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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* 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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// @author raver119@gmail.com
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//
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#ifndef LIBND4J_BROADCAST_HELPER_H
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#define LIBND4J_BROADCAST_HELPER_H
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#include <array/NDArray.h>
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#include <array/NDArrayFactory.h>
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#include <helpers/ShapeUtils.h>
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#include <ops/BroadcastBoolOpsTuple.h>
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#include <ops/BroadcastOpsTuple.h>
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namespace sd {
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namespace ops {
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class BroadcastHelper {
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public:
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static SD_INLINE NDArray* broadcastApply(BroadcastOpsTuple op, NDArray* x, NDArray* y, NDArray* z,
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ExtraArguments* extraArgs = nullptr) {
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if (x->isEmpty() || y->isEmpty()) {
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return z;
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}
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if (x->lengthOf() > 1 && y->lengthOf() > 1 && x->isSameShape(y)) {
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x->applyPairwiseTransform(op.p, y, z, extraArgs);
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} else if (x->lengthOf() > 1 && y->lengthOf() <= 1) {
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x->applyScalarArr(op.s, y, z);
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} else if (x->lengthOf() <= 1 && y->lengthOf() > 1) {
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NDArray &xRef = *x;
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NDArray &yRef = *y;
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if (z->isSameShape(y)) {
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if (op.s == scalar::Add || op.s == scalar::Multiply) {
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y->applyScalarArr(op.s, x, z);
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} else if (op.s == scalar::SquaredSubtract) {
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y->applyScalarArr(scalar::SquaredReverseSubtract, x, z);
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} else if (op.s == scalar::Subtract) {
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y->applyScalarArr(scalar::ReverseSubtract, x, z);
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} else if (op.s == scalar::Divide) {
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y->applyScalarArr(scalar::ReverseDivide, x, z);
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} else if (op.s == scalar::Pow) {
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y->applyScalarArr(scalar::ReversePow, x, z);
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} else if (op.s == scalar::ReverseSubtract) {
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y->applyScalarArr(scalar::Subtract, x, z);
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} else if (op.s == scalar::ReverseDivide) {
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y->applyScalarArr(scalar::Divide, x, z);
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} else if (op.s == scalar::MaxPairwise || op.s == scalar::MinPairwise || op.s == scalar::AMaxPairwise ||
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op.s == scalar::AMinPairwise) {
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y->applyScalarArr(op.s, x, z);
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} else if (op.s == scalar::CopyPws) {
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z->assign(&yRef);
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} else {
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z->assign(&xRef);
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z->applyPairwiseTransform(op.p, y, extraArgs);
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}
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return z;
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} else {
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auto v = y->getShapeAsVector();
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auto tZ = NDArrayFactory::valueOf(v, y, y->ordering());
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tZ->applyPairwiseTransform(op.p, y, extraArgs);
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return tZ;
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}
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} else if (x->lengthOf() <= 1 && y->lengthOf() <= 1) {
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x->applyScalarArr(op.s, y, z);
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} else if (ShapeUtils::areShapesBroadcastable(*x, *y)) {
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x->applyTrueBroadcast(op, y, z, true, extraArgs);
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return z;
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} else {
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auto sx = ShapeUtils::shapeAsString(x);
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auto sy = ShapeUtils::shapeAsString(y);
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sd_printf("Broadcast: shapes should be equal, or broadcastable. But got %s vs %s instead\n", sx.c_str(),
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sy.c_str());
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return nullptr;
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}
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return z;
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}
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static SD_INLINE NDArray* broadcastApply(BroadcastBoolOpsTuple op, NDArray* x, NDArray* y, NDArray* z,
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ExtraArguments* extraArgs = nullptr) {
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if (x->isEmpty() || y->isEmpty()) {
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if (!z->isEmpty()) {
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std::string errorMessage;
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errorMessage += "BroadcastHelper::broadcastApply: when some of input arrays (or both) is empty, output array must be empty as well !";
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errorMessage += "X is empty: ";
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errorMessage += std::to_string(x->isEmpty());
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errorMessage += "Y is empty: ";
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errorMessage += std::to_string(y->isEmpty());
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THROW_EXCEPTION(
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errorMessage.c_str());
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}
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return z;
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}
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if (!x->isScalar() && !y->isScalar() && x->isSameShape(y)) {
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x->applyPairwiseTransform(op.p, y, z);
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} else if (ShapeUtils::areShapesBroadcastable(*x, *y)) {
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x->applyTrueBroadcast(op, y, z, true, extraArgs);
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return z;
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} else if (!x->isScalar() && y->isScalar()) {
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x->applyScalarArr(op.s, y, z);
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} else if (x->isScalar() && !y->isScalar()) {
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if (z->isSameShape(y)) {
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x->applyPairwiseTransform(op.p, y, z, extraArgs);
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return z;
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} else {
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auto v = y->getShapeAsVector();
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auto tZ = NDArrayFactory::valueOf(v, y, y->ordering());
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return tZ;
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}
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} else if (x->isScalar() && y->isScalar()) { // x->isScalar() && y->isScalar()
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x->applyScalarArr(op.s, y, z);
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} else if (ShapeUtils::areShapesBroadcastable(*x, *y)) {
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x->applyTrueBroadcast(op, y, z, true, extraArgs);
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return z;
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} else {
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auto sx = ShapeUtils::shapeAsString(x);
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auto sy = ShapeUtils::shapeAsString(y);
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return nullptr;
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}
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return z;
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}
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};
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} // namespace ops
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} // namespace sd
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#endif
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@@ -0,0 +1,38 @@
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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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// @author raver119@gmail.com
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// @author Yurii Shyrma (iuriish@yahoo.com)
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//
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#ifndef LIBND4J_SCATTERHELPER_H
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#define LIBND4J_SCATTERHELPER_H
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#include <array/NDArray.h>
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#include <ops/declarable/helpers/scatter.h>
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#include <system/common.h>
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#include <system/op_boilerplate.h>
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#include <numeric>
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namespace sd {
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namespace ops {}
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} // namespace sd
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#endif
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