83 lines
3.1 KiB
C++
83 lines
3.1 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/histogram.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 histogram_(void *xBuffer, Nd4jLong *xShapeInfo, void *zBuffer, Nd4jLong *zShapeInfo, Nd4jLong numBins, double min_val, double max_val) {
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auto dx = reinterpret_cast<X*>(xBuffer);
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auto result = reinterpret_cast<Z*>(zBuffer);
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int length = shape::length(xShapeInfo);
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// FIXME: 2???
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int _threads = 2;
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int span = (length / _threads) + 8;
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X binSize = (max_val - min_val) / (numBins);
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PRAGMA_OMP_PARALLEL_THREADS(_threads)
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{
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int tid, start, end;
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int *bins = new int[numBins];
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std::memset(bins, 0, sizeof(int) * numBins);
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tid = omp_get_thread_num();
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start = span * tid;
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end = span * (tid + 1);
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if (end > length) end = length;
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PRAGMA_OMP_SIMD
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for (int x = start; x < end; x++) {
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int idx = (int) ((dx[x] - min_val) / binSize);
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if (idx < 0)
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idx = 0;
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else if (idx >= numBins)
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idx = numBins - 1;
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bins[idx]++;
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}
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PRAGMA_OMP_CRITICAL
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{
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PRAGMA_OMP_SIMD
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for (int x = 0; x < numBins; x++) {
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result[x] += bins[x];
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}
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}
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delete[] bins;
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}
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}
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void histogramHelper(nd4j::LaunchContext *context, NDArray &input, NDArray &output) {
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Nd4jLong numBins = output.lengthOf();
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double min_val = input.reduceNumber(reduce::SameOps::Min).e<double>(0);
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double max_val = input.reduceNumber(reduce::SameOps::Max).e<double>(0);
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BUILD_DOUBLE_SELECTOR(input.dataType(), output.dataType(), histogram_, (input.buffer(), input.shapeInfo(), output.getBuffer(), output.getShapeInfo(), numBins, min_val, max_val), LIBND4J_TYPES, INTEGER_TYPES);
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}
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}
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}
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}
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