raver119 6de00bf75f
[WIP] Weekly update of repo (#8390)
* [WIP] Fix compilation after nd4j changes (#37)

* Fix compilation.

* Some tests fixed

* Disable tests temporarily.

* Restored test

* Tests restored.

* Test restored.

* [WIP] perf tests (#40)

* special maxpool test

Signed-off-by: raver119 <raver119@gmail.com>

* special maxpool test

Signed-off-by: raver119 <raver119@gmail.com>

* Shyrma bnorm bp (#41)

Batchnorm backprop mkldnn

* Add SameDiff memory reuse memory manager (array cache) (#39)

* Attention op comments

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* ArrayCacheMemoryMgr - first pass

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Tweak array cache for use with SameDiff identity arrays

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* ArrayCacheMemoryMgr javadoc and properly get max memory

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* LRU cache policy + add tests

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Fixes

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Resize arrays internally if required for ArrayCacheMemoryMgr

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Test improvement

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Small polish

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* SameDiff op runtime benchmarking listener (#42)

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* INLINE_LOOPS for windows

Signed-off-by: raver119 <raver119@gmail.com>

* [WIP] ThreadPool (#8)

This PR removes OpenMP use in 95% of cases
2019-11-13 17:15:18 +03:00

56 lines
2.0 KiB
C++

/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://www.apache.org/licenses/LICENSE-2.0.
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
* License for the specific language governing permissions and limitations
* under the License.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author GS <sgazeos@gmail.com>
//
#include <ops/declarable/helpers/confusion.h>
#include <execution/Threads.h>
namespace nd4j {
namespace ops {
namespace helpers {
template <typename T>
void _confusionFunctor(NDArray* labels, NDArray* predictions, NDArray* weights, NDArray* output) {
std::unique_ptr<ResultSet> arrs(output->allTensorsAlongDimension({1}));
int lLen = labels->lengthOf();
auto func = PRAGMA_THREADS_FOR {
for (int j = start; j < stop; j += increment) {
auto label = labels->e<Nd4jLong>(j);
auto pred = predictions->e<Nd4jLong>(j);
T value = (weights == nullptr ? (T) 1.0f : weights->e<T>(j));
(*arrs->at(label)).p<T>(pred, value);
}
};
samediff::Threads::parallel_for(func, 0, lLen);
}
void confusionFunctor(nd4j::LaunchContext * context, NDArray* labels, NDArray* predictions, NDArray* weights, NDArray* output) {
auto xType = output->dataType(); // weights can be null
BUILD_SINGLE_SELECTOR(xType, _confusionFunctor, (labels, predictions, weights, output), NUMERIC_TYPES);
}
BUILD_SINGLE_TEMPLATE(template void _confusionFunctor, (NDArray* labels, NDArray* predictions, NDArray* weights, NDArray* output);, NUMERIC_TYPES);
}
}
}