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deeplearning4j--deeplearning4j/libnd4j/include/ops/declarable/impl/LegacyStatsOp.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 <array/DataTypeUtils.h>
#include <helpers/ConstantTadHelper.h>
#include <helpers/ShapeUtils.h>
#include <ops/declarable/LegacyStatsOp.h>
#include <ops/declarable/OpRegistrator.h>
#include <legacy/NativeOpExecutioner.h>
namespace sd {
namespace ops {
Status LegacyStatsOp::validateAndExecute(Context &block) {
auto x = INPUT_VARIABLE(0);
auto z = OUTPUT_VARIABLE(0);
NDArray::prepareSpecialUse({z}, {x});
// we assume that opNuk is either stored in block, or was provided via op constructor
int opNum = block.opNum() < 0 ? this->_opNum : block.opNum();
// bias goes as first argument, unlike all other reductions
bool biasCorrected = false;
if (block.getIArguments()->size() > 0) biasCorrected = INT_ARG(0) > 0;
ExtraArguments extras(*block.getTArguments());
PointersManager manager(block.launchContext(), "LegacyStatsOp");
if (block.getIArguments()->size() == 1 ||
(block.getIArguments()->size() == 2 && INT_ARG(1) == DataTypeUtils::max<int>())) {
// scalar
NativeOpExecutioner::execSummaryStatsScalar(block.launchContext(), opNum, x->buffer(), x->shapeInfo(),
x->specialBuffer(), x->specialShapeInfo(),
extras.argumentsAsT(z->dataType()), z->buffer(), z->shapeInfo(),
z->specialBuffer(), z->specialShapeInfo(), biasCorrected);
} else {
// dimensions for TAD
// we should skip first argument here, because it's addressing bias correction
std::vector<LongType> dims(*block.getIArguments());
for (size_t e = 0; e < dims.size(); e++)
if (dims[e] < 0) dims[e] += x->rankOf();
REQUIRE_TRUE(dims.size() > 0, 0, "Some dimensions requuired for reduction!");
auto packX = ConstantTadHelper::getInstance().tadForDimensions(x->shapeInfo(), &dims);
auto pTadShape = Environment::getInstance().isCPU()
? packX->primaryShapeInfo()
: packX->specialShapeInfo();
auto pTadOffsets = Environment::getInstance().isCPU()
? packX->primaryOffsets()
: packX->specialOffsets();
NativeOpExecutioner::execSummaryStats(block.launchContext(), opNum, x->buffer(), x->shapeInfo(), x->specialBuffer(),
x->specialShapeInfo(), extras.argumentsAsT(z->dataType()), z->buffer(),
z->shapeInfo(), z->specialBuffer(), z->specialShapeInfo(), dims.data(),
(int)dims.size(), pTadShape, pTadOffsets, biasCorrected);
}
manager.synchronize();
STORE_RESULT(*z);
traceExecIfNeeded(block);
return Status::OK;
}
LegacyStatsOp::LegacyStatsOp() : LegacyOp(1) {
//
}
LegacyStatsOp::LegacyStatsOp(int opNum) : LegacyOp(1, opNum) {
//
}
LegacyOp *LegacyStatsOp::clone() { return new LegacyStatsOp(this->_opNum); }
/**
* For all reductions rules are simple: either you return scalar, or you return reduced NDArray.
* It solely depends on input shape, and requested dimensions
*/
ShapeList *LegacyStatsOp::calculateOutputShape(ShapeList *inputShape, Context &block) {
auto inShape = inputShape->at(0);
LongType *newShape;
if (block.getIArguments()->size() == 0 ||
(block.getIArguments()->size() == 1 && INT_ARG(0) == DataTypeUtils::max<int>())) {
// in this case we just return scalar
ALLOCATE(newShape, block.getWorkspace(), shape::shapeInfoLength(2), sd::LongType);
newShape[0] = 2;
newShape[1] = 1;
newShape[2] = 1;
newShape[3] = 1;
newShape[4] = 1;
newShape[5] = 0;
newShape[6] = 1;
newShape[7] = 99;
} else {
sd::LongType *xShape2 = ShapeUtils::evalReduceShapeInfo('c', block.getIArguments(), inShape, false, true);
return SHAPELIST(xShape2);
}
return SHAPELIST(CONSTANT(newShape));
}
} // namespace ops
} // namespace sd