inference-engine/thirdparty/clDNN/src/gpu/lookup_table_gpu.cpp

   1 /*
   2 // Copyright (c) 2018 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 #include "lookup_table_inst.h"
  18 #include "primitive_gpu_base.h"
  19 #include "implementation_map.h"
  20 #include "error_handler.h"
  21 #include "kernel_selector_helper.h"
  22 #include "lookup_table/lookup_table_kernel_selector.h"
  23 #include "lookup_table/lookup_table_kernel_base.h"
  24 #include "kernel_runner.h"
  25
  26 namespace cldnn {
  27     namespace gpu {
  28
  29         struct lookup_table_gpu : typed_primitive_gpu_impl<lookup_table>
  30         {
  31             using parent = typed_primitive_gpu_impl<lookup_table>;
  32             using parent::parent;
  33
  34         protected:
  35
  36             virtual bool validate_impl(const typed_primitive_inst<lookup_table>& instance) const override
  37             {
  38                 bool res = true;
  39
  40                 // Check whether all memory elements use the same unit type (FP16 or FP32).
  41                 CLDNN_ERROR_DATA_TYPES_MISMATCH(_outer.id(), "Input memory", instance.input_memory(1).get_layout().data_type, "output memory", instance.output_memory().get_layout().data_type, "");
  42
  43                 return res;
  44             }
  45
  46             virtual kernel::kernel_arguments_data get_arguments(typed_primitive_inst<lookup_table>& instance, int32_t) const override
  47             {
  48                 kernel::kernel_arguments_data args = parent::get_arguments(instance, 0);
  49
  50                 return args;
  51             }
  52
  53         public:
  54
  55             static primitive_impl* create(const lookup_table_node &arg)
  56             {
  57                 const auto& primitive = arg.get_primitive();
  58                 //const auto& input_layout = arg.input().get_output_layout();
  59
  60                 //const auto& input_size = input_layout.size;
  61
  62                 const auto& axis = primitive->axis;
  63                 const auto& with_axis = primitive->with_axis;
  64
  65                 auto lookt_params = get_default_params<kernel_selector::lookup_table_params>(arg);
  66                 auto lookt_optional_params = get_default_optional_params<kernel_selector::lookup_table_optional_params>(arg.get_program());
  67
  68                 lookt_params.inputIndices = convert_data_tensor(arg.indices().get_output_layout());
  69                 if (with_axis) {
  70                     switch (axis)
  71                     {
  72                     case lookup_table::batch:
  73                         lookt_params.lookUpTableAxis = kernel_selector::lookt_axis::BATCH;
  74                         lookt_params.numberOfValues = (uint32_t)lookt_params.inputIndices.Batch().v;
  75                         break;
  76                     case lookup_table::feature:
  77                         lookt_params.lookUpTableAxis = kernel_selector::lookt_axis::FEATURE;
  78                         lookt_params.numberOfValues = (uint32_t)lookt_params.inputIndices.Feature().v;
  79                         break;
  80                     case lookup_table::x:
  81                         lookt_params.lookUpTableAxis = kernel_selector::lookt_axis::X;
  82                         lookt_params.numberOfValues = (uint32_t)lookt_params.inputIndices.X().v;
  83                         break;
  84                     case lookup_table::y:
  85                         lookt_params.lookUpTableAxis = kernel_selector::lookt_axis::Y;
  86                         lookt_params.numberOfValues = (uint32_t)lookt_params.inputIndices.Y().v;
  87                         break;
  88                     default:
  89                         break;
  90                     }
  91                 }
  92                 else
  93                     lookt_params.numberOfValues = (uint32_t)lookt_params.inputIndices.X().v;
  94
  95                 auto& kernel_selector = kernel_selector::lookup_table_kernel_selector::Instance();
  96
  97                 kernel_selector::KernelsData best_kernels = kernel_selector.GetBestKernels(lookt_params, lookt_optional_params);
  98
  99                 CLDNN_ERROR_BOOL(arg.id(), "Best_kernel.empty()", best_kernels.empty(), "Cannot find a proper kernel with this arguments");
 100
 101                 auto conv = new lookup_table_gpu(arg, best_kernels[0]);
 102
 103                 return conv;
 104             }
 105         };
 106
 107         namespace {
 108             struct attach {
 109                 attach() {
 110                     implementation_map<lookup_table>::add(std::make_tuple(engine_types::ocl, data_types::f32, format::yxfb), lookup_table_gpu::create);
 111                     implementation_map<lookup_table>::add(std::make_tuple(engine_types::ocl, data_types::f16, format::yxfb), lookup_table_gpu::create);
 112                     implementation_map<lookup_table>::add(std::make_tuple(engine_types::ocl, data_types::i8, format::yxfb), lookup_table_gpu::create);
 113                     implementation_map<lookup_table>::add(std::make_tuple(engine_types::ocl, data_types::f32, format::bfyx), lookup_table_gpu::create);
 114                     implementation_map<lookup_table>::add(std::make_tuple(engine_types::ocl, data_types::f16, format::bfyx), lookup_table_gpu::create);
 115                     implementation_map<lookup_table>::add(std::make_tuple(engine_types::ocl, data_types::i8, format::bfyx), lookup_table_gpu::create);
 116                 }
 117                 ~attach() {}
 118             };
 119             attach attach_impl;
 120         }
 121     }
 122 }