInt("scale"));
outShapes.push_back({inShapes[0][0], inShapes[0][1], inShapes[0][2] * scale, inShapes[0][3] * scale});
}
};
} // namespace ShapeInfer
} // namespace InferenceEngine
|
