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

   1 // Copyright (C) 2018 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 ArgMax layer
  20  */
  21 class ArgMaxShapeProp : public BuiltInShapeInferImpl {
  22 public:
  23     explicit ArgMaxShapeProp(const std::string& type) : BuiltInShapeInferImpl(type) {}
  24
  25     void inferShapesImpl(const std::vector<SizeVector>& inShapes,
  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, inShapes, params, blobs);
  34         auto out_max_val = static_cast<size_t>(cnnLayer.GetParamAsInt("out_max_val", 0));
  35         auto top_k = static_cast<size_t>(cnnLayer.GetParamAsInt("top_k", 0));
  36         int axis = 0;
  37         bool isValidAxis = true;
  38         try {
  39             axis = cnnLayer.GetParamAsInt("axis");
  40         } catch(const details::InferenceEngineException &exception) {
  41             isValidAxis = false;
  42         }
  43
  44         auto firstInputShape = inShapes[0];
  45         size_t num_top_axes = firstInputShape.size();
  46         if (num_top_axes < 3) num_top_axes = 3;
  47
  48         SizeVector outputShape(num_top_axes, 1);
  49         if (isValidAxis) {
  50             if (axis < 0) {
  51                 axis = static_cast<int>(firstInputShape.size() + axis);
  52             }
  53             outputShape = firstInputShape;
  54             outputShape[axis] = top_k;
  55         } else {
  56             outputShape[0] = firstInputShape[0];
  57             outputShape[2] = top_k;
  58             if (out_max_val) {
  59                 outputShape[1] = 2;
  60             }
  61         }
  62         outShapes.push_back(outputShape);
  63     }
  64 };
  65
  66 }  // namespace ShapeInfer
  67 }  // namespace InferenceEngine