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TheRock/rocm-libraries/projects/miopen/driver/mloGroupNormHost.hpp
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Flatten subprojects into a single base monorepo
2026-09-02 16:34:47 -07:00

90 lines
3.4 KiB
C++

/*******************************************************************************
*
* MIT License
*
* Copyright (c) 2023 Advanced Micro Devices, Inc.
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*
*******************************************************************************/
#ifndef MLO_GROUPNORMHOST_H_
#define MLO_GROUPNORMHOST_H_
#include <miopen/tensor.hpp>
////////////////////////////////////////////////////////////
//
///////////////////////////////////////////////////////////
template <typename Tgpu, typename Tcheck>
int32_t mloGroupNormForwardRunHost(miopenTensorDescriptor_t inputDesc,
Tgpu* input,
Tgpu* weight,
Tgpu* bias,
Tcheck* outputhost,
Tcheck* meanhost,
Tcheck* rstdhost,
uint64_t num_groups,
float eps,
miopenNormMode_t mode,
bool use_multithread)
{
auto dims = miopen::deref(inputDesc).GetLengths();
size_t numel = miopen::deref(inputDesc).GetElementSize();
size_t numel_per_channel = numel / dims[0] / dims[1];
size_t num_channels = dims[1];
size_t outer_size = dims[0] * num_groups;
size_t inner_size = numel / outer_size;
size_t min_grain = use_multithread ? 8 : outer_size;
miopen::par_for(outer_size, min_grain, [&](size_t o) {
Tcheck pmean = 0.0f;
Tcheck pvar = 0.0f;
for(size_t i = 0; i < inner_size; i++)
{
Tcheck tmp = static_cast<Tcheck>(input[o * inner_size + i]);
pmean += tmp;
pvar += tmp * tmp;
}
pmean = pmean / inner_size;
pvar = pvar / inner_size - pmean * pmean;
Tcheck prstd = 1.0f / sqrt(pvar + eps);
meanhost[o] = pmean;
rstdhost[o] = prstd;
for(size_t i = 0; i < inner_size; i++)
{
size_t idx = o * inner_size + i;
size_t c = (idx / numel_per_channel) % num_channels;
Tcheck pweight = mode ? static_cast<Tcheck>(weight[c]) : 1;
Tcheck pbias = mode ? static_cast<Tcheck>(bias[c]) : 0;
outputhost[idx] = (static_cast<Tcheck>(input[idx]) - pmean) * prstd * pweight + pbias;
}
});
return 0;
}
#endif