cavis/libnd4j/include/ops/declarable/generic/broadcastable/boolean_xor.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 raver on 6/6/2018.
//
#include <op_boilerplate.h>
#if NOT_EXCLUDED(OP_boolean_xor)
#include <ops/declarable/CustomOperations.h>
namespace nd4j {
namespace ops {
BROADCASTABLE_OP_IMPL(boolean_xor, 0, 0) {
auto x = INPUT_VARIABLE(0);
auto y = INPUT_VARIABLE(1);
auto z = OUTPUT_VARIABLE(0);
BROADCAST_CHECK_EMPTY(x,y,z);
auto tZ = BroadcastHelper::broadcastApply(BroadcastOpsTuple::custom(scalar::LogicalXor, pairwise::LogicalXor, broadcast::LogicalXor), x, y, z);
if (tZ == nullptr)
return ND4J_STATUS_KERNEL_FAILURE;
else if (tZ != z)
throw std::runtime_error("boolean_xor: result was overwritten");
return Status::OK();
}
DECLARE_TYPES(boolean_xor) {
getOpDescriptor()
->setAllowedInputTypes(0, DataType::ANY)
->setAllowedInputTypes(1, DataType::ANY)
->setAllowedOutputTypes(0, DataType::INHERIT);
}
}
}
#endif