69d91e272a
* - new implementations for Index Reductions - small fix in the legacy reduction - disabled index reduction bench tests inside Playground Signed-off-by: Abdelrauf <rauf@konduit.ai> * Allow LIBND4J_TYPES Signed-off-by: Abdelrauf <rauf@konduit.ai> * index reduction stuff split into bunch of units * meh * IMax switched to new impl Signed-off-by: raver119@gmail.com <raver119@gmail.com> * minor fix + test * minor fix * index range fix Signed-off-by: Abdelrauf <rauf@konduit.ai> * noop on empty outputs * minor fix * minor fix Signed-off-by: Abdelrauf <rauf@konduit.ai> * ArgMax replaces IMax Signed-off-by: raver119@gmail.com <raver119@gmail.com> * argmax/argmin/argamax/argamin shape functions updated * ArgAmax/ArgAmin/ArgMin replaces IAMax/IAMin/IMin Signed-off-by: raver119@gmail.com <raver119@gmail.com> * argmax/argmin/argamax/argamin CUDA * IMax replaced in dl4j Signed-off-by: raver119@gmail.com <raver119@gmail.com> * Codegen output * imports fixed Signed-off-by: raver119@gmail.com <raver119@gmail.com> * fix compilation issue Signed-off-by: Abdelrauf <rauf@konduit.ai> * Auto-generate compilation units Signed-off-by: Abdelrauf <rauf@konduit.ai> * Should fix NDArray refactored function calls in indexReductions.cu Signed-off-by: Abdelrauf <rauf@konduit.ai> Co-authored-by: raver119@gmail.com <raver119@gmail.com> Co-authored-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
106 lines
6.2 KiB
Plaintext
106 lines
6.2 KiB
Plaintext
/*******************************************************************************
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* Copyright (c) 2020 Konduit K.K.
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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/reductions.h>
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#include <legacy/NativeOpExecutioner.h>
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#include <helpers/ConstantTadHelper.h>
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namespace sd {
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namespace ops {
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namespace helpers {
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//////////////////////////////////////////////////////////////////////////
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void argMax(const NDArray& input, NDArray& output, const std::vector<int>& dimensions) {
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NDArray::prepareSpecialUse({&output}, {&input});
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if (output.isScalar()) {
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NativeOpExecutioner::execIndexReduceScalar(LaunchContext::defaultContext(), indexreduce::Ops::IndexMax, input.buffer(), input.shapeInfo(), input.specialBuffer(), input.specialShapeInfo(), nullptr, output.buffer(), output.shapeInfo(), output.specialBuffer(), output.specialShapeInfo());
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}
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else {
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auto tadPack = sd::ConstantTadHelper::getInstance()->tadForDimensions(input.shapeInfo(), dimensions);
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NativeOpExecutioner::execIndexReduce(LaunchContext::defaultContext(), indexreduce::Ops::IndexMax,
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input.buffer(), input.shapeInfo(), input.specialBuffer(), input.specialShapeInfo(),
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nullptr,
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output.buffer(), output.shapeInfo(), output.specialBuffer(), output.specialShapeInfo(),
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(int*) nullptr, dimensions.size(),
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tadPack.specialShapeInfo(), tadPack.specialOffsets());
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}
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NDArray::registerSpecialUse({ &output }, { &input });
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}
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void argMin(const NDArray& input, NDArray& output, const std::vector<int>& dimensions) {
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NDArray::prepareSpecialUse({ &output }, { &input });
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if (output.isScalar()) {
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NativeOpExecutioner::execIndexReduceScalar(LaunchContext::defaultContext(), indexreduce::Ops::IndexMin, input.buffer(), input.shapeInfo(), input.specialBuffer(), input.specialShapeInfo(), nullptr, output.buffer(), output.shapeInfo(), output.specialBuffer(), output.specialShapeInfo());
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}
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else {
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auto tadPack = sd::ConstantTadHelper::getInstance()->tadForDimensions(input.shapeInfo(), dimensions);
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NativeOpExecutioner::execIndexReduce(LaunchContext::defaultContext(), indexreduce::Ops::IndexMin,
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input.buffer(), input.shapeInfo(), input.specialBuffer(), input.specialShapeInfo(),
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nullptr,
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output.buffer(), output.shapeInfo(), output.specialBuffer(), output.specialShapeInfo(),
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(int*) nullptr, dimensions.size(),
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tadPack.specialShapeInfo(), tadPack.specialOffsets());
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}
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NDArray::registerSpecialUse({ &output }, { &input });
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}
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void argAbsMax(const NDArray& input, NDArray& output, const std::vector<int>& dimensions) {
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NDArray::prepareSpecialUse({ &output }, { &input });
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if (output.isScalar()) {
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NativeOpExecutioner::execIndexReduceScalar(LaunchContext::defaultContext(), indexreduce::Ops::IndexAbsoluteMax, input.buffer(), input.shapeInfo(), input.specialBuffer(), input.specialShapeInfo(), nullptr, output.buffer(), output.shapeInfo(), output.specialBuffer(), output.specialShapeInfo());
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}
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else {
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auto tadPack = sd::ConstantTadHelper::getInstance()->tadForDimensions(input.shapeInfo(), dimensions);
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NativeOpExecutioner::execIndexReduce(LaunchContext::defaultContext(), indexreduce::Ops::IndexAbsoluteMax,
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input.buffer(), input.shapeInfo(), input.specialBuffer(), input.specialShapeInfo(),
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nullptr,
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output.buffer(), output.shapeInfo(), output.specialBuffer(), output.specialShapeInfo(),
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(int*) nullptr, dimensions.size(),
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tadPack.specialShapeInfo(), tadPack.specialOffsets());
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}
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NDArray::registerSpecialUse({ &output }, { &input });
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}
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void argAbsMin(const NDArray& input, NDArray& output, const std::vector<int>& dimensions) {
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NDArray::prepareSpecialUse({ &output }, { &input });
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if (output.isScalar()) {
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NativeOpExecutioner::execIndexReduceScalar(LaunchContext::defaultContext(), indexreduce::Ops::IndexAbsoluteMin, input.buffer(), input.shapeInfo(), input.specialBuffer(), input.specialShapeInfo(), nullptr, output.buffer(), output.shapeInfo(), output.specialBuffer(), output.specialShapeInfo());
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}
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else {
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auto tadPack = sd::ConstantTadHelper::getInstance()->tadForDimensions(input.shapeInfo(), dimensions);
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NativeOpExecutioner::execIndexReduce(LaunchContext::defaultContext(), indexreduce::Ops::IndexAbsoluteMin,
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input.buffer(), input.shapeInfo(), input.specialBuffer(), input.specialShapeInfo(),
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nullptr,
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output.buffer(), output.shapeInfo(), output.specialBuffer(), output.specialShapeInfo(),
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(int *) nullptr, dimensions.size(),
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tadPack.specialShapeInfo(), tadPack.specialOffsets());
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}
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NDArray::registerSpecialUse({&output}, {&input});
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}
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}
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}
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} |