inference-engine/src/inference_engine/shape_infer/built-in/ie_gemm_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 <map>
  10 #include <memory>
  11 #include <string>
  12 #include <vector>
  13 #include <debug.h>
  14 #include <cmath>
  15 #include <algorithm>
  16
  17 namespace InferenceEngine {
  18 namespace ShapeInfer {
  19
  20 /**
  21  *@brief Implementation of Shape inference for Gemm layer
  22  */
  23 class GemmShapeProp : public BuiltInShapeInferImpl {
  24 public:
  25     explicit GemmShapeProp(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         // TODO: primitive does not support 5D tensor yet
  32         LayerParams lp{};
  33         GemmLayer gemmLayer(lp);
  34         gemmLayer.params = params;
  35         gemmLayer.type = _type;
  36         validate(&gemmLayer, inBlobs, params, blobs);
  37
  38         auto dims0 = inShapes[0];
  39         auto dims1 = inShapes[1];
  40
  41         SizeVector shapes;
  42         for (int idx = 0; idx < dims0.size() - 2; idx++) {
  43             unsigned long max_dim = dims0[idx] > dims1[idx] ? dims0[idx] : dims1[idx];
  44
  45             if (inShapes.size() == 3) {
  46                 auto dims2 = inShapes[2];
  47                 max_dim = max_dim > dims2[idx] ? max_dim : dims2[idx];
  48             }
  49
  50             shapes.push_back(max_dim);
  51         }
  52
  53         unsigned long xAxis = dims0.size() - 1;
  54         unsigned long yAxis = dims0.size() - 2;
  55
  56         shapes.push_back(dims0[yAxis]);
  57         shapes.push_back(dims1[xAxis]);
  58         outShapes.push_back(shapes);
  59     }
  60 };
  61
  62 }  // namespace ShapeInfer
  63 }  // namespace InferenceEngine