cavis/libnd4j/include/ops/declarable/helpers/cpu/one_hot.cpp

97 lines
4.4 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 raver119@gmail.com
//
#include <helpers/TAD.h>
#include <helpers/ConstantTadHelper.h>
#include "../one_hot.h"
namespace nd4j {
namespace ops {
namespace helpers {
template <typename Z, typename I>
static void onehot_(void *voutput, Nd4jLong *zShapeInfo, void *vindices, Nd4jLong *iShapeInfo, int axis, double on, double off) {
auto output = reinterpret_cast<Z*>(voutput);
auto indices = reinterpret_cast<I*>(vindices);
auto tadPack = nd4j::ConstantTadHelper::getInstance()->tadForDimensions(zShapeInfo, {axis});
auto iLen = static_cast<unsigned int>(shape::length(iShapeInfo));
auto tLen = static_cast<unsigned int>(shape::length(tadPack.primaryShapeInfo()));
auto numTads = static_cast<unsigned int>(tadPack.numberOfTads());
auto tadEws = shape::elementWiseStride(tadPack.primaryShapeInfo());
if (iLen != numTads)
throw std::runtime_error("OneHot: number of TADs should be equal to number of indices");
if (shape::elementWiseStride(zShapeInfo) != 1 || shape::elementWiseStride(iShapeInfo) != 1)
throw std::runtime_error("OneHot: op expects output and indices to have elementWiseStride to be equal to 1");
Z zero = static_cast<Z>(off);
Z one = static_cast<Z>(on);
if (tadEws >= 1) {
PRAGMA_OMP_PARALLEL_FOR
for (unsigned int e = 0; e < numTads; e++) {
auto cO = output + tadPack.primaryOffsets()[e];
auto idx = static_cast<int>(indices[e]);
if (idx < 0 || idx >= tLen) {
PRAGMA_OMP_SIMD
for (unsigned int t = 0; t < tLen; t++) {
cO[t * tadEws] = zero;
}
} else {
PRAGMA_OMP_SIMD
for (unsigned int t = 0; t < tLen; t++) {
cO[t * tadEws] = idx == t ? one : zero;
}
}
}
} else {
PRAGMA_OMP_PARALLEL_FOR
for (unsigned int e = 0; e < numTads; e++) {
auto cO = output + tadPack.primaryOffsets()[e];
auto idx = static_cast<int>(indices[e]);
if (idx < 0 || idx >= tLen) {
PRAGMA_OMP_SIMD
for (unsigned int t = 0; t < tLen; t++) {
cO[shape::getIndexOffset(t, tadPack.primaryShapeInfo())] = zero;
}
} else {
PRAGMA_OMP_SIMD
for (unsigned int t = 0; t < tLen; t++) {
cO[shape::getIndexOffset(t, tadPack.primaryShapeInfo())] = idx == t ? one : zero;
}
}
}
}
}
void onehot(const nd4j::LaunchContext* context, const NDArray *indices, NDArray *output, const uint axis, const uint depth, const double on, const double off) {
auto zType = output->dataType();
auto iType = indices->dataType();
BUILD_DOUBLE_SELECTOR(zType, iType, onehot_, (output->buffer(), output->shapeInfo(), indices->getBuffer(), indices->getShapeInfo(), axis, on, off), LIBND4J_TYPES, LIBND4J_TYPES);
}
}
}
}