chore: import upstream snapshot with attribution
This commit is contained in:
wehub-resource-sync
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/*
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* ******************************************************************************
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* *
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* *
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* * This program and the accompanying materials are made available under the
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* * terms of the Apache License, Version 2.0 which is available at
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* * https://www.apache.org/licenses/LICENSE-2.0.
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* *
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* * See the NOTICE file distributed with this work for additional
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* * information regarding copyright ownership.
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* * Unless required by applicable law or agreed to in writing, software
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* * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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* * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* * License for the specific language governing permissions and limitations
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* * under the License.
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* *
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* * SPDX-License-Identifier: Apache-2.0
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* *****************************************************************************
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*/
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//
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// @author Oleh Semeniv (oleg.semeniv@gmail.com)
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//
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#include <execution/Threads.h>
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#include <math/platformmath.h>
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#include <math/templatemath.h>
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#include <ops/declarable/helpers/updatersHelpers.h>
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#if NOT_EXCLUDED(OP_amsgrad_updater)
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namespace sd {
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namespace ops {
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namespace helpers {
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//////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
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template <typename T>
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static void amsGradUpdater_(NDArray& gradient, NDArray& initStateV, NDArray& initStateM,
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NDArray& initStateH, NDArray& update, NDArray& stateV, NDArray& stateM,
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NDArray& stateH, const double dLr, const double dBeta1, const double dBeta2,
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const double dEpsilon, const int nIteration) {
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const T* grad = gradient.bufferAsT<T>();
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const T* initV = initStateV.bufferAsT<T>();
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const T* initM = initStateM.bufferAsT<T>();
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const T* initH = initStateH.bufferAsT<T>();
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T* up = update.bufferAsT<T>();
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T* stV = stateV.bufferAsT<T>();
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T* stM = stateM.bufferAsT<T>();
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T* stH = stateH.bufferAsT<T>();
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const T lr = static_cast<T>(dLr);
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const T beta1 = static_cast<T>(dBeta1);
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const T beta2 = static_cast<T>(dBeta2);
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T epsilon = static_cast<T>(dEpsilon);
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//fp16 to prevent underflow
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if(epsilon == 0.0) {
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epsilon = static_cast<T>(1e-7);
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}
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const T iteration = static_cast<T>(nIteration);
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T epsilonT = lr * sd::math::sd_sqrt<T, T>(1.0 - sd::math::sd_pow<T, T, T>(beta2, (iteration + 1))) /
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(1.0 - sd::math::sd_pow<T, T, T>(beta1, (iteration + 1)));
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if (sd::math::sd_isnan(epsilonT) || 0 == epsilonT || sd::math::sd_isinf(epsilonT)) epsilonT = epsilon;
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const T mbeta1 = (1 - beta1);
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const T mbeta2 = (1 - beta2);
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bool bEws1 = 1 == gradient.ews() && 1 == update.ews() && 1 == stateM.ews() && 1 == initStateM.ews() &&
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1 == stateV.ews() && 1 == initStateV.ews() && 1 == stateH.ews() && 1 == initStateH.ews();
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bool bSameOrdering = gradient.ordering() == update.ordering() && update.ordering() == stateV.ordering() &&
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stateV.ordering() == initStateV.ordering() && stateV.ordering() == initStateM.ordering() &&
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stateM.ordering() == initStateM.ordering() && stateM.ordering() == initStateH.ordering() &&
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stateH.ordering() == initStateH.ordering();
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if (bEws1 && bSameOrdering) {
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auto func = PRAGMA_THREADS_FOR {
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for (auto i = start; i < stop; i++) {
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stM[i] = beta1 * initM[i] + grad[i] * mbeta1;
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stV[i] = beta2 * initV[i] + grad[i] * grad[i] * mbeta2;
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stH[i] = sd::math::sd_max(initH[i], stV[i]);
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up[i] = epsilonT * stM[i] / (sd::math::sd_sqrt<T, T>(stH[i]) + epsilon);
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}
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};
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samediff::Threads::parallel_for(func, 0, gradient.lengthOf(), 1);
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return;
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}
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// Cache shape and stride information
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sd::LongType gradRank = gradient.rankOf();
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sd::LongType updateRank = update.rankOf();
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sd::LongType initStateVRank = initStateV.rankOf();
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sd::LongType stateVRank = stateV.rankOf();
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sd::LongType initStateMRank = initStateM.rankOf();
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sd::LongType stateMRank = stateM.rankOf();
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sd::LongType initStateHRank = initStateH.rankOf();
