inference-engine/src/inference_engine/shape_infer/built-in/ie_flatten_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 #include <debug.h>
  15 #include <functional>
  16
  17 namespace InferenceEngine {
  18 namespace ShapeInfer {
  19
  20 /**
  21  *@brief Implementation of Shape inference for Reshape layer
  22  */
  23 class FlattenShapeProp : public BuiltInShapeInferImpl {
  24 public:
  25     explicit FlattenShapeProp(const std::string &type) : BuiltInShapeInferImpl(type) {}
  26
  27     void inferShapesImpl(const std::vector<Blob::CPtr>& inBlobs,
  28                          const std::map<std::string, std::string>& params,
  29                          const std::map<std::string, Blob::Ptr>& blobs,
  30                          std::vector<SizeVector>& outShapes) override {
  31         LayerParams lp{};
  32         ReshapeLayer reshapeLayer(lp);
  33         reshapeLayer.params = params;
  34         reshapeLayer.type = _type;
  35         validate(&reshapeLayer, inBlobs, params, blobs);
  36
  37         auto inputShape = inShapes[0];
  38         size_t inputShapeTotal = std::accumulate(inputShape.begin(), inputShape.end(), 1lu, std::multiplies<size_t>());
  39         SizeVector outShape;
  40
  41         int numAxes = reshapeLayer.num_axes;
  42         int axis = reshapeLayer.axis;
  43         size_t notFlatten = 1;
  44         if (numAxes == -1 && axis == 0) {
  45             outShape = {inputShapeTotal};
  46         } else {
  47             if (axis > 0) {
  48                 for (int i = 0; i < axis; i++) {
  49                     notFlatten *= inputShape[i];
  50                     outShape.push_back(inputShape[i]);
  51                 }
  52             }
  53             outShape.push_back(1);
  54             if (numAxes > 0) {
  55                 for (int i = numAxes + 1; i < inputShape.size(); i++) {
  56                     notFlatten *= inputShape[i];
  57                     outShape.push_back(inputShape[i]);
  58                 }
  59             }
  60             outShape[axis] = inputShapeTotal / notFlatten;
  61         }
  62
  63         outShapes.emplace_back(outShape);
  64     }
  65 };
  66
  67 }  // namespace ShapeInfer
  68 }  // namespace InferenceEngine