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/* ******************************************************************************
*
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://www.apache.org/licenses/LICENSE-2.0.
*
* See the NOTICE file distributed with this work for additional
* information regarding copyright ownership.
* 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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author Oleh Semeniv (oleg.semeniv@gmail.com)
//
#include <helpers/PointersManager.h>
#include <math/platformmath.h>
#include <math/templatemath.h>
#include <ops/declarable/helpers/updatersHelpers.h>
#include <system/op_boilerplate.h>
#include "execution/cuda/LaunchDims.h"
#include "helpers/DebugHelper.h"
namespace sd {
namespace ops {
namespace helpers {
///////////////////////////////////////////////////////////////////
template <typename T>
SD_KERNEL void adaGradUpdaterCuda(const void* vx, const LongType* xShapeInfo, const void* vin,
const LongType* inShapeInfo, void* vz, const LongType* zShapeInfo, void* vst,
const LongType* stShapeInfo, const T lr, const T epsilon) {
const auto x = reinterpret_cast<const T*>(vx);
const auto init = reinterpret_cast<const T*>(vin);
auto up = reinterpret_cast<T*>(vz);
auto st = reinterpret_cast<T*>(vst);
__shared__ bool bEWS, bOrdering, bXZsame, bXInSame, bXStSame;
__shared__ LongType xLen;
__shared__ LongType xRank, zRank, inRank, stRank;
__shared__ LongType *xShape, *zShape, *inShape, *stShape;
__shared__ LongType *xStride, *zStride, *inStride, *stStride;
if (threadIdx.x == 0) {
xLen = shape::length(xShapeInfo);
// Cache ranks
xRank = shape::rank(xShapeInfo);
zRank = shape::rank(zShapeInfo);
inRank = shape::rank(inShapeInfo);
stRank = shape::rank(stShapeInfo);
// Cache shapes
xShape = shape::shapeOf(xShapeInfo);
zShape = shape::shapeOf(zShapeInfo);
inShape = shape::shapeOf(inShapeInfo);
stShape = shape::shapeOf(stShapeInfo);
// Cache strides
xStride = shape::stride(xShapeInfo);
zStride = shape::stride(zShapeInfo);
inStride = shape::stride(inShapeInfo);
stStride = shape::stride(stShapeInfo);
bEWS = 1 == shape::elementWiseStride(xShapeInfo) && 1 == shape::elementWiseStride(zShapeInfo) &&
1 == shape::elementWiseStride(stShapeInfo) && 1 == shape::elementWiseStride(inShapeInfo);
bOrdering = shape::order(xShapeInfo) == shape::order(zShapeInfo) &&
shape::order(xShapeInfo) == shape::order(stShapeInfo) &&
shape::order(xShapeInfo) == shape::order(inShapeInfo);
bXZsame = shape::haveSameShapeAndStrides(xShapeInfo, zShapeInfo);
bXInSame = shape::haveSameShapeAndStrides(xShapeInfo, inShapeInfo);
bXStSame = shape::haveSameShapeAndStrides(xShapeInfo, stShapeInfo);
}
__syncthreads();
LongType coords[SD_MAX_RANK];
for (LongType i = blockIdx.x * blockDim.x + threadIdx.x; i < xLen; i += gridDim.x * blockDim.x) {
LongType xOffset, zOffset, initOffset, stOffset;
if (!bEWS || !bOrdering) {
INDEX2COORDS(i, xRank, xShape, coords);
COORDS2INDEX(xRank, xStride, coords, xOffset);
if (bXZsame) {
zOffset = xOffset;
} else {
COORDS2INDEX(zRank, zStride, coords, zOffset);
}
if (bXInSame) {
initOffset = xOffset;
} else {
COORDS2INDEX(inRank, inStride, coords, initOffset);
}
if (bXStSame) {
stOffset = xOffset;
} else {
COORDS2INDEX(stRank, stStride, coords, stOffset);
}
} else {
xOffset = zOffset = initOffset = stOffset = i;
}
st[stOffset] = init[initOffset] + x[xOffset] * x[xOffset];
up[zOffset] = (lr * x[xOffset]) / (math::sd_sqrt<T, T>(st[stOffset]) + epsilon);
}
}
///////////////////////////////////////////////////////////////////
template <typename T>
void adaGradUpdaterCudaLauncher(const int blocksPerGrid, const int threadsPerBlock, const int sharedMemory,
const cudaStream_t* stream, const void* vx, const LongType* xShapeInfo,
const void* vin, const LongType* inShapeInfo, void* vz,
const LongType* zShapeInfo, void* vst, const LongType* stShapeInfo,
const double dLr, const double dEpsilon) {
const T lr = static_cast<T>(dLr);
T epsilon = static_cast<T>(dEpsilon);
//fp16 to prevent underflow
if(epsilon == 0.0) {
epsilon = static_cast<T>(1e-7);
}
adaGradUpdaterCuda<T><<<blocksPerGrid, threadsPerBlock, sharedMemory, *stream>>>(vx, xShapeInfo, vin, inShapeInfo, vz,
zShapeInfo, vst, stShapeInfo, lr, epsilon);
sd::DebugHelper::checkErrorCode(const_cast<cudaStream_t *>(stream), "adaGradUpdaterCuda failed");
}
///////////////////////////////////////////////////////////////////
void updaterAdaGrad(LaunchContext* context, NDArray& gradient, NDArray& initState, NDArray& update,
NDArray& stateH, const double dLr, const double dEpsilon) {
PointersManager manager(context, "adaGradUpdater");
dim3 launchDims = updaterDims(gradient.lengthOf());
NDArray::prepareSpecialUse({&update, &stateH}, {&gradient, &initState});
BUILD_SINGLE_SELECTOR(
gradient.dataType(), adaGradUpdaterCudaLauncher,
(launchDims.y, launchDims.x, launchDims.z,context->getCudaStream(), gradient.specialBuffer(), gradient.specialShapeInfo(),
initState.specialBuffer(), initState.specialShapeInfo(), update.specialBuffer(), update.specialShapeInfo(),
stateH.specialBuffer(), stateH.specialShapeInfo(), dLr, dEpsilon),
SD_FLOAT_TYPES);
NDArray::registerSpecialUse({&update, &stateH}, {&gradient, &initState});
manager.synchronize();
}
} // namespace helpers
} // namespace ops
} // namespace sd