cavis/libnd4j/include/ops/declarable/generic/tests/test_scalar.cpp

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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
******************************************************************************/
//
// Created by raver119 on 24.02.18.
//
#include <system/op_boilerplate.h>
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#if NOT_EXCLUDED(OP_test_scalar)
#include <ops/declarable/headers/tests.h>
namespace sd {
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namespace ops {
CUSTOM_OP_IMPL(test_scalar, 1, 1, false, 0, 0) {
auto input = INPUT_VARIABLE(0);
auto output = OUTPUT_VARIABLE(0);
double val = input->e<double>(0) + 2.0;
output->p(0, val);
return Status::OK();
}
DECLARE_SHAPE_FN(test_scalar) {
Nd4jLong *newShape;
ALLOCATE(newShape, block.workspace(), shape::shapeInfoLength(2), Nd4jLong);
newShape[0] = 2;
newShape[1] = 1;
newShape[2] = 1;
newShape[3] = 1;
newShape[4] = 1;
newShape[5] = 0;
newShape[6] = 1;
newShape[7] = 99;
ArrayOptions::setDataType(newShape, ArrayOptions::dataType(inputShape->at(0)));
auto shape = ConstantShapeHelper::getInstance()->createShapeInfo(ShapeDescriptor(newShape));
RELEASE(newShape, block.getWorkspace());
return SHAPELIST(shape);
}
DECLARE_TYPES(test_scalar) {
getOpDescriptor()
->setAllowedInputTypes(sd::DataType::ANY)
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->setSameMode(true);
}
}
}
#endif