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

111 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 sgazeos@gmail.com
//
#include <ops/declarable/helpers/listdiff.h>
#include <vector>
//#include <memory>
namespace nd4j {
namespace ops {
namespace helpers {
template <typename T>
static Nd4jLong listDiffCount_(NDArray* values, NDArray* keep) {
Nd4jLong saved = 0L;
for (Nd4jLong e = 0; e < values->lengthOf(); e++) {
auto v = values->e<double>(e);
ExtraArguments extras({v, 0.0, 10.0});
NDArray idx = keep->indexReduceNumber(indexreduce::FirstIndex, &extras);
Nd4jLong index = idx.e<Nd4jLong>(0);
if (index < 0)
saved++;
}
return saved;
}
Nd4jLong listDiffCount(nd4j::LaunchContext * context, NDArray* values, NDArray* keep) {
auto xType = values->dataType();
BUILD_SINGLE_SELECTOR(xType, return listDiffCount_, (values, keep), LIBND4J_TYPES);
}
BUILD_SINGLE_TEMPLATE(template Nd4jLong listDiffCount_, (NDArray* values, NDArray* keep);, LIBND4J_TYPES);
template <typename T>
static int listDiffFunctor_(NDArray* values, NDArray* keep, NDArray* output1, NDArray* output2) {
std::vector<T> saved;
std::vector<Nd4jLong> indices;
for (Nd4jLong e = 0; e < values->lengthOf(); e++) {
auto v = values->e<double>(e);
ExtraArguments extras({v, 0.0, 10.0});
NDArray idxScalar = keep->indexReduceNumber(indexreduce::FirstIndex, &extras);
Nd4jLong idx = idxScalar.e<Nd4jLong>(0);
if (idx < 0) {
saved.emplace_back(v);
indices.emplace_back(e);
}
}
if (saved.size() == 0) {
// if (nd4j::ops::conditionHelper(__FILE__, __LINE__, false, 0, "ListDiff: search returned no results") != 0)
nd4j_printf("ListDiff: search returned no results", "");
throw std::invalid_argument("Op validation failed");
} else {
auto z0 = output1;//OUTPUT_VARIABLE(0); //new NDArray<T>('c', {(int) saved.size()});
auto z1 = output2; //OUTPUT_VARIABLE(1); //new NDArray<T>('c', {(int) saved.size()});
if (z0->lengthOf() != saved.size()) {
nd4j_printf("ListDiff: output/actual size mismatch", "");
throw std::invalid_argument("Op validation failed");
}
if (z1->lengthOf() != saved.size()) {
nd4j_printf("ListDiff: output/actual indices size mismatch", "");
throw std::invalid_argument("Op validation failed");
}
memcpy(z0->buffer(), saved.data(), saved.size() * sizeof(T));
for (int e = 0; e < indices.size(); e++) {
z1->p(e, indices[e]);
}
}
return ND4J_STATUS_OK;
}
int listDiffFunctor(nd4j::LaunchContext * context, NDArray* values, NDArray* keep, NDArray* output1, NDArray* output2) {
auto xType = values->dataType();
if (DataTypeUtils::isR(xType)) {
BUILD_SINGLE_SELECTOR(xType, return listDiffFunctor_, (values, keep, output1, output2), FLOAT_TYPES);
} else if (DataTypeUtils::isZ(xType)) {
BUILD_SINGLE_SELECTOR(xType, return listDiffFunctor_, (values, keep, output1, output2), INTEGER_TYPES);
} else {
throw std::runtime_error("ListDiff: Only integer and floating point data types are supported");
}
}
BUILD_SINGLE_TEMPLATE(template int listDiffFunctor_, (NDArray* values, NDArray* keep, NDArray* output1, NDArray* output2);, FLOAT_TYPES);
BUILD_SINGLE_TEMPLATE(template int listDiffFunctor_, (NDArray* values, NDArray* keep, NDArray* output1, NDArray* output2);, INTEGER_TYPES);
}
}
}