58 lines
2.3 KiB
C++
58 lines
2.3 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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// Created by raver119 on 24/09/18.
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//
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#include <ops/declarable/helpers/where.h>
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#include <array/NDArrayList.h>
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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 void __where(NDArray &condition, NDArray& output, memory::Workspace *workspace) {
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NDArrayList list(0, true);
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int cnt = 0;
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Nd4jLong idx[MAX_RANK];
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for (int e = 0; e < condition.lengthOf(); e++) {
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shape::index2coords(condition.rankOf(), condition.shapeOf(), e, idx);
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auto offset = shape::getOffset(0, condition.shapeOf(), condition.stridesOf(), idx, condition.rankOf());
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if (condition.e<bool>(offset)) {
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auto array = NDArrayFactory::create_('c', {1, condition.rankOf()}, output.dataType(), output.getContext());
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for (int f = 0; f < condition.rankOf(); f++)
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array->p(f, (T) idx[f]);
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list.write(cnt++, array);
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}
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}
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auto s = list.stack();
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output.assign(s);
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delete s;
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}
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BUILD_SINGLE_TEMPLATE(template void __where,(NDArray &condition, NDArray& output, memory::Workspace *workspace), LIBND4J_TYPES);
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void _where(nd4j::LaunchContext * context, NDArray &condition, NDArray& output, memory::Workspace *workspace) {
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BUILD_SINGLE_SELECTOR(output.dataType(), __where, (condition, output, workspace), LIBND4J_TYPES);
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}
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}
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}
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}
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