229 lines
8.5 KiB
C++
229 lines
8.5 KiB
C++
/*******************************************************************************
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* Copyright (c) 2015-2018 Skymind, Inc.
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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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* 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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// @author Yurii Shyrma (iuriish@yahoo.com)
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//
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#include <TrueBroadcastHelper.h>
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#include <ops/ops.h>
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#include <execution/Threads.h>
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using namespace simdOps;
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namespace nd4j {
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namespace helpers {
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////////////////////////////////////////////////////////////////////////
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template <typename X, typename Y, typename Z>
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template<typename OpType>
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void TrueBroadcastHelper<X, Y, Z>::exec(const NDArray& xArr, const NDArray& yArr, NDArray& zArr) {
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const X* x = reinterpret_cast<X*>(xArr.getBuffer());
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const Y* y = reinterpret_cast<Y*>(yArr.getBuffer());
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Z* z = reinterpret_cast<Z*>(zArr.getBuffer());
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const auto xShapeInfo = xArr.getShapeInfo();
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const auto yShapeInfo = yArr.getShapeInfo();
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const auto zShapeInfo = zArr.getShapeInfo();
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const int xRank = xArr.rankOf();
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const int yRank = yArr.rankOf();
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const int zRank = zArr.rankOf();
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const Nd4jLong zLen = zArr.lengthOf();
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auto func = PRAGMA_THREADS_FOR {
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std::vector<Nd4jLong> xCoords(xArr.rankOf()), yCoords(yArr.rankOf()), zCoords(zArr.rankOf());
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for (auto i = start; i < stop; ++i) {
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shape::index2coords(i, zShapeInfo, zCoords.data());
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for (int ix = xRank - 1, iy = yRank - 1, iz = zRank - 1; iz >= 0; --iz) {
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if (ix >= 0) {
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if (xShapeInfo[ix + 1] == zShapeInfo[iz + 1]) {
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xCoords[ix--] = zCoords[iz];
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} else {
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xCoords[ix--] = 0;
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}
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}
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if (iy >= 0) {
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if (yShapeInfo[iy + 1] == zShapeInfo[iz + 1]) {
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yCoords[iy--] = zCoords[iz];
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} else {
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yCoords[iy--] = 0;
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}
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}
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}
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const auto xOffset = shape::getOffset(xShapeInfo, xCoords.data());
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const auto yOffset = shape::getOffset(yShapeInfo, yCoords.data());
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const auto zOffset = shape::getOffset(zShapeInfo, zCoords.data());
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z[zOffset] = OpType::op(x[xOffset], y[yOffset]);
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}
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};
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samediff::Threads::parallel_for(func, 0, zLen);
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}
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template <typename X, typename Y, typename Z>
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void TrueBroadcastHelper<X, Y, Z>::exec(const nd4j::broadcast::Ops opNum, const NDArray& xArr, const NDArray& yArr, NDArray& zArr) {
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DISPATCH_BY_OPNUM_TTT(exec, PARAMS(xArr, yArr, zArr), BROADCAST_OPS);
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}
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////////////////////////////////////////////////////////////////////////
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template <typename X, typename Z>
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template<typename OpType>
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void TrueBroadcastBoolHelper<X, Z>::exec(const NDArray& xArr, const NDArray& yArr, NDArray& zArr) {
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const X* x = reinterpret_cast<X*>(xArr.getBuffer());
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const X* y = reinterpret_cast<X*>(yArr.getBuffer());
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Z* z = reinterpret_cast<Z*>(zArr.getBuffer());
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const auto xShapeInfo = xArr.getShapeInfo();
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const auto yShapeInfo = yArr.getShapeInfo();
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const auto zShapeInfo = zArr.getShapeInfo();
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const int xRank = xArr.rankOf();
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const int yRank = yArr.rankOf();
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const int zRank = zArr.rankOf();
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const Nd4jLong zLen = zArr.lengthOf();
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auto func = PRAGMA_THREADS_FOR {
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std::vector<Nd4jLong> xCoords(xArr.rankOf()), yCoords(yArr.rankOf()), zCoords(zArr.rankOf());
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for (auto i = start; i < stop; ++i) {
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shape::index2coords(i, zShapeInfo, zCoords.data());
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for (int ix = xRank - 1, iy = yRank - 1, iz = zRank - 1; iz >= 0; --iz) {
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if (ix >= 0) {
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if (xShapeInfo[ix + 1] == zShapeInfo[iz + 1]) {
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xCoords[ix--] = zCoords[iz];
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} else {
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xCoords[ix--] = 0;
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}
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}
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if (iy >= 0) {
