chore: import upstream snapshot with attribution
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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_nadam_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 nadamUpdater_(NDArray& gradient, NDArray& initStateV, NDArray& initStateM,
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NDArray& update, NDArray& stateV, NDArray& stateM, const double dLr, const double dBeta1,
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const double dBeta2, const double dEpsilon, const int nIteration) {
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// Cache shape information
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const auto gradientShapeInfo = gradient.shapeInfo();
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const auto updateShapeInfo = update.shapeInfo();
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const auto initStateVShapeInfo = initStateV.shapeInfo();
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const auto stateVShapeInfo = stateV.shapeInfo();
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const auto initStateMShapeInfo = initStateM.shapeInfo();
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const auto stateMShapeInfo = stateM.shapeInfo();
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const auto gradRank = shape::rank(gradientShapeInfo);
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const auto* gradShape = shape::shapeOf(gradientShapeInfo);
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const auto* gradStride = shape::stride(gradientShapeInfo);
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const auto* updateStride = shape::stride(updateShapeInfo);
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const auto* initStateVStride = shape::stride(initStateVShapeInfo);
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const auto* stateVStride = shape::stride(stateVShapeInfo);
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const auto* initStateMStride = shape::stride(initStateMShapeInfo);
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const auto* stateMStride = shape::stride(stateMShapeInfo);
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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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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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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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const T mbeta1T = 1.0 - sd::math::sd_pow<T, T, T>(beta1, (iteration + 1));
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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();
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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();
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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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auto oneMinusBeta1Grad = grad[i] * mbeta1;
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stM[i] = beta1 * initM[i] + oneMinusBeta1Grad;
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stV[i] = beta2 * initV[i] + grad[i] * grad[i] * mbeta2;
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up[i] = (lr * ((stM[i] * beta1 + oneMinusBeta1Grad) / mbeta1T)) / (sd::math::sd_sqrt<T, T>(stV[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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bool bXZsame = shape::haveSameShapeAndStrides(gradientShapeInfo, updateShapeInfo);
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bool bXInVSame = shape::haveSameShapeAndStrides(gradientShapeInfo, initStateVShapeInfo);
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bool bXStVSame = shape::haveSameShapeAndStrides(gradientShapeInfo, stateVShapeInfo);
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bool bXInMSame = shape::haveSameShapeAndStrides(gradientShapeInfo, initStateMShapeInfo);
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bool bXStMSame = shape::haveSameShapeAndStrides(gradientShapeInfo, stateMShapeInfo);
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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(gradRank, 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(gradRank, 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(gradRank, 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(gradRank, 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(gradRank, stateMStride, coords, stMOffset);
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}
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auto oneMinusBeta1Grad = grad[xOffset] * mbeta1;
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stM[stMOffset] = beta1 * initM[initMOffset] + oneMinusBeta1Grad;
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stV[stVOffset] = beta2 * initV[initVOffset] + grad[xOffset] * grad[xOffset] * mbeta2;
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up[zOffset] = (lr * ((stM[stMOffset] * beta1 + oneMinusBeta1Grad) / mbeta1T)) /
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(sd::math::sd_sqrt<T, T>(stV[stVOffset]) + 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 updaterNadam(sd::LaunchContext* context, NDArray& gradient, NDArray& initStateV,
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NDArray& initStateM, NDArray& update, NDArray& stateV, NDArray& stateM, const double dLr,
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const double dBeta1, const double dBeta2, const double dEpsilon, const int nIteration) {
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BUILD_SINGLE_SELECTOR(
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gradient.dataType(), nadamUpdater_,
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(gradient, initStateV, initStateM, update, stateV, stateM, dLr, dBeta1, 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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