inference-engine/src/inference_engine/shape_infer/built-in/ie_reshape_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 "precision_utils.h"
  10 #include <ie_layers.h>
  11 #include <map>
  12 #include <memory>
  13 #include <string>
  14 #include <vector>
  15 #include <debug.h>
  16 #include <functional>
  17
  18 namespace InferenceEngine {
  19 namespace ShapeInfer {
  20
  21 /**
  22  *@brief Implementation of Shape inference for Reshape layer
  23  */
  24 class ReshapeShapeProp : public BuiltInShapeInferImpl {
  25 public:
  26     explicit ReshapeShapeProp(const std::string& type) : BuiltInShapeInferImpl(type) {}
  27
  28     void inferShapesImpl(const std::vector<Blob::CPtr>& inBlobs,
  29                          const std::map<std::string, std::string>& params,
  30                          const std::map<std::string, Blob::Ptr>& blobs,
  31                          std::vector<SizeVector>& outShapes) override {
  32         LayerParams lp{};
  33         ReshapeLayer reshapeLayer(lp);
  34         reshapeLayer.params = params;
  35         reshapeLayer.type = _type;
  36         validate(&reshapeLayer, inBlobs, params, blobs);
  37
  38         SizeVector outShape;
  39         std::vector<int> reshapeMask;
  40         if (inBlobs.size() == 2) {
  41             if (inBlobs[1]->precision() == Precision::FP32) {
  42                 auto* buffer = inBlobs[1]->cbuffer().as<float*>();
  43                 if (buffer != nullptr) {
  44                     for (int i = 0; i < inBlobs[1]->size(); i++) {
  45                         reshapeMask.push_back(static_cast<int>(buffer[i]));
  46                     }
  47                 } else {
  48                     THROW_IE_EXCEPTION << "Second input must have allocated data";
  49                 }
  50             } else if (inBlobs[1]->precision() == Precision::FP16) {
  51                 auto* buffer = inBlobs[1]->cbuffer().as<uint16_t*>();
  52                 if (buffer != nullptr) {
  53                     for (int i = 0; i < inBlobs[1]->size(); i++) {
  54                         reshapeMask.push_back(static_cast<int>(PrecisionUtils::f16tof32(buffer[i])));
  55                     }
  56                 } else {
  57                     THROW_IE_EXCEPTION << "Second input must have allocated data";
  58                 }
  59             } else {
  60                 THROW_IE_EXCEPTION << "Second input has unsupported precision";
  61             }
  62         } else {
  63             reshapeMask = reshapeLayer.shape;
  64         }
  65         auto inputShape = inShapes[0];
  66         size_t inputShapeTotal = std::accumulate(inputShape.begin(), inputShape.end(), 1lu,
  67                                                  std::multiplies<size_t>());
  68
  69         if (reshapeMask.empty()) {
  70             outShape = {inputShapeTotal};
  71         } else {
  72             size_t res = 1;
  73             for (int i = 0; i < reshapeMask.size(); i++) {
  74                 if (reshapeMask[i] == 0) {
  75                     res *= inputShape[i];
  76                 } else if (reshapeMask[i] != -1) {
  77                     res *= reshapeMask[i];
  78                 }
  79             }
  80             size_t newDim = inputShapeTotal / res;
  81             for (int i = 0; i < reshapeMask.size(); i++) {
  82                 if (reshapeMask[i] == 0) {
  83                     outShape.push_back(inputShape[i]);
  84                 } else if (reshapeMask[i] == -1) {
  85                     outShape.push_back(newDim);
  86                 } else {
  87                     outShape.push_back(reshapeMask[i]);
  88                 }
  89             }
  90             size_t outputShapeTotal = std::accumulate(outShape.begin(), outShape.end(), 1lu,
  91                                                       std::multiplies<size_t>());
  92             if (inputShapeTotal != outputShapeTotal)
  93                 THROW_IE_EXCEPTION << "Invalid reshape mask (dim attribute): number of elements in input: "
  94                                    << details::dumpVec(inputShape) << " and output: " << details::dumpVec(outShape)
  95                                    << " mismatch";
  96         }
  97         outShapes.emplace_back(outShape);
  98     }
  99 };
 100
 101 }  // namespace ShapeInfer
 102 }  // namespace InferenceEngine