inference-engine/src/inference_engine/shape_infer/built-in/ie_rnn_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
  14 namespace InferenceEngine {
  15 namespace ShapeInfer {
  16
  17 /**
  18  *@brief Implementation of Shape inference for DetectionOutput layer
  19  */
  20 class RNNShapeProp : public BuiltInShapeInferImpl {
  21 public:
  22     explicit RNNShapeProp(const std::string& type) : BuiltInShapeInferImpl(type) {}
  23
  24     void inferShapesImpl(const std::vector<Blob::CPtr>& inBlobs,
  25                          const std::map<std::string, std::string>& params,
  26                          const std::map<std::string, Blob::Ptr>& blobs,
  27                          std::vector<SizeVector>& outShapes) override {
  28         LayerParams lp{};
  29         RNNSequenceLayer rnn(lp);
  30         rnn.params = params;
  31         rnn.type = _type;
  32         rnn.precision = Precision::FP32;   // FIXME: No ability to discover current precision. Assume fp32
  33         validate(&rnn, inBlobs, params, blobs);
  34
  35         int state_size = rnn.hidden_size;
  36
  37         auto data_dims = inShapes[0];
  38         data_dims[2] = static_cast<size_t>(state_size);
  39         outShapes.push_back(data_dims);
  40
  41         for (int i = 1; i < inShapes.size(); i++) {
  42             outShapes.push_back(inShapes[i]);
  43         }
  44     }
  45 };
  46
  47 }  // namespace ShapeInfer
  48 }  // namespace InferenceEngine