cavis/libnd4j/include/helpers/benchmark/ReductionBenchmark.h

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/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
*
* 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.
*
* 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
******************************************************************************/
//
// @author raver119@gmail.com
//
#include <helpers/StringUtils.h>
#include <helpers/TAD.h>
#include "../OpBenchmark.h"
#ifndef DEV_TESTS_REDUCEBENCHMARK_H
#define DEV_TESTS_REDUCEBENCHMARK_H
using namespace nd4j::graph;
namespace nd4j {
class ND4J_EXPORT ReductionBenchmark : public OpBenchmark {
protected:
int _opType; //0=Float, 1=Same
public:
ReductionBenchmark() : OpBenchmark() {
//
}
ReductionBenchmark(reduce::FloatOps op, std::string testName, NDArray *x, NDArray *z, std::initializer_list<int> axis) : OpBenchmark(testName, x, z, axis) {
_opNum = (int) op;
_opType = 0;
}
ReductionBenchmark(reduce::SameOps op, std::string testName, NDArray *x, NDArray *z, std::initializer_list<int> axis) : OpBenchmark(testName, x, z, axis) {
_opNum = (int) op;
_opType = 1;
}
ReductionBenchmark(reduce::FloatOps op) : OpBenchmark() {
_opNum = (int) op;
_opType = 0;
}
ReductionBenchmark(reduce::FloatOps op, std::string testName) : OpBenchmark() {
_opNum = (int) op;
_opType = 0;
_testName = testName;
}
ReductionBenchmark(reduce::SameOps op) : OpBenchmark() {
_opNum = (int) op;
_opType = 1;
}
ReductionBenchmark(reduce::SameOps op, std::string testName) : OpBenchmark() {
_opNum = (int) op;
_opType = 1;
_testName = testName;
}
ReductionBenchmark(reduce::FloatOps op, std::string testName, NDArray *x, NDArray *z, std::vector<int> axis) : OpBenchmark(testName ,x, z, axis) {
_opNum = (int) op;
_opType = 0;
}
ReductionBenchmark(reduce::SameOps op, std::string testName, NDArray *x, NDArray *z, std::vector<int> axis) : OpBenchmark(testName ,x, z, axis) {
_opNum = (int) op;
_opType = 1;
}
void executeOnce() override {
PointersManager manager(LaunchContext::defaultContext(), "reductionBM");
if (_z->isScalar() || _y == nullptr)
if (_opType == 0)
NativeOpExecutioner::execReduceFloatScalar(LaunchContext::defaultContext(), _opNum, _x->buffer(), _x->shapeInfo(), _x->specialBuffer(), _x->specialShapeInfo(), nullptr, _z->buffer(), _z->shapeInfo(), _z->specialBuffer(), _z->specialShapeInfo());
else
NativeOpExecutioner::execReduceSameScalar(LaunchContext::defaultContext(), _opNum, _x->buffer(), _x->shapeInfo(), _x->specialBuffer(), _x->specialShapeInfo(), nullptr, _z->buffer(), _z->shapeInfo(), _z->specialBuffer(), _z->specialShapeInfo());
else {
auto pack = ConstantTadHelper::getInstance()->tadForDimensions(_x->shapeInfo(), _axis);
auto tadOnlyShapeInfo = Environment::getInstance()->isCPU() ? pack.primaryShapeInfo() : pack.specialShapeInfo();
auto tadOffsets = Environment::getInstance()->isCPU() ? pack.primaryOffsets() : pack.specialOffsets();
if (_opType == 0)
NativeOpExecutioner::execReduceFloat(LaunchContext::defaultContext(), _opNum, _x->buffer(), _x->shapeInfo(), _x->specialBuffer(), _x->specialShapeInfo(), nullptr, _z->buffer(), _z->shapeInfo(), _z->specialBuffer(), _z->specialShapeInfo(), nullptr, _axis.size(), tadOnlyShapeInfo, tadOffsets);
else
NativeOpExecutioner::execReduceSame(LaunchContext::defaultContext(), _opNum, _x->buffer(), _x->shapeInfo(), _x->specialBuffer(), _x->specialShapeInfo(), nullptr, _z->buffer(), _z->shapeInfo(), _z->specialBuffer(), _z->specialShapeInfo(), nullptr, _axis.size(), tadOnlyShapeInfo, tadOffsets);
}
manager.synchronize();
}
std::string orders() override {
std::string result;
result += _x->ordering();
result += "/";
result += _z == nullptr ? _x->ordering() : _z->ordering();
return result;
}
std::string strides() override {
std::string result;
result += ShapeUtils::strideAsString(_x);
return result;
}
std::string inplace() override {
return "n/a";
}
~ReductionBenchmark(){
delete _x;
delete _z;
}
std::string axis() override {
if (_axis.empty())
return "ALL";
else {
std::string result;
for (auto v:_axis) {
auto s = StringUtils::valueToString<int>(v);
result += s;
result += ",";
}
return result;
}
}
OpBenchmark* clone() override {
if (_opType == 0)
return new ReductionBenchmark((reduce::FloatOps) _opNum, _testName, _x, _z, _axis);
else
return new ReductionBenchmark((reduce::SameOps) _opNum, _testName, _x, _z, _axis);
}
};
}
#endif //DEV_TESTS_SCALARBENCHMARK_H