inference-engine/src/inference_engine/shape_infer/built-in/ie_roi_pooling_shape_infer.hpp

   1 // Copyright (C) 2018-2019 Intel Corporation
   2 // SPDX-License-Identifier: Apache-2.0
   3 //
   4
   5 #pragma once
   6
   7 #include <description_buffer.hpp>
   8 #include "ie_built_in_impl.hpp"
   9 #include <ie_layers.h>
  10 #include <map>
  11 #include <memory>
  12 #include <string>
  13 #include <vector>
  14
  15 namespace InferenceEngine {
  16 namespace ShapeInfer {
  17
  18 /**
  19  *@brief Implementation of Shape inference for RoiPooling layer
  20  */
  21 class RoiPoolingShapeProp : public BuiltInShapeInferImpl {
  22 public:
  23     explicit RoiPoolingShapeProp(const std::string& type) : BuiltInShapeInferImpl(type) {}
  24
  25     void inferShapesImpl(const std::vector<Blob::CPtr>& inBlobs,
  26                          const std::map<std::string, std::string>& params,
  27                          const std::map<std::string, Blob::Ptr>& blobs,
  28                          std::vector<SizeVector>& outShapes) override {
  29         LayerParams lp{};
  30         CNNLayer cnnLayer(lp);
  31         cnnLayer.params = params;
  32         cnnLayer.type = _type;
  33         validate(&cnnLayer, inBlobs, params, blobs);
  34
  35         SizeVector out_shapes = {inShapes[1][0], inShapes[0][1]};
  36         for (auto attr : {"pooled_d", "pooled_h", "pooled_w"}) {  // desired IR format: pooled="...,d,h,w"
  37             int pooled = cnnLayer.GetParamAsInt(attr, -1);
  38             if (pooled >= 0) {
  39                 out_shapes.push_back(static_cast<size_t>(pooled));
  40             }
  41         }
  42         outShapes.push_back(out_shapes);
  43     }
  44 };
  45
  46 }  // namespace ShapeInfer
  47 }  // namespace InferenceEngine