59 lines
2.2 KiB
C++
59 lines
2.2 KiB
C++
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/*******************************************************************************
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* Copyright (c) 2015-2018 Skymind, Inc.
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*
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* This program and the accompanying materials are made available under the
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* terms of the Apache License, Version 2.0 which is available at
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* https://www.apache.org/licenses/LICENSE-2.0.
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* License for the specific language governing permissions and limitations
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* under the License.
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*
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* SPDX-License-Identifier: Apache-2.0
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******************************************************************************/
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//
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// @author raver119@gmail.com
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//
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#include <op_boilerplate.h>
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#if NOT_EXCLUDED(OP_knn_mindistance)
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#include <ops/declarable/CustomOperations.h>
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#include <ops/declarable/helpers/knn.h>
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namespace nd4j {
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namespace ops {
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CUSTOM_OP_IMPL(knn_mindistance, 3, 1, false, 0, 0) {
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auto input = INPUT_VARIABLE(0);
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auto lowest = INPUT_VARIABLE(1);
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auto highest = INPUT_VARIABLE(2);
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auto output = OUTPUT_VARIABLE(0);
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REQUIRE_TRUE(input->lengthOf() == lowest->lengthOf() && input->lengthOf() == highest->lengthOf(), 0, "knn_mindistance: all input arrays must have same length");
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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");
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helpers::knn_mindistance(*input, *lowest, *highest, *output);
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return Status::OK();
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}
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DECLARE_SHAPE_FN(knn_mindistance) {
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auto input = inputShape->at(0);
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// always return scalar here
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return SHAPELIST(ConstantShapeHelper::getInstance()->scalarShapeInfo(ArrayOptions::dataType(input)));
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}
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DECLARE_TYPES(knn_mindistance) {
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getOpDescriptor()
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->setAllowedInputTypes({ALL_FLOATS})
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->setAllowedOutputTypes({ALL_FLOATS});
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}
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}
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}
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#endif
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