Publishing 2019 R1 content
[platform/upstream/dldt.git] / inference-engine / src / inference_engine / shape_infer / built-in / ie_fill_shape_infer.hpp
1 // Copyright (C) 2019 Intel Corporation
2 // SPDX-License-Identifier: Apache-2.0
3 //
4
5 #pragma once
6
7 #include "ie_built_in_impl.hpp"
8 #include <map>
9 #include <memory>
10 #include <string>
11 #include <vector>
12
13 namespace InferenceEngine {
14 namespace ShapeInfer {
15
16 /**
17  *@brief Implementation of Shape inference for Fill layer
18  */
19 class FillShapeProp : public BuiltInShapeInferImpl {
20 public:
21     explicit FillShapeProp(const std::string& type) : BuiltInShapeInferImpl(type) {}
22
23     void inferShapesImpl(const std::vector<Blob::CPtr>& inBlobs,
24                          const std::map<std::string, std::string>& params,
25                          const std::map<std::string, Blob::Ptr>& blobs,
26                          std::vector<SizeVector>& outShapes) override {
27         LayerParams lp{};
28         FillLayer fillLayer(lp);
29         fillLayer.params = params;
30         fillLayer.type = _type;
31         validate(&fillLayer, inBlobs, params, blobs);
32
33         auto dimsBlob = *inBlobs.begin();
34         SizeVector shape;
35         SizeVector dims = dimsBlob->getTensorDesc().getDims();
36         auto* buffer = dimsBlob->cbuffer().as<int32_t*>();
37         if (!buffer || dimsBlob->getTensorDesc().getPrecision() != Precision::I32)
38             THROW_IE_EXCEPTION << " Fill dimensions vector should be I32!";
39
40         for (int i = 0; i < dimsBlob->size(); i++) {
41             shape.push_back(buffer[i]);
42         }
43         outShapes = {shape};
44     }
45 };
46
47 }  // namespace ShapeInfer
48 }  // namespace InferenceEngine
49