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

43 lines
1.6 KiB
Plaintext

/*******************************************************************************
* 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/max_pooling.h>
#include <ops/declarable/helpers/convolutions.h>
namespace nd4j {
namespace ops {
namespace helpers {
template <typename T>
static void maxPoolingFunctor_(nd4j::graph::Context& block, NDArray* input, NDArray* values, std::vector<int> const& params, NDArray* indices) {
}
void maxPoolingFunctor(nd4j::LaunchContext * context, nd4j::graph::Context& block, NDArray* input, NDArray* values, std::vector<int> const& params, NDArray* indices) {
BUILD_SINGLE_SELECTOR(input->dataType(), maxPoolingFunctor_, (block, input, values, params, indices), FLOAT_TYPES);
}
BUILD_SINGLE_TEMPLATE(template void maxPoolingFunctor_, (nd4j::graph::Context& block, NDArray* input, NDArray* values, std::vector<int> const& params, NDArray* indices), FLOAT_TYPES);
}
}
}