111 lines
4.4 KiB
C++
111 lines
4.4 KiB
C++
/*******************************************************************************
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* Copyright (c) 2015-2018 Skymind, Inc.
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*
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* This program and the accompanying materials are made available under the
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* terms of the Apache License, Version 2.0 which is available at
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* https://www.apache.org/licenses/LICENSE-2.0.
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* License for the specific language governing permissions and limitations
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* under the License.
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*
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* SPDX-License-Identifier: Apache-2.0
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******************************************************************************/
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//
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// @author sgazeos@gmail.com
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//
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#include <ops/declarable/helpers/listdiff.h>
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#include <vector>
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//#include <memory>
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namespace nd4j {
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namespace ops {
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namespace helpers {
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template <typename T>
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static Nd4jLong listDiffCount_(NDArray* values, NDArray* keep) {
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Nd4jLong saved = 0L;
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for (Nd4jLong e = 0; e < values->lengthOf(); e++) {
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auto v = values->e<double>(e);
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ExtraArguments extras({v, 0.0, 10.0});
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NDArray idx = keep->indexReduceNumber(indexreduce::FirstIndex, &extras);
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Nd4jLong index = idx.e<Nd4jLong>(0);
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if (index < 0)
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saved++;
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}
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return saved;
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}
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Nd4jLong listDiffCount(nd4j::LaunchContext * context, NDArray* values, NDArray* keep) {
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auto xType = values->dataType();
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BUILD_SINGLE_SELECTOR(xType, return listDiffCount_, (values, keep), LIBND4J_TYPES);
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}
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BUILD_SINGLE_TEMPLATE(template Nd4jLong listDiffCount_, (NDArray* values, NDArray* keep);, LIBND4J_TYPES);
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template <typename T>
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static int listDiffFunctor_(NDArray* values, NDArray* keep, NDArray* output1, NDArray* output2) {
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std::vector<T> saved;
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std::vector<Nd4jLong> indices;
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for (Nd4jLong e = 0; e < values->lengthOf(); e++) {
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auto v = values->e<double>(e);
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ExtraArguments extras({v, 0.0, 10.0});
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NDArray idxScalar = keep->indexReduceNumber(indexreduce::FirstIndex, &extras);
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Nd4jLong idx = idxScalar.e<Nd4jLong>(0);
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if (idx < 0) {
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saved.emplace_back(v);
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indices.emplace_back(e);
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}
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}
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if (saved.size() == 0) {
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// if (nd4j::ops::conditionHelper(__FILE__, __LINE__, false, 0, "ListDiff: search returned no results") != 0)
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nd4j_printf("ListDiff: search returned no results", "");
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throw std::invalid_argument("Op validation failed");
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} else {
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auto z0 = output1;//OUTPUT_VARIABLE(0); //new NDArray<T>('c', {(int) saved.size()});
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auto z1 = output2; //OUTPUT_VARIABLE(1); //new NDArray<T>('c', {(int) saved.size()});
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if (z0->lengthOf() != saved.size()) {
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nd4j_printf("ListDiff: output/actual size mismatch", "");
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throw std::invalid_argument("Op validation failed");
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}
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if (z1->lengthOf() != saved.size()) {
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nd4j_printf("ListDiff: output/actual indices size mismatch", "");
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throw std::invalid_argument("Op validation failed");
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}
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memcpy(z0->buffer(), saved.data(), saved.size() * sizeof(T));
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for (int e = 0; e < indices.size(); e++) {
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z1->p(e, indices[e]);
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}
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}
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return ND4J_STATUS_OK;
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}
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int listDiffFunctor(nd4j::LaunchContext * context, NDArray* values, NDArray* keep, NDArray* output1, NDArray* output2) {
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auto xType = values->dataType();
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if (DataTypeUtils::isR(xType)) {
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BUILD_SINGLE_SELECTOR(xType, return listDiffFunctor_, (values, keep, output1, output2), FLOAT_TYPES);
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} else if (DataTypeUtils::isZ(xType)) {
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BUILD_SINGLE_SELECTOR(xType, return listDiffFunctor_, (values, keep, output1, output2), INTEGER_TYPES);
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} else {
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throw std::runtime_error("ListDiff: Only integer and floating point data types are supported");
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}
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}
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BUILD_SINGLE_TEMPLATE(template int listDiffFunctor_, (NDArray* values, NDArray* keep, NDArray* output1, NDArray* output2);, FLOAT_TYPES);
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BUILD_SINGLE_TEMPLATE(template int listDiffFunctor_, (NDArray* values, NDArray* keep, NDArray* output1, NDArray* output2);, INTEGER_TYPES);
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}
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}
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} |