inference-engine/thirdparty/clDNN/src/gpu/max_unpooling_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 "max_unpooling_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 "max_unpooling/max_unpooling_kernel_selector.h"
  23 #include "max_unpooling/max_unpooling_kernel_base.h"
  24
  25 namespace cldnn { namespace gpu {
  26
  27 struct max_unpooling_gpu : typed_primitive_gpu_impl<max_unpooling>
  28 {
  29     using parent = typed_primitive_gpu_impl<max_unpooling>;
  30     using parent::parent;
  31
  32 protected:
  33
  34     virtual kernel::kernel_arguments_data get_arguments(typed_primitive_inst<max_unpooling>& instance, int32_t split) const override
  35     {
  36         kernel::kernel_arguments_data args = parent::get_arguments(instance, split);
  37         args.inputs.push_back(&instance.dep_memory(1));
  38         return args;
  39     }
  40
  41 public:
  42
  43     event_impl::ptr execute_impl(const std::vector<event_impl::ptr>& events, max_unpooling_inst& instance) override
  44     {
  45         //clear output buffer
  46         std::vector<event_impl::ptr> tmp_events(events);
  47         auto ev = instance.get_network().get_engine().create_user_event(false);
  48         instance.output_memory().fill(0, ev);
  49         tmp_events.push_back(ev);
  50         return parent::execute_impl(tmp_events, instance);
  51     }
  52
  53     static primitive_impl* create(const max_unpooling_node& arg)
  54     {
  55         auto max_unpooling_params = get_default_params<kernel_selector::max_unpooling_params>(arg);
  56         auto max_unpooling_optional_params = get_default_optional_params<kernel_selector::max_unpooling_optional_params>(arg.get_program());
  57
  58         max_unpooling_params.inputs.push_back(convert_data_tensor(arg.argmax().get_output_layout()));
  59
  60         auto& kernel_selector   = kernel_selector::max_unpooling_kernel_selector::Instance();
  61         auto best_kernels       = kernel_selector.GetBestKernels(max_unpooling_params, max_unpooling_optional_params);
  62
  63         CLDNN_ERROR_BOOL(arg.id(), "Best_kernel.empty()", best_kernels.empty(), "Cannot find a proper kernel with this arguments");
  64
  65         auto max_unpool = new max_unpooling_gpu(arg, best_kernels[0]);
  66
  67         return max_unpool;
  68     }
  69 };
  70
  71 namespace {
  72     struct attach {
  73         attach()
  74         {
  75             implementation_map<max_unpooling>::add(std::make_tuple(engine_types::ocl, data_types::f32, format::yxfb), max_unpooling_gpu::create);
  76             implementation_map<max_unpooling>::add(std::make_tuple(engine_types::ocl, data_types::f16, format::yxfb), max_unpooling_gpu::create);
  77             implementation_map<max_unpooling>::add(std::make_tuple(engine_types::ocl, data_types::f32, format::bfyx), max_unpooling_gpu::create);
  78             implementation_map<max_unpooling>::add(std::make_tuple(engine_types::ocl, data_types::f16, format::bfyx), max_unpooling_gpu::create);
  79             implementation_map<max_unpooling>::add(std::make_tuple(engine_types::ocl, data_types::i8, format::bfyx), max_unpooling_gpu::create);
  80             implementation_map<max_unpooling>::add(std::make_tuple(engine_types::ocl, data_types::i8, format::yxfb), max_unpooling_gpu::create);
  81             implementation_map<max_unpooling>::add(std::make_tuple(engine_types::ocl, data_types::f32, format::byxf), max_unpooling_gpu::create);
  82             implementation_map<max_unpooling>::add(std::make_tuple(engine_types::ocl, data_types::f16, format::byxf), max_unpooling_gpu::create);
  83             implementation_map<max_unpooling>::add(std::make_tuple(engine_types::ocl, data_types::i8, format::byxf), max_unpooling_gpu::create);
  84         }
  85         ~attach() {}
  86     };
  87     attach attach_impl;
  88 }
  89 } }