72 lines
2.9 KiB
C++
72 lines
2.9 KiB
C++
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/*******************************************************************************
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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 raver119@gmail.com
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//
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#include <ops/declarable/helpers/helpers.h>
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#include <ops/declarable/helpers/hamming.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 X, typename Z>
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static void _hamming(NDArray &x, NDArray &y, NDArray &z) {
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auto xEws = x.ews();
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auto yEws = y.ews();
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auto xBuffer = x.bufferAsT<X>();
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auto yBuffer = y.bufferAsT<X>();
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Nd4jLong distance = 0;
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if (xEws == 1 && yEws == 1 && x.ordering() == y.ordering()) {
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PRAGMA_OMP_PARALLEL_FOR_SIMD_REDUCTION(+:distance)
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for (Nd4jLong e = 0; e < x.lengthOf(); e++) {
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auto _x = static_cast<unsigned long long>(xBuffer[e]);
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auto _y = static_cast<unsigned long long>(yBuffer[e]);
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distance += __builtin_popcountll(_x ^ _y);
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}
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} else if (xEws > 1 && yEws > 1 && x.ordering() == y.ordering()) {
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PRAGMA_OMP_PARALLEL_FOR_SIMD_REDUCTION(+:distance)
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for (Nd4jLong e = 0; e < x.lengthOf(); e++) {
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auto _x = static_cast<unsigned long long>(xBuffer[e * xEws]);
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auto _y = static_cast<unsigned long long>(yBuffer[e * yEws]);
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distance += __builtin_popcountll(_x ^ _y);
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}
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} else {
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PRAGMA_OMP_PARALLEL_FOR_SIMD_REDUCTION(+:distance)
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for (Nd4jLong e = 0; e < x.lengthOf(); e++) {
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auto _x = static_cast<unsigned long long>(x.e<Nd4jLong>(e));
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auto _y = static_cast<unsigned long long>(y.e<Nd4jLong>(e));
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distance += __builtin_popcountll(_x ^ _y);
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}
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}
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z.p(0, distance);
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}
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void hamming(LaunchContext *context, NDArray &x, NDArray &y, NDArray &output) {
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BUILD_DOUBLE_SELECTOR(x.dataType(), output.dataType(), _hamming, (x, y, output), INTEGER_TYPES, INDEXING_TYPES);
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}
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}
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}
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}
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