wehub-resource-sync
82 lines
2.6 KiB
C++
82 lines
2.6 KiB
C++
/* ******************************************************************************
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*
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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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* See the NOTICE file distributed with this work for additional
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* information regarding copyright ownership.
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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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#include <system/selective_rendering.h>
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#if NOT_EXCLUDED(OP_histogram)
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namespace sd {
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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 const *xBuffer, sd::LongType const *xShapeInfo, void *zBuffer,
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sd::LongType const *zShapeInfo, sd::LongType numBins, double min_val, double max_val) {
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auto dx = reinterpret_cast<X const *>(xBuffer);
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auto result = reinterpret_cast<Z *>(zBuffer);
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int length = shape::length(xShapeInfo);
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X binSize = static_cast<X>((max_val - min_val) / (numBins));
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// FIXME: this op should be parallelized
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{
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int *bins = new int[numBins];
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std::memset(bins, 0, sizeof(int) * numBins);
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PRAGMA_OMP_SIMD
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for (int x = 0; x < length; 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_SIMD
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for (sd::LongType x = 0; x < numBins; x++) {
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result[x] += bins[x];
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}
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delete[] bins;
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}
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}
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void histogramHelper(sd::LaunchContext *context, NDArray &input, NDArray &output) {
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sd::LongType numBins = output.lengthOf();
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auto min = input.reduceNumber(reduce::SameOps::Min);
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auto max = input.reduceNumber(reduce::SameOps::Max);
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double min_val = min->e<double>(0);
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double max_val = max->e<double>(0);
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auto inputDType = input.dataType();
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auto outputDType = output.dataType();
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BUILD_DOUBLE_SELECTOR(
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input.dataType(), output.dataType(), histogram_,
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(input.buffer(), input.shapeInfo(), output.buffer(), output.shapeInfo(), numBins, min_val, max_val),
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SD_COMMON_TYPES, SD_INDEXING_TYPES);
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delete min;
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delete max;
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}
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} // namespace helpers
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} // namespace ops
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} // namespace sd
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#endif |