inference-engine/thirdparty/clDNN/kernel_selector/core/actual_kernels/activation/activation_kernel_base.cpp

   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 #include "activation_kernel_base.h"
  18 #include "kernel_selector_utils.h"
  19
  20 namespace kernel_selector
  21 {
  22
  23     ActivationKernelBase::DispatchData ActivationKernelBase::SetDefault(const activation_params& arg) const
  24     {
  25         const auto& out = arg.output;
  26
  27         DispatchData runInfo;
  28         std::vector<size_t> global = { out.X().v, out.Y().v, out.Feature().v*out.Batch().v };
  29         if (out.GetLayout() == DataLayout::yxfb)
  30         {
  31             global[0] = out.Feature().v*out.Batch().v;
  32             global[1] = out.X().v;
  33             global[2] = out.Y().v;
  34         }
  35         std::vector<size_t> local = GetOptimalLocalWorkGroupSizes(global);
  36         runInfo.gws0 = global[0];
  37         runInfo.gws1 = global[1];
  38         runInfo.gws2 = global[2];
  39         runInfo.lws0 = local[0];
  40         runInfo.lws1 = local[1];
  41         runInfo.lws2 = local[2];
  42
  43         runInfo.effiency = DONT_USE_IF_HAVE_SOMETHING_ELSE;
  44         runInfo.fp16UnitUsed = out.GetDType() == Datatype::F16;
  45
  46         return runInfo;
  47     }
  48
  49     JitConstants ActivationKernelBase::GetJitConstants(const activation_params& params, DispatchData) const
  50     {
  51         JitConstants jit = MakeBaseParamsJitConstants(params);
  52
  53         const auto& inputNlParams = params.inputActivationParams;
  54
  55         jit.AddConstants({
  56             MakeJitConstant("PARAMS_NUM", GetActivationAdditionalParamsNumber(params.activation.function)),
  57         });
  58
  59         if (!inputNlParams.empty())
  60         {
  61             jit.AddConstants({
  62                 MakeJitConstant("ADDITIONAL_PARAMS", inputNlParams[0]),
  63                 MakeJitConstant("PARAMETERIZED", ""),
  64             });
  65         }
  66
  67         return jit;
  68     }
  69
  70     bool ActivationKernelBase::Validate(const Params& p, const optional_params& o) const
  71     {
  72         if (p.GetType() != KernelType::ACTIVATION ||
  73             o.GetType() != KernelType::ACTIVATION)
  74         {
  75             return false;
  76         }
  77
  78         return true;
  79     }
  80
  81     KernelsData ActivationKernelBase::GetCommonKernelsData(const Params& params, const optional_params& options) const
  82     {
  83         if (!Validate(params, options))
  84         {
  85             return{};
  86         }
  87
  88         KernelData kd = KernelData::Default<activation_params>(params);
  89
  90         activation_params& newParams = *static_cast<activation_params*>(kd.params.get());
  91         const std::string kernel_id = GetEntryPoint(kernelName, params.layerID, options);
  92
  93         auto runInfo = SetDefault(newParams);
  94         auto cldnn_jit = GetJitConstants(newParams, runInfo);
  95         auto entry_point = GetEntryPoint(kernelName, newParams.layerID, options);
  96         auto jit = CreateJit(kernelName, cldnn_jit, entry_point);
  97
  98         auto& kernel = kd.kernels[0];
  99         FillCLKernelData(kernel, runInfo, params.engineInfo, kernelName, jit, entry_point);
 100
 101         if (newParams.gradient)
 102             kernel.arguments.push_back({ ArgumentDescriptor::Types::INPUT, 1 });
 103
 104         if (!newParams.inputActivationParams.empty())
 105         {
 106             kernel.arguments.push_back({ ArgumentDescriptor::Types::SLOPE, 0 });
 107         }
 108
 109         kd.estimatedTime = runInfo.effiency;
 110
 111         return{ kd };
 112     }
 113 }