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deeplearning4j--deeplearning4j/libnd4j/include/ops/declarable/impl/LegacyBroadcastOp.cpp
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2026-07-13 12:47:05 +08:00

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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
******************************************************************************/
//
// Created by raver119 on 17.10.2017.
//
#include <helpers/ConstantTadHelper.h>
#include <helpers/ShapeUtils.h>
#include <ops/declarable/LegacyBroadcastOp.h>
#include <ops/declarable/helpers/axis.h>
#include <ops/declarable/OpRegistrator.h>
#include <legacy/NativeOpExecutioner.h>
namespace sd {
namespace ops {
Status LegacyBroadcastOp::validateAndExecute(Context &block) {
auto x = INPUT_VARIABLE(0);
auto y = INPUT_VARIABLE(1);
auto z = OUTPUT_VARIABLE(0);
NDArray::prepareSpecialUse({z}, {x, y});
std::vector<LongType> dims(*block.getAxis());
if (dims.size() == 0 && block.width() > 2) {
auto axis = INPUT_VARIABLE(2);
helpers::adjustAxis(x->rankOf(), axis, dims);
}
if (dims.size() > 0) std::sort(dims.begin(), dims.end());
int opNum = block.opNum() < 0 ? this->_opNum : block.opNum();
auto packX = ConstantTadHelper::getInstance().tadForDimensions(x->shapeInfo(), &dims);
auto tadLen = shape::length(packX->primaryShapeInfo());
REQUIRE_TRUE(tadLen == y->lengthOf(), 0,
"Length of broadcast TAD should be equal to length of Y operand, but got [%i] vs [%i]", tadLen,
(int)y->lengthOf());
PointersManager manager(block.launchContext(), "LegacyBroadcastOp");
auto pTadShape = Environment::getInstance().isCPU()
? packX->primaryShapeInfo()
: packX->specialShapeInfo();
auto pTadOffsets = Environment::getInstance().isCPU()
? packX->primaryOffsets()
: packX->specialOffsets();
if (x == z)
NativeOpExecutioner::execBroadcast(block.launchContext(), opNum, x->buffer(), x->shapeInfo(), x->specialBuffer(),
x->specialShapeInfo(), y->buffer(), y->shapeInfo(), y->specialBuffer(),
y->specialShapeInfo(), z->buffer(), z->shapeInfo(), z->specialBuffer(),
z->specialShapeInfo(), dims.data(), dims.size(), pTadShape, pTadOffsets,
pTadShape, pTadOffsets);
else {
// this is rare, but possible use case - X and Z might have different shapes/strides/orders. In this case we prepare
// and pass separate TAD info
auto packZ = ConstantTadHelper::getInstance().tadForDimensions(z->shapeInfo(), &dims);
auto zTadShape = Environment::getInstance().isCPU()
? packZ->primaryShapeInfo()
: packZ->specialShapeInfo();
auto zTadOffsets = Environment::getInstance().isCPU()
? packZ->primaryOffsets()
: packZ->specialOffsets();
NativeOpExecutioner::execBroadcast(block.launchContext(), opNum, x->buffer(), x->shapeInfo(), x->specialBuffer(),
x->specialShapeInfo(), y->buffer(), y->shapeInfo(), y->specialBuffer(),
y->specialShapeInfo(), z->buffer(), z->shapeInfo(), z->specialBuffer(),
z->specialShapeInfo(), dims.data(), dims.size(), pTadShape, pTadOffsets,
zTadShape, zTadOffsets);
}
manager.synchronize();
traceExecIfNeeded(block);
STORE_RESULT(*z);
return Status::OK;
}
LegacyBroadcastOp::LegacyBroadcastOp() : LegacyOp(2) {
//
}
LegacyBroadcastOp::LegacyBroadcastOp(int opNum) : LegacyOp(2, opNum) {
//
}
LegacyOp *LegacyBroadcastOp::clone() { return new LegacyBroadcastOp(this->_opNum); }
/**
* If external NDArray wasn't specified - the same shape is returned by all broadcast ops.
*/
ShapeList *LegacyBroadcastOp::calculateOutputShape(ShapeList *inputShape, Context &block) {
auto inShape = inputShape->at(0);
// FIXME: remove memcpy
LongType *newShape;
ALLOCATE(newShape, block.getWorkspace(), shape::shapeInfoLength(inShape), sd::LongType);
memcpy(newShape, inShape, shape::shapeInfoByteLength(inShape));
return SHAPELIST(CONSTANT(newShape));
}
} // namespace ops
} // namespace sd