cavis/libnd4j/include/ops/declarable/generic/boolean/lt_scalar.cpp

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2019-06-06 14:21:15 +02:00
/*******************************************************************************
* 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
******************************************************************************/
//
// Created by raver119 on 13.10.2017.
//
#include <op_boilerplate.h>
#if NOT_EXCLUDED(OP_lt_scalar)
#include <ops/declarable/CustomOperations.h>
namespace nd4j {
namespace ops {
BOOLEAN_OP_IMPL(lt_scalar, 2, true) {
auto x = INPUT_VARIABLE(0);
auto y = INPUT_VARIABLE(1);
nd4j_printf("Comparing [%f] to [%f]\n", x->e<float>(0), y->e<float>(0));
if (x->e<float>(0) < y->e<float>(0))
return ND4J_STATUS_TRUE;
else
return ND4J_STATUS_FALSE;
}
//DECLARE_SYN(Less, lt_scalar);
//DECLARE_SYN(less, lt_scalar);
DECLARE_TYPES(lt_scalar) {
getOpDescriptor()
->setAllowedInputTypes(0, DataType::ANY)
->setAllowedInputTypes(1, DataType::ANY)
->setAllowedOutputTypes(0, DataType::BOOL);
}
}
}
#endif