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

   1 // Copyright (c) 2018 Intel Corporation
   2 //
   3 // Licensed under the Apache License, Version 2.0 (the "License");
   4 // you may not use this file except in compliance with the License.
   5 // You may obtain a copy of the License at
   6 //
   7 //      http://www.apache.org/licenses/LICENSE-2.0
   8 //
   9 // Unless required by applicable law or agreed to in writing, software
  10 // distributed under the License is distributed on an "AS IS" BASIS,
  11 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  12 // See the License for the specific language governing permissions and
  13 // limitations under the License.
  14
  15 #include "pyramid_roi_align_inst.h"
  16
  17 #include "primitive_gpu_base.h"
  18 #include "implementation_map.h"
  19 #include "kernel_selector_helper.h"
  20 #include "pyramid_roi_align/pyramid_roi_align_kernel_selector.h"
  21 #include "pyramid_roi_align/pyramid_roi_align_kernel_base.h"
  22 #include "error_handler.h"
  23 #include "pyramid_roi_align_inst.h"
  24 #include "network_impl.h"
  25
  26
  27 #define DEPTH_OF_FEATURE_MAP            4
  28 #define NUM_COORDINATES                 4
  29 #define META_OFFSET_X                   4
  30 #define META_OFFSET_Y                   5
  31
  32 namespace cldnn {  namespace gpu {
  33
  34 struct pyramid_roi_align_gpu : typed_primitive_gpu_impl<pyramid_roi_align>
  35 {
  36     using parent = typed_primitive_gpu_impl<pyramid_roi_align>;
  37     using parent::parent;
  38
  39     static primitive_impl* create(const pyramidROIAlign_node& arg)
  40     {
  41         auto pyramidROIAlign_params = get_default_params<kernel_selector::PyramidROIAlign_params>(arg, 1);
  42         auto pyramidROIAlign_optional_params = get_default_optional_params<kernel_selector::PyramidROIAlign_optional_params>(arg.get_program());
  43
  44         pyramidROIAlign_params.inputs.push_back(convert_data_tensor(arg.image_meta().get_output_layout()));
  45         pyramidROIAlign_params.inputs.push_back(convert_data_tensor(arg.P2().get_output_layout()));
  46         pyramidROIAlign_params.inputs.push_back(convert_data_tensor(arg.P3().get_output_layout()));
  47         pyramidROIAlign_params.inputs.push_back(convert_data_tensor(arg.P4().get_output_layout()));
  48         pyramidROIAlign_params.inputs.push_back(convert_data_tensor(arg.P5().get_output_layout()));
  49         pyramidROIAlign_params.inputs.push_back(convert_data_tensor(arg.pool_size().get_output_layout()));
  50
  51
  52         auto& kernel_selector = kernel_selector::PyramidROIAlign_kernel_selector::Instance();
  53         auto best_kernels = kernel_selector.GetBestKernels(pyramidROIAlign_params, pyramidROIAlign_optional_params);
  54
  55         CLDNN_ERROR_BOOL(arg.id(), "Best_kernel.empty()", best_kernels.empty(), "Cannot find a proper kernel with this arguments");
  56
  57         return new pyramid_roi_align_gpu(arg, best_kernels[0]);
  58     }
  59
  60 };
  61
  62 namespace {
  63     struct attach {
  64         attach() {
  65             auto val_fw = pyramid_roi_align_gpu::create;
  66             implementation_map<pyramid_roi_align>::add(std::make_tuple(engine_types::ocl, data_types::f32, format::bfyx), val_fw);
  67             implementation_map<pyramid_roi_align>::add(std::make_tuple(engine_types::ocl, data_types::f16, format::bfyx), val_fw);
  68         }
  69         ~attach() = default;
  70
  71     };
  72
  73     attach attach_impl;
  74
  75 }
  76 }}