inference-engine/thirdparty/clDNN/src/include/fused_conv_eltwise_inst.h

   1 /*
   2 // Copyright (c) 2016 Intel Corporation
   3 //
   4 // Licensed under the Apache License, Version 2.0 (the "License");
   5 // you may not use this file except in compliance with the License.
   6 // You may obtain a copy of the License at
   7 //
   8 //      http://www.apache.org/licenses/LICENSE-2.0
   9 //
  10 // Unless required by applicable law or agreed to in writing, software
  11 // distributed under the License is distributed on an "AS IS" BASIS,
  12 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  13 // See the License for the specific language governing permissions and
  14 // limitations under the License.
  15 */
  16
  17 ///////////////////////////////////////////////////////////////////////////////////////////////////
  18 #pragma once
  19 #include "api_extension/CPP/fused_conv_eltwise.hpp"
  20 #include "primitive_inst.h"
  21
  22 #include <memory>
  23
  24 namespace cldnn
  25 {
  26
  27 template <>
  28 struct typed_program_node<fused_conv_eltwise> : public typed_program_node_base<fused_conv_eltwise>
  29 {
  30     using parent = typed_program_node_base<fused_conv_eltwise>;
  31
  32 public:
  33     typed_program_node(std::shared_ptr<primitive> prim, program_impl& prog)
  34         : parent(prim, prog)
  35         , split(this->get_primitive()->split())
  36         , depthwise_sep_opt(false)
  37         , transposed(false)
  38         , conv_input_qf(this->get_primitive()->conv.input_quantization_factor)
  39         , conv_output_qf(this->get_primitive()->conv.output_quantization_factor)
  40     {
  41     }
  42
  43     void set_split(int32_t node_split) { split = node_split; }
  44     int32_t get_split() const { return split; }
  45
  46     void set_depthwise_sep_opt(bool node_depthwise_sep_opt) { depthwise_sep_opt = node_depthwise_sep_opt; }
  47     bool get_depthwise_sep_opt() const { return depthwise_sep_opt; }
  48
  49     void set_transposed(bool node_transposed) { transposed = node_transposed; }
  50     bool get_transposed() const { return transposed; }
  51
  52     program_node& input(size_t idx = 0) const
  53     {
  54         if (static_cast<int32_t>(idx) >= static_cast<int32_t>(desc->input.size()))
  55             throw std::range_error("input index too big");
  56
  57         return get_dependency(idx);
  58     }
  59
  60     program_node& weights(size_t idx = 0) const
  61     {
  62         if (static_cast<int32_t>(idx) >= this->get_split())
  63             throw std::range_error("weights offset too big");
  64
  65         return get_dependency(desc->input.size() + idx);
  66     }
  67
  68     program_node& bias(size_t idx = 0) const
  69     {
  70         if (static_cast<int32_t>(idx) >= this->get_split())
  71             throw std::range_error("bias offset too big");
  72
  73         return get_dependency(desc->input.size() + this->get_split() + idx);
  74     }
  75
  76     program_node& weights_quantization_factors(size_t idx = 0) const
  77     {
  78         if (static_cast<int32_t>(idx) >= this->get_split())
  79             throw std::range_error("quantization factor offset too big");
  80
  81         return get_dependency(desc->input.size() + 2 * this->get_split() + idx);
  82     }
  83
  84     program_node& conv_output_calibration_factors(size_t idx = 0) const
  85     {
  86         if (static_cast<int32_t>(idx) >= this->get_split())
  87             throw std::range_error("calibration factor offset too big");
  88
  89         return get_dependency(desc->input.size() + 3 * this->get_split() + idx);
  90     }
  91
  92     program_node& eltw_output_calibration_factors() const
  93     {
  94         return get_dependency(desc->input.size() + 4 * this->get_split());
  95     }
  96
  97     bool bias_term() const
  98     {
  99         return get_primitive()->conv.bias.size() > 0;
 100     }
 101
 102     bool weights_quantization_term() const
 103     {
 104         return get_primitive()->conv.weights_quantization_factors.size() > 0;
 105     }
 106
 107     bool conv_output_calibration_term() const
 108     {
 109         return get_primitive()->conv.output_calibration_factors.size() > 0;
 110     }
 111
 112     bool eltw_output_calibration_term() const
 113     {
 114         return get_primitive()->eltw.output_calibration_factors.size() > 0;
 115     }
 116
 117     float get_conv_input_qf() const { return conv_input_qf; }
 118     float get_conv_output_qf() const { return conv_output_qf; }
 119     float get_eltw_output_qf() const { return eltw_output_qf; }
 120
 121 private:
 122     int32_t split;
 123     bool depthwise_sep_opt;
 124     bool transposed;
 125     float conv_input_qf;
 126     float conv_output_qf;
 127     float eltw_output_qf;
 128 };
 129
 130 using fused_conv_eltwise_node = typed_program_node<fused_conv_eltwise>;
 131
 132 template <>
 133 class typed_primitive_inst<fused_conv_eltwise> : public typed_primitive_inst_base<fused_conv_eltwise>
 134 {
 135     using parent = typed_primitive_inst_base<fused_conv_eltwise>;
 136
 137 public:
 138     static layout calc_output_layout(fused_conv_eltwise_node const& node);
 139     static std::string to_string(fused_conv_eltwise_node const& node);
 140
 141 public:
 142     typed_primitive_inst(network_impl& network, fused_conv_eltwise_node const& node);
 143
 144     memory_impl& weights_memory(size_t index) const
 145     {
 146         if (static_cast<int32_t>(index) >= node.get_split())
 147             throw std::range_error("weights offset too big");
 148
 149         return dep_memory(2 + index);
 150     }
 151
 152     memory_impl& bias_memory(size_t index) const
 153     {
 154         if (static_cast<int32_t>(index) >= node.get_split())
 155             throw std::range_error("bias offset too big");
 156
 157         return dep_memory(2 + node.get_split() + index);
 158     }
 159
 160     memory_impl& weights_quantization_factors_memory(size_t index) const
 161     {
 162         if (static_cast<int32_t>(index) >= node.get_split())
 163             throw std::range_error("quantization factors offset too big");
 164
 165         return dep_memory(2 + 2*node.get_split() + index);
 166     }
 167
 168     memory_impl& output_calibration_factors_memory(size_t index) const
 169     {
 170         if (static_cast<int32_t>(index) >= node.get_split())
 171             throw std::range_error("quantization factors offset too big");
 172
 173         return dep_memory(2 + 3 * node.get_split() + index);
 174     }
 175
 176     memory_impl& eltw_output_calibration_factors_memory() const
 177     {
 178         return dep_memory(2 + 4 * node.get_split());
 179     }
 180
 181     bool bias_term() const
 182     {
 183         return node.bias_term();
 184     }
 185
 186     bool weights_quantization_factors_term() const
 187     {
 188         return node.weights_quantization_term();
 189     }
 190
 191     bool conv_output_calibration_factors_term() const
 192     {
 193         return node.conv_output_calibration_term();
 194     }
 195
 196     bool eltw_output_calibration_factors_term() const
 197     {
 198         return node.eltw_output_calibration_term();
 199     }
 200 };
 201
 202 using fused_conv_eltwise_inst = typed_primitive_inst<fused_conv_eltwise>;
 203
 204 }