cavis/libnd4j/include/ops/declarable/impl/LegacyScalarBoolOp.cpp

87 lines
3.7 KiB
C++
Raw Normal View History

2019-06-06 14:21:15 +02:00
/*******************************************************************************
* 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
******************************************************************************/
//
// Created by raver119 on 16.10.2017.
//
#include <ops/declarable/LegacyScalarBoolOp.h>
#include <NDArrayFactory.h>
#include <Status.h>
namespace nd4j {
namespace ops {
LegacyScalarBoolOp::LegacyScalarBoolOp() : LegacyOp::LegacyOp(1) {
// no-op
}
LegacyScalarBoolOp::LegacyScalarBoolOp(int opNum) : LegacyOp::LegacyOp(1, opNum){
// no-op
}
LegacyOp* LegacyScalarBoolOp::clone() {
return new LegacyScalarBoolOp(this->_opNum, *this->_scalar);
}
LegacyScalarBoolOp::LegacyScalarBoolOp(int opNum, NDArray &scalar) : LegacyOp::LegacyOp(1, opNum){
_scalar = scalar.dup(scalar.ordering());
}
ShapeList *LegacyScalarBoolOp::calculateOutputShape(ShapeList *inputShape, nd4j::graph::Context &block) {
auto inShape = inputShape->at(0);
Nd4jLong *newShape;
COPY_SHAPE(inShape, newShape);
return SHAPELIST(CONSTANT(newShape));
2019-06-06 14:21:15 +02:00
}
Nd4jStatus LegacyScalarBoolOp::validateAndExecute(Context &block) {
auto x = INPUT_VARIABLE(0);
auto z = OUTPUT_VARIABLE(0);
int opNum = block.opNum() < 0 ? this->_opNum : block.opNum();
ExtraArguments extras(*block.getTArguments());
PointersManager manager(block.launchContext(), "LegacyScalarBoolOp");
if (block.width() > 1) {
auto y = INPUT_VARIABLE(1);
NDArray::prepareSpecialUse({z}, {x, y});
NativeOpExecutioner::execScalarBool(block.launchContext(), opNum, x->getBuffer(), x->getShapeInfo(), x->specialBuffer(), x->specialShapeInfo(), z->getBuffer(), z->getShapeInfo(), z->specialBuffer(), z->specialShapeInfo(), y->buffer(), y->shapeInfo(), y->specialBuffer(), y->specialShapeInfo(), extras.argumentsAsT(x->dataType()));
} else if (block.getTArguments()->size() > 0) {
auto y = NDArrayFactory::create(T_ARG(0), block.launchContext());
NDArray::prepareSpecialUse({z}, {x, &y});
NativeOpExecutioner::execScalarBool(block.launchContext(), opNum, x->getBuffer(), x->getShapeInfo(), x->specialBuffer(), x->specialShapeInfo(),z->getBuffer(), z->getShapeInfo(),z->specialBuffer(), z->specialShapeInfo(), y.buffer(), y.shapeInfo(), y.specialBuffer(), y.specialShapeInfo(), extras.argumentsAsT(x->dataType(), 1));
manager.synchronize();
} else {
NDArray::prepareSpecialUse({z}, {x, _scalar});
NativeOpExecutioner::execScalarBool(block.launchContext(), opNum, x->getBuffer(), x->getShapeInfo(), x->specialBuffer(), x->specialShapeInfo(),z->getBuffer(), z->getShapeInfo(),z->specialBuffer(), z->specialShapeInfo(), _scalar->buffer(), _scalar->shapeInfo(), _scalar->specialBuffer(), _scalar->specialShapeInfo(), extras.argumentsAsT(x->dataType()));
}
manager.synchronize();
STORE_RESULT(*z);
return Status::OK();
}
}
}