inference-engine/thirdparty/clDNN/kernel_selector/core/actual_kernels/convolution/convolution_kernel_bfyx_direct_10_12_16.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 "convolution_kernel_bfyx_direct_10_12_16.h"
  18
  19 namespace kernel_selector {
  20
  21     ParamsKey ConvolutionKernel_bfyx_Direct_10_10_12::GetSupportedKey() const
  22     {
  23         ParamsKey k;
  24         k.EnableInputDataType(Datatype::F16);
  25         k.EnableOutputDataType(Datatype::F16);
  26         k.EnableInputWeightsType(WeightsType::F16);
  27         k.EnableInputWeightsType(WeightsType::F32);
  28         k.EnableInputLayout(DataLayout::bfyx);
  29         k.EnableOutputLayout(DataLayout::bfyx);
  30         k.EnableTensorOffset();
  31         k.EnableTensorPitches();
  32         k.EnableSubGroup();
  33         k.EnableSubGroupShort();
  34         k.EnableBiasPerFeature();
  35         k.EnableBiasPerOutput();
  36         k.EnableNonBiasTerm();
  37         k.EnableBatching();
  38         k.EnableSplitSupport();
  39         return k;
  40     }
  41
  42     JitConstants ConvolutionKernel_bfyx_Direct_10_10_12::GetJitConstants(const convolution_params& cp, const DispatchData& runInfo) const
  43     {
  44         JitConstants jit = Parent::GetJitConstants(cp, runInfo);
  45
  46         jit.AddConstants({
  47             MakeJitConstant("ALIGNED_OFM",                  RoundUp(cp.output.Feature().v, runInfo.gemmStyle.subBlockDimN)),
  48             MakeJitConstant("DX",                           runInfo.gemmStyle.globalWorkSizeDX),
  49             MakeJitConstant("DY",                           runInfo.gemmStyle.globalWorkSizeDY),
  50             MakeJitConstant("KERNEL_SLICE_DIV2",            (cp.filterSize.x * cp.filterSize.y) / 2),
  51             MakeJitConstant("RIGHT_PARTIAL_TILE_K",         cp.output.X().v % runInfo.gemmStyle.globalWorkSizeDX),
  52             MakeJitConstant("INPUT_BUFFER_WIDTH_PADDED",    ""),    // TODO: enable non padding path again
  53             MakeJitConstant("INPUT_BUFFER_HEIGHT_PADDED",   ""),
  54         });
  55
  56         return jit;
  57     }
  58
  59     ConvolutionKernel_bfyx_Direct_10_10_12::Parent::DispatchData ConvolutionKernel_bfyx_Direct_10_10_12::SetDefault(const convolution_params& arg, int) const
  60     {
  61         Parent::DispatchData runInfo = Parent::SetDefault(arg);
  62
  63         constexpr uint32_t TILE_N = 16;
  64
  65         if (arg.filterSize.x == 5)
  66         {
  67             runInfo.gemmStyle = { 1, 1, TILE_N, /*GWS DX*/ 4, /*GWS DY*/ 4, 1 };
  68         }
  69         else
  70         {
  71             runInfo.gemmStyle = { 1, 1, TILE_N, /*GWS DX*/ 4, /*GWS DY*/ 3, 1 };
  72         }
  73
  74         runInfo.gws0 = RoundUp(arg.output.X().v, runInfo.gemmStyle.globalWorkSizeDX) / runInfo.gemmStyle.globalWorkSizeDX;
  75         runInfo.gws1 = RoundUp(arg.output.Y().v, runInfo.gemmStyle.globalWorkSizeDY) / runInfo.gemmStyle.globalWorkSizeDY;
  76         runInfo.gws2 = RoundUp(arg.output.Feature().v, TILE_N) * arg.output.Batch().v;
  77
  78         runInfo.lws0 = 1;
  79         runInfo.lws1 = 1;
  80         runInfo.lws2 = TILE_N;
  81
  82         runInfo.effiency = FORCE_PRIORITY_4;
  83
  84         return runInfo;
  85     }
  86
  87     bool ConvolutionKernel_bfyx_Direct_10_10_12::Validate(const Params& p, const optional_params& o) const
  88     {
  89         if (!Parent::Validate(p, o) ||
  90             !CovolutionCheckInput(p, o))
  91         {
  92             return false;
  93         }
  94
  95         const convolution_params& cp = static_cast<const convolution_params&>(p);
  96
  97         const bool bStrideOK = (cp.stride.x == 1 && cp.stride.y == 1);
  98         const bool bFilter3x3 = (cp.filterSize.x == 3 && cp.filterSize.y == 3);
  99         const bool bFilter5x5 = (cp.filterSize.x == 5 && cp.filterSize.y == 5);
 100         const bool bFilterOK = bFilter3x3 || bFilter5x5;
 101
 102         if (!bFilterOK || !bStrideOK)
 103         {
 104             return false;
 105         }
 106
 107         return true;
 108     }
 109
 110     KernelsData ConvolutionKernel_bfyx_Direct_10_10_12::GetKernelsData(const Params& params, const optional_params& options) const
 111     {
 112         return GetTunedKernelsDataByIndex(params, options);
 113     }
 114 }