cavis/libnd4j/include/ops/declarable/generic/kernels/knn_mindistance.cpp

59 lines
2.2 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 <op_boilerplate.h>
#if NOT_EXCLUDED(OP_knn_mindistance)
#include <ops/declarable/CustomOperations.h>
#include <ops/declarable/helpers/knn.h>
namespace nd4j {
namespace ops {
CUSTOM_OP_IMPL(knn_mindistance, 3, 1, false, 0, 0) {
auto input = INPUT_VARIABLE(0);
auto lowest = INPUT_VARIABLE(1);
auto highest = INPUT_VARIABLE(2);
auto output = OUTPUT_VARIABLE(0);
REQUIRE_TRUE(input->lengthOf() == lowest->lengthOf() && input->lengthOf() == highest->lengthOf(), 0, "knn_mindistance: all input arrays must have same length");
REQUIRE_TRUE(input->dataType() == lowest->dataType() && input->dataType() == highest->dataType() && input->dataType() == output->dataType(), 0, "knn_mindistance: all inputs must have the same data type");
helpers::knn_mindistance(*input, *lowest, *highest, *output);
return Status::OK();
}
DECLARE_SHAPE_FN(knn_mindistance) {
auto input = inputShape->at(0);
// always return scalar here
return SHAPELIST(ConstantShapeHelper::getInstance()->scalarShapeInfo(ArrayOptions::dataType(input)));
}
DECLARE_TYPES(knn_mindistance) {
getOpDescriptor()
->setAllowedInputTypes({ALL_FLOATS})
->setAllowedOutputTypes({ALL_FLOATS});
}
}
}
#endif