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sd::LongType stateHRank = stateH.rankOf();
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sd::LongType *gradShape = shape::shapeOf(gradient.shapeInfo());
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sd::LongType *gradStride = shape::stride(gradient.shapeInfo());
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sd::LongType *updateStride = shape::stride(update.shapeInfo());
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sd::LongType *initStateVStride = shape::stride(initStateV.shapeInfo());
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sd::LongType *stateVStride = shape::stride(stateV.shapeInfo());
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sd::LongType *initStateMStride = shape::stride(initStateM.shapeInfo());
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sd::LongType *stateMStride = shape::stride(stateM.shapeInfo());
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sd::LongType *initStateHStride = shape::stride(initStateH.shapeInfo());
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sd::LongType *stateHStride = shape::stride(stateH.shapeInfo());
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bool bXZsame = shape::haveSameShapeAndStrides(gradient.shapeInfo(), update.shapeInfo());
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bool bXInVSame = shape::haveSameShapeAndStrides(gradient.shapeInfo(), initStateV.shapeInfo());
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bool bXStVSame = shape::haveSameShapeAndStrides(gradient.shapeInfo(), stateV.shapeInfo());
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bool bXInMSame = shape::haveSameShapeAndStrides(gradient.shapeInfo(), initStateM.shapeInfo());
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bool bXStMSame = shape::haveSameShapeAndStrides(gradient.shapeInfo(), stateM.shapeInfo());
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bool bXInHSame = shape::haveSameShapeAndStrides(gradient.shapeInfo(), initStateH.shapeInfo());
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bool bXStHSame = shape::haveSameShapeAndStrides(gradient.shapeInfo(), stateH.shapeInfo());
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auto func = PRAGMA_THREADS_FOR {
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sd::LongType coords[SD_MAX_RANK];
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for (sd::LongType i = start; i < stop; i++) {
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INDEX2COORDS(i, gradRank, gradShape, coords);
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sd::LongType xOffset;
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COORDS2INDEX(gradRank, gradStride, coords, xOffset);
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sd::LongType zOffset;
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if (bXZsame) {
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zOffset = xOffset;
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} else {
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COORDS2INDEX(updateRank, updateStride, coords, zOffset);
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}
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sd::LongType initVOffset;
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if (bXInVSame) {
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initVOffset = xOffset;
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} else {
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COORDS2INDEX(initStateVRank, initStateVStride, coords, initVOffset);
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}
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sd::LongType stVOffset;
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if (bXStVSame) {
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stVOffset = xOffset;
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} else {
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COORDS2INDEX(stateVRank, stateVStride, coords, stVOffset);
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}
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sd::LongType initMOffset;
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if (bXInMSame) {
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initMOffset = xOffset;
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} else {
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COORDS2INDEX(initStateMRank, initStateMStride, coords, initMOffset);
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}
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sd::LongType stMOffset;
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if (bXStMSame) {
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stMOffset = xOffset;
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} else {
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COORDS2INDEX(stateMRank, stateMStride, coords, stMOffset);
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}
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sd::LongType initHOffset;
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if (bXInHSame) {
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initHOffset = xOffset;
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} else {
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COORDS2INDEX(initStateHRank, initStateHStride, coords, initHOffset);
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}
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sd::LongType stHOffset;
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if (bXStHSame) {
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stHOffset = xOffset;
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} else {
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COORDS2INDEX(stateHRank, stateHStride, coords, stHOffset);
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}
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stM[stMOffset] = beta1 * initM[initMOffset] + grad[xOffset] * mbeta1;
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stV[stVOffset] = beta2 * initV[initVOffset] + grad[xOffset] * grad[xOffset] * mbeta2;
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stH[stHOffset] = sd::math::sd_max(initH[initHOffset], stV[stVOffset]);
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up[zOffset] = epsilonT * stM[stMOffset] / (sd::math::sd_sqrt<T, T>(stH[stHOffset]) + epsilon);
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}
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};
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samediff::Threads::parallel_for(func, 0, gradient.lengthOf(), 1);
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return;
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}
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void updaterAmsGrad(sd::LaunchContext* context, NDArray& gradient, NDArray& initStateV,
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NDArray& initStateM, NDArray& initStateH, NDArray& update, NDArray& stateV,
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NDArray& stateM, NDArray& stateH, const double dLr, const double dBeta1, const double dBeta2,
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const double dEpsilon, const int nIteration) {
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BUILD_SINGLE_SELECTOR(gradient.dataType(), amsGradUpdater_,
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(gradient, initStateV, initStateM, initStateH, update, stateV, stateM, stateH, dLr, dBeta1,
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dBeta2, dEpsilon, nIteration),
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SD_FLOAT_TYPES);
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}
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} // namespace helpers
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} // namespace ops
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} // namespace sd
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#endif
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