cavis/libnd4j/include/ops/declarable/generic/parity_ops/nth_element.cpp

79 lines
3.3 KiB
C++

/*******************************************************************************
* 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 GS <sgazeos@gmail.com> at 3/30/2018
//
#include <ops/declarable/CustomOperations.h>
#include <ops/declarable/helpers/nth_element.h>
namespace sd {
namespace ops {
CUSTOM_OP_IMPL(nth_element, 2, 1, false, 0, 0) {
auto input = INPUT_VARIABLE(0);
auto n = INPUT_VARIABLE(1);
bool reverse = false;
if (block.getIArguments()->size() > 0)
reverse = (bool)INT_ARG(0);
auto output = OUTPUT_VARIABLE(0);
Nd4jLong lastDim = input->sizeAt(-1);
int nVal = n->e<int>(0);
REQUIRE_TRUE(nVal < lastDim && nVal >= 0, 0, "nth_element: n should be non-negative and less than last dimension size (%lld), but %i was given.", lastDim, n);
REQUIRE_TRUE(input->rankOf() > 0, 0, "nth_element: The rank of input array should be at least 1, but %i is given", input->rankOf()); //
if (output->lengthOf() == input->lengthOf())
output->assign(input);
else {
// if (!input->isVector() && reverse)
// n->assign(lastDim - n->e<Nd4jLong>(0) - 1);
helpers::nthElementFunctor(block.launchContext(), input, nVal, output, reverse);
}
return ND4J_STATUS_OK;
}
DECLARE_SHAPE_FN(nth_element) {
auto in = inputShape->at(0);
int outRank = shape::rank(in) - 1;
Nd4jLong const* outShape = nullptr;
if (outRank > 1) {
Nd4jLong *outputShape = nullptr;
ALLOCATE(outputShape, block.getWorkspace(), shape::shapeInfoLength(outRank), Nd4jLong);
outputShape[0] = outRank;
for (Nd4jLong e = 0; e < outRank; e++)
outputShape[e + 1] = in[e + 1];
ShapeUtils::updateStridesAndType(outputShape, in, shape::order(in));
outShape = CONSTANT(outputShape);
}
else if (outRank == 1) {
outShape = ConstantShapeHelper::getInstance().vectorShapeInfo(shape::sizeAt(in, 0), ArrayOptions::dataType(in));
}
else {
//outputShape = shape::createScalarShapeInfo();
outShape = ConstantShapeHelper::getInstance().scalarShapeInfo(ArrayOptions::dataType(in));
}
return SHAPELIST(outShape);
}
DECLARE_TYPES(nth_element) {
getOpDescriptor()
->setAllowedInputTypes(sd::DataType::ANY)
->setAllowedOutputTypes(sd::DataType::ANY);
}
}
}