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

99 lines
4.0 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
******************************************************************************/
//
// @author Yurii Shyrma (iuriish@yahoo.com), created on 1.08.2018
//
#include <op_boilerplate.h>
#if NOT_EXCLUDED(OP_scatter_max)
#include <ops/declarable/CustomOperations.h>
#include <ops/declarable/generic/helpers/ScatterHelper.h>
namespace nd4j {
namespace ops {
OP_IMPL(scatter_max, 3, 1, true) {
auto input = INPUT_VARIABLE(0);
auto indices = INPUT_VARIABLE(1);
auto updates = INPUT_VARIABLE(2);
auto output = OUTPUT_VARIABLE(0);
if (!block.isInplace())
output->assign(input);
const bool lock = block.getBArguments()->empty() ? false : B_ARG(0);
const bool checkIndices = block.getBArguments()->size() <= 1 ? false : B_ARG(1);
const int inRank = input->rankOf();
const int indRank = indices->rankOf();
const int updRank = updates->rankOf();
REQUIRE_TRUE(inRank > 0, 0, "SCATTER_MAX OP: input should not be scalar !");
if(inRank == 1) {
REQUIRE_TRUE(indices->isSameShape(updates), 0, "SCATTER_MAX OP: when input array has rank = 1 then indices and updates must have the same shapes, but got %s and %s correspondingly !", ShapeUtils::shapeAsString(indices).c_str(), ShapeUtils::shapeAsString(updates).c_str());
}
else if (inRank == updRank && indices->isVector()) {
std::vector<Nd4jLong> updShape = updates->getShapeAsVector();
std::vector<Nd4jLong> inShape = input->getShapeAsVector();
std::vector<Nd4jLong> expectedUpdShape = {indices->lengthOf()};
expectedUpdShape.insert(expectedUpdShape.end(), inShape.begin()+1, inShape.end());
REQUIRE_TRUE(expectedUpdShape == updShape, 0, "SCATTER_MAX OP: wrong shape of updates array, expected is %s, but got %s instead !", ShapeUtils::shapeAsString(expectedUpdShape).c_str(), ShapeUtils::shapeAsString(updShape).c_str());
}
else {
REQUIRE_TRUE(updRank == indRank + inRank - 1, 0, "SCATTER_MAX OP: wrong rank of updates array, expected is %i, but got %i instead !", indRank + inRank - 1 , updRank);
std::vector<Nd4jLong> updShape = updates->getShapeAsVector();
std::vector<Nd4jLong> inShape = input->getShapeAsVector();
std::vector<Nd4jLong> expectedUpdShape = indices->getShapeAsVector();
expectedUpdShape.insert(expectedUpdShape.end(), inShape.begin()+1, inShape.end());
REQUIRE_TRUE(expectedUpdShape == updShape, 0, "SCATTER_MAX OP: wrong shape of updates array, expected is %s, but got %s instead !", ShapeUtils::shapeAsString(expectedUpdShape).c_str(), ShapeUtils::shapeAsString(updShape).c_str());
}
if (!indices->isEmpty()) {
if(checkIndices) {
const Nd4jLong numOfBadIndx = helpers::checkIndices(block.launchContext(), *indices, *output, 0);
REQUIRE_TRUE(numOfBadIndx == 0, 0, "SCATTER_MAX OP: please check elements of indices-array, total number of wrong elements is %lld!", numOfBadIndx);
}
helpers::scatter(block.launchContext(), pairwise::MaxPairwise, *indices, *updates, *output, lock);
}
return Status::OK();
}
DECLARE_SYN(ScatterMax, scatter_max);
DECLARE_TYPES(scatter_max) {
getOpDescriptor()
->setAllowedInputTypes(0, {ALL_INTS, ALL_FLOATS})
->setAllowedInputTypes(1, {ALL_INTS})
->setAllowedInputTypes(2, {ALL_INTS, ALL_FLOATS})
->setAllowedOutputTypes({ALL_INTS, ALL_FLOATS});
}
}
}
#endif