cavis/libnd4j/include/ops/declarable/helpers/cuda/lrn.cu

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/*******************************************************************************
* 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 <ops/declarable/helpers/lrn.h>
#include <Status.h>
namespace nd4j {
namespace ops {
namespace helpers {
// FIXME: double
int lrnFunctor(nd4j::graph::Context& block, NDArray* input, NDArray* output, int depth, double bias, double alpha, double beta) {
return Status::OK();
}
int lrnFunctorEx(nd4j::graph::Context& block, NDArray* input, NDArray* output, NDArray* unitScale, NDArray* scale, int depth, double bias, double alpha, double beta) {
return Status::OK();
}
int lrnFunctorEx(nd4j::graph::Context& block, NDArray* input, NDArray* output, NDArray* scale, int depth, double bias, double alpha, double beta) {
return Status::OK();
}
void lrnBP(const NDArray& input, const NDArray& gradO, NDArray& gradI, const int depth, const float bias, const float alpha, const float beta) {
//
}
}
}
}