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/*
// Copyright (c) 2018 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 "batch_norm_kernel_base.h"
namespace kernel_selector
{
bool BatchNormKernelBase::Validate(const Params& p, const optional_params& o) const
{
if (p.GetType() != KernelType::BATCH_NORM_GRAD ||
o.GetType() != KernelType::BATCH_NORM_GRAD)
{
return false;
}
return true;
}
JitConstants BatchNormKernelBase::GetJitConstants(const batch_norm_params& params) const
{
JitConstants jit = MakeBaseParamsJitConstants(params);
jit.AddConstant(MakeJitConstant("EPSILON", params.batchNormParams.epsilon));
if (params.batchNormParams.with_inv_var)
jit.AddConstant(MakeJitConstant("FORWARD", 1));
return jit;
}
BatchNormKernelBase::DispatchData BatchNormKernelBase::SetDefault(const batch_norm_params& params) const
{
DispatchData kd;
kd.fp16UnitUsed = params.inputs[0].GetDType() == Datatype::F16;
kd.gws0 = params.inputs[0].Batch().v;
kd.gws1 = params.inputs[0].Feature().v;
kd.gws2 = 1;
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;
return kd;
}
KernelsData BatchNormKernelBase::GetCommonKernelsData(const Params& params, const optional_params& options, float estimatedTime) const
{
if (!Validate(params, options))
{
return{};
}
const batch_norm_params& orgParams = static_cast<const batch_norm_params&>(params);
DispatchData runInfo = SetDefault(orgParams);
KernelData kd = KernelData::Default<batch_norm_params>(params);
auto cldnn_jit = GetJitConstants(orgParams);
auto entry_point = GetEntryPoint(kernelName, orgParams.layerID, options);
auto jit = CreateJit(kernelName, cldnn_jit, entry_point);
auto& kernel = kd.kernels[0];
int inputs_num = 1 + orgParams.batchNormParams.with_inv_var;
FillCLKernelData(kernel, runInfo, params.engineInfo, kernelName, jit, entry_point, "", false, false, inputs_num);
kd.estimatedTime = estimatedTime;
return{ kd };
}
}
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