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/*
// Copyright (c) 2016 Intel Corporation
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
*/
#include "pooling_kernel_base.h"
namespace kernel_selector
{
bool PoolingKernelBase::Validate(const Params& p, const optional_params& o) const
{
if (p.GetType() != KernelType::POOLING ||
o.GetType() != KernelType::POOLING)
{
return false;
}
return true;
}
JitConstants PoolingKernelBase::GetJitConstants(const pooling_params& pp, PoolingKernelBase::DispatchData kd) const
{
JitConstants mem_consts = MakeBaseParamsJitConstants(pp);
mem_consts.AddConstants({
MakeJitConstant("POOL", pp.poolSize),
MakeJitConstant("STRIDE", pp.poolStride),
MakeJitConstant("PADDING", pp.poolPad),
MakeJitConstant(toString(pp.poolType) + "_POOLING", 1),
MakeJitConstant(toString(pp.divMode) + "_KERNEL_DIVIDER", 1),
});
if (kd.needsBoundary)
{
mem_consts.AddConstant(MakeJitConstant("CHECK_BOUNDRY", 1));
}
return mem_consts;
}
// Checks if we need boundary checking in kernel.
bool PoolingKernelBase::NeedsBoundaryCheck(const pooling_params& pp) const
{
if (pp.poolPad.x != 0 || pp.poolPad.y != 0)
{
return true;
}
const auto& input = pp.inputs[0];
if (input.X().v < pp.poolSize.x || input.Y().v < pp.poolSize.y)
{
return true;
}
auto mod_x = (input.X().v - pp.poolSize.x) % pp.poolStride.x;
auto mod_y = (input.Y().v - pp.poolSize.y) % pp.poolStride.y;
return mod_x || mod_y;
}
PoolingKernelBase::DispatchData PoolingKernelBase::SetDefault(const pooling_params& params) const
{
const auto& output = params.output;
DispatchData kd;
kd.fp16UnitUsed = params.inputs[0].GetDType() == Datatype::F16;
if (output.GetLayout() == DataLayout::bfyx || output.GetLayout() == DataLayout::byxf)
{
// Determine global work sizes.
kd.gws2 = output.Batch().v * output.Feature().v; // B, F
kd.gws0 = Align(output.X().v, 32); // X
kd.gws1 = output.Y().v; // Y
// Find largest positive local work size that is divider for global work size.
kd.lws0 = 32;
kd.lws1 = 1;
kd.lws2 = 1;
}
else
{
// Determine global work sizes.
kd.gws0 = output.Batch().v * output.Feature().v; // B, F
kd.gws1 = output.X().v; // X
kd.gws2 = output.Y().v; // Y
kd.lws0 = std::min(std::max(kd.gws0, static_cast<size_t>(1)), static_cast<size_t>(32));
while (kd.gws0 % kd.lws0 != 0)
{
--kd.lws0;
}
kd.lws1 = 1;
kd.lws2 = 1;
}
kd.needsBoundary = NeedsBoundaryCheck(params);
return kd;
}
KernelsData PoolingKernelBase::GetCommonKernelsData(const Params& params, const optional_params& options, float estimatedTime) const
{
if (!Validate(params, options))
{
return{};
}
const pooling_params& orgParams = static_cast<const pooling_params&>(params);
DispatchData runInfo = SetDefault(orgParams);
KernelData kd = KernelData::Default<pooling_params>(params);
auto cldnn_jit = GetJitConstants(orgParams, runInfo);
auto entry_point = GetEntryPoint(kernelName, orgParams.layerID, options);
auto jit = CreateJit(kernelName, cldnn_jit, entry_point);
auto& kernel = kd.kernels[0];
FillCLKernelData(kernel, runInfo, params.engineInfo, kernelName, jit, entry_point);
if(orgParams.poolType == PoolType::MAX_WITH_ARGMAX)
kernel.arguments.push_back({ ArgumentDescriptor::Types::INPUT, 1 });
kd.estimatedTime = estimatedTime;
return{ kd };
}
}
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