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if (yShapeInfo[iy + 1] == zShapeInfo[iz + 1]) {
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yCoords[iy--] = zCoords[iz];
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} else {
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yCoords[iy--] = 0;
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}
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}
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}
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const auto xOffset = shape::getOffset(xShapeInfo, xCoords.data());
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const auto yOffset = shape::getOffset(yShapeInfo, yCoords.data());
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const auto zOffset = shape::getOffset(zShapeInfo, zCoords.data());
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z[zOffset] = OpType::op(x[xOffset], y[yOffset], nullptr);
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}
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};
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samediff::Threads::parallel_for(func, 0, zLen);
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}
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template <typename X, typename Y>
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void TrueBroadcastBoolHelper<X, Y>::exec(const nd4j::broadcast::BoolOps opNum, const NDArray& xArr, const NDArray& yArr, NDArray& zArr) {
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DISPATCH_BY_OPNUM_TT(exec, PARAMS(xArr, yArr, zArr), BROADCAST_BOOL_OPS);
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}
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////////////////////////////////////////////////////////////////////////
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template <typename X>
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template<typename OpType>
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void TrueBroadcastIntHelper<X>::exec(const NDArray& xArr, const NDArray& yArr, NDArray& zArr) {
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const X* x = reinterpret_cast<X*>(xArr.getBuffer());
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const X* y = reinterpret_cast<X*>(yArr.getBuffer());
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X* z = reinterpret_cast<X*>(zArr.getBuffer());
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const auto xShapeInfo = xArr.getShapeInfo();
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const auto yShapeInfo = yArr.getShapeInfo();
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const auto zShapeInfo = zArr.getShapeInfo();
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const int xRank = xArr.rankOf();
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const int yRank = yArr.rankOf();
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const int zRank = zArr.rankOf();
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const Nd4jLong zLen = zArr.lengthOf();
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auto func = PRAGMA_THREADS_FOR {
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std::vector<Nd4jLong> xCoords(xArr.rankOf()), yCoords(yArr.rankOf()), zCoords(zArr.rankOf());
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for (auto i = start; i < stop; ++i) {
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shape::index2coords(i, zShapeInfo, zCoords.data());
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for (int ix = xRank - 1, iy = yRank - 1, iz = zRank - 1; iz >= 0; --iz) {
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if (ix >= 0) {
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if (xShapeInfo[ix + 1] == zShapeInfo[iz + 1]) {
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xCoords[ix--] = zCoords[iz];
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} else {
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xCoords[ix--] = 0;
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}
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}
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if (iy >= 0) {
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if (yShapeInfo[iy + 1] == zShapeInfo[iz + 1]) {
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yCoords[iy--] = zCoords[iz];
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} else {
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yCoords[iy--] = 0;
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}
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}
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}
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const auto xOffset = shape::getOffset(xShapeInfo, xCoords.data());
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const auto yOffset = shape::getOffset(yShapeInfo, yCoords.data());
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const auto zOffset = shape::getOffset(zShapeInfo, zCoords.data());
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z[zOffset] = OpType::op(x[xOffset], y[yOffset]);
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}
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};
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samediff::Threads::parallel_for(func, 0, zLen);
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}
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template <typename X>
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void TrueBroadcastIntHelper<X>::exec(const nd4j::broadcast::IntOps opNum, const NDArray& xArr, const NDArray& yArr, NDArray& zArr) {
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DISPATCH_BY_OPNUM_T(exec, PARAMS(xArr, yArr, zArr), BROADCAST_INT_OPS);
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}
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BUILD_PAIRWISE_TEMPLATE(template class ND4J_EXPORT TrueBroadcastHelper, , PAIRWISE_TYPES_0);
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BUILD_PAIRWISE_TEMPLATE(template class ND4J_EXPORT TrueBroadcastHelper, , PAIRWISE_TYPES_1);
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BUILD_PAIRWISE_TEMPLATE(template class ND4J_EXPORT TrueBroadcastHelper, , PAIRWISE_TYPES_2);
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BUILD_PAIRWISE_TEMPLATE(template class ND4J_EXPORT TrueBroadcastHelper, , PAIRWISE_TYPES_3);
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BUILD_PAIRWISE_TEMPLATE(template class ND4J_EXPORT TrueBroadcastHelper, , PAIRWISE_TYPES_4);
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BUILD_PAIRWISE_TEMPLATE(template class ND4J_EXPORT TrueBroadcastHelper, , PAIRWISE_TYPES_5);
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BUILD_PAIRWISE_TEMPLATE(template class ND4J_EXPORT TrueBroadcastHelper, , PAIRWISE_TYPES_6);
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BUILD_PAIRWISE_TEMPLATE(template class ND4J_EXPORT TrueBroadcastHelper, , PAIRWISE_TYPES_7);
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BUILD_PAIRWISE_TEMPLATE(template class ND4J_EXPORT TrueBroadcastHelper, , PAIRWISE_TYPES_8);
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BUILD_PAIRWISE_TEMPLATE(template class ND4J_EXPORT TrueBroadcastHelper, , PAIRWISE_TYPES_9);
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BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT TrueBroadcastBoolHelper, , LIBND4J_TYPES, BOOL_TYPES);
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BUILD_SINGLE_TEMPLATE(template class ND4J_EXPORT TrueBroadcastIntHelper, , INTEGER_TYPES);
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}
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} |