cavis/libnd4j/include/helpers/RandomLauncher.h
raver119 25b3cd9b80
[WIP] CUDA tests (#95)
* one more CI test

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

* export additional symbols

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* few more tweaks

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

* one more tweak for linux

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

* fix dtype in few tests

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

* missing sync and memset in couple of tests

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* copy step for libnd4j cuda

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* no-op on empty for adjust hue/contrast/saturation

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* CUDA_VERBOSE Off

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* BroadcastBool fix + few tests

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* trigger jenkins

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* trigger jenkins

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* - ignore couple of warnings
- remove redundant compiler options

Signed-off-by: raver119 <raver119@gmail.com>
2019-12-02 21:37:21 +03:00

47 lines
2.5 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 raver119@gmail.com
//
#include <NDArray.h>
#include <helpers/helper_random.h>
#include <graph/RandomGenerator.h>
#include <execution/LaunchContext.h>
namespace nd4j {
class ND4J_EXPORT RandomLauncher {
public:
static void applyDropOut(nd4j::LaunchContext *context, nd4j::graph::RandomGenerator& rng, NDArray *array, double retainProb, NDArray* z = nullptr);
static void applyInvertedDropOut(nd4j::LaunchContext *context, nd4j::graph::RandomGenerator& rng, NDArray *array, double retainProb, NDArray* z = nullptr);
static void applyAlphaDropOut(nd4j::LaunchContext *context, nd4j::graph::RandomGenerator& rng, NDArray *array, double retainProb, double alpha, double beta, double alphaPrime, NDArray* z = nullptr);
static void fillUniform(nd4j::LaunchContext *context, nd4j::graph::RandomGenerator& rng, NDArray* array, double from, double to);
static void fillGaussian(nd4j::LaunchContext *context, nd4j::graph::RandomGenerator& rng, NDArray* array, double mean, double stdev);
static void fillExponential(nd4j::LaunchContext *context, nd4j::graph::RandomGenerator& rng, NDArray* array, double lambda);
static void fillLogNormal(nd4j::LaunchContext *context, nd4j::graph::RandomGenerator& rng, NDArray* array, double mean, double stdev);
static void fillTruncatedNormal(nd4j::LaunchContext *context, nd4j::graph::RandomGenerator& rng, NDArray* array, double mean, double stdev);
static void fillBinomial(nd4j::LaunchContext *context, nd4j::graph::RandomGenerator& rng, NDArray* array, int trials, double prob);
static void fillBernoulli(nd4j::LaunchContext *context, nd4j::graph::RandomGenerator& rng, NDArray* array, double prob);
};
}