inference-engine/thirdparty/clDNN/kernel_selector/core/actual_kernels/convolution/convolution_kernel_mmad_slm_2x14_rep4.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_mmad_slm_2x14_rep4.h"
  18 #include "kernel_selector_utils.h"
  19
  20 namespace kernel_selector {
  21
  22     ParamsKey ConvolutionKernel_mmad_slm_2x14_rep4::GetSupportedKey() const
  23     {
  24         ParamsKey k;
  25         k.EnableInputDataType(Datatype::INT8);
  26         k.EnableOutputDataType(Datatype::INT8);
  27         k.EnableInputWeightsType(WeightsType::INT8);
  28         k.EnableInputLayout(DataLayout::fs_bs_yx_bsv4_fsv32);
  29         k.EnableOutputLayout(DataLayout::fs_bs_yx_bsv4_fsv32);
  30         k.EnableTensorOffset();
  31         k.EnableTensorPitches();
  32         k.EnableBiasPerFeature();
  33         k.EnableBiasPerOutput();
  34         k.EnableNonBiasTerm();
  35         k.EnableBatching();
  36         k.EnableInt8Quantization();
  37         k.EnableOutputCalibration();
  38         k.DisableTuning();
  39         return k;
  40     }
  41
  42     bool ConvolutionKernel_mmad_slm_2x14_rep4::Validate(const Params& p, const optional_params& o) const
  43     {
  44         if (!ConvolutionKernelBase::Validate(p, o) ||
  45             !CovolutionCheckInput(p, o))
  46         {
  47             return false;
  48         }
  49
  50         const convolution_params& cp = static_cast<const convolution_params&>(p);
  51
  52         if (cp.filterSize.x != 3 || cp.filterSize.y != 3)
  53             return false;
  54
  55         if (cp.inputs[0].X().v != 56 || cp.inputs[0].Y().v != 56)
  56             return false;
  57
  58         if (cp.stride.x != 1 || cp.stride.y != 1)
  59             return false;
  60
  61         return true;
  62     }
  63
  64     ConvolutionKernelBase::DispatchData ConvolutionKernel_mmad_slm_2x14_rep4::SetDefault(const convolution_params& arg, int) const
  65     {
  66         DispatchData runInfo = ConvolutionKernelBase::SetDefault(arg);
  67
  68         runInfo.effiency = FORCE_PRIORITY_1;
  69
  70         const size_t rep_count = 4;
  71         const size_t batch_per_wi = 1;
  72         const size_t out_block_width = 14;
  73         const size_t out_block_height = 2;
  74         runInfo.gws0 = arg.output.Feature().v * (arg.output.Batch().v / (rep_count * batch_per_wi)); // number of tiles needed to cover output width
  75         runInfo.gws1 = ((arg.inputs[0].X().v / arg.stride.x) + (out_block_width - 1)) / out_block_width;
  76         runInfo.gws2 = ((arg.inputs[0].Y().v / arg.stride.y) + (out_block_height - 1)) / out_block_height;
  77
  78         runInfo.lws0 = 32; // depth
  79         runInfo.lws1 = 1; // width
  80         runInfo.lws2 = 4; // height
  81
  82         return runInfo;
  83     }
  84
  85     JitConstants ConvolutionKernel_mmad_slm_2x14_rep4::GetJitConstants(const convolution_params& params, const DispatchData& runInfo) const
  86     {
  87         auto jit = ConvolutionKernelBase::GetJitConstants(params, runInfo);
  88
  89         jit.AddConstant(MakeJitConstant("SUB_GROUP_SIZE", 8));
  90
  91         // pitch for special block format used in this kernel
  92         const size_t ifm_32_aligned = Align(params.weights.IFM().v, 32);
  93         const size_t filter_ofm_block_pitch = (ifm_32_aligned / 32) * params.weights.X().v * params.weights.Y().v * 4 * 8 * 8;
  94         jit.AddConstant(MakeJitConstant("FILTER_OFM_BLOCK_PITCH", filter_ofm_block_pitch));
  95
  96         const size_t in_x_pitch = 32 * 4;
  97         const size_t in_y_pitch = 32 * 4 * params.inputs[0].X().LogicalDimPadded();
  98         const size_t in_b_block_pitch = in_y_pitch * params.inputs[0].Y().LogicalDimPadded();
  99         const size_t in_f_block_pitch = in_b_block_pitch * ((params.inputs[0].Batch().v + 3) / 4);
 100         const size_t in_offset = in_x_pitch * params.inputs[0].X().pad.before + in_y_pitch * params.inputs[0].Y().pad.before;
 101
 102         jit.AddConstant(MakeJitConstant("IN_X_PITCH", in_x_pitch));
 103         jit.AddConstant(MakeJitConstant("IN_Y_PITCH", in_y_pitch));
 104         jit.AddConstant(MakeJitConstant("IN_B_BLOCK_PITCH", in_b_block_pitch));
 105         jit.AddConstant(MakeJitConstant("IN_F_BLOCK_PITCH", in_f_block_pitch));
 106         jit.AddConstant(MakeJitConstant("IN_OFFSET", in_offset));
 107
 108         jit.AddConstant(MakeJitConstant("OUT_BLOCK_WIDTH", 14));
 109         jit.AddConstant(MakeJitConstant("OUT_BLOCK_HEIGHT", 2));
 110         jit.AddConstant(MakeJitConstant("LOCAL_SIZE_X", runInfo.lws0));
 111         jit.AddConstant(MakeJitConstant("LOCAL_SIZE_Y", runInfo.lws1));
 112         jit.AddConstant(MakeJitConstant("LOCAL_SIZE_Z", runInfo.lws2));
 113
 114         return jit;
 115     }
 116
 117     KernelsData ConvolutionKernel_mmad_slm_2x14_rep4::GetKernelsData(const Params& params, const optional_params& options) const
 118     {
 119         return GetCommonKernelsData(params, options, " -Dcl_intel_subgroups_char");
 120     }
 121 }