cavis/libnd4j/include/ops/declarable/helpers/cuda/unique.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 sgazeos@gmail.com
//
#include <ops/declarable/helpers/unique.h>
#include <Status.h>
namespace nd4j {
namespace ops {
namespace helpers {
template <typename T>
static Nd4jLong uniqueCount_(NDArray* input) {
Nd4jLong count = input->lengthOf();
return count;
}
Nd4jLong uniqueCount(nd4j::LaunchContext * context, NDArray* input) {
BUILD_SINGLE_SELECTOR(input->dataType(), return uniqueCount_, (input), LIBND4J_TYPES);
}
BUILD_SINGLE_TEMPLATE(template Nd4jLong uniqueCount_, (NDArray* input), LIBND4J_TYPES);
template <typename T>
static Nd4jStatus uniqueFunctor_(NDArray* input, NDArray* values, NDArray* indices, NDArray* counts) {
return Status::OK();
}
Nd4jStatus uniqueFunctor(nd4j::LaunchContext * context, NDArray* input, NDArray* values, NDArray* indices, NDArray* counts) {
BUILD_SINGLE_SELECTOR(input->dataType(), return uniqueFunctor_,(input, values, indices, counts), LIBND4J_TYPES);
}
BUILD_SINGLE_TEMPLATE(template Nd4jStatus uniqueFunctor_, (NDArray* input, NDArray* values, NDArray* indices, NDArray* counts), LIBND4J_TYPES);
}
}
}