66 lines
2.1 KiB
C++
66 lines
2.1 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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// Created by raver119 on 24.02.18.
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//
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#include <op_boilerplate.h>
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#if NOT_EXCLUDED(OP_test_scalar)
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#include <ops/declarable/headers/tests.h>
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namespace nd4j {
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namespace ops {
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CUSTOM_OP_IMPL(test_scalar, 1, 1, false, 0, 0) {
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auto input = INPUT_VARIABLE(0);
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auto output = OUTPUT_VARIABLE(0);
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double val = input->e<double>(0) + 2.0;
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output->p(0, val);
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return Status::OK();
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}
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DECLARE_SHAPE_FN(test_scalar) {
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Nd4jLong *newShape;
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ALLOCATE(newShape, block.workspace(), shape::shapeInfoLength(2), Nd4jLong);
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newShape[0] = 2;
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newShape[1] = 1;
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newShape[2] = 1;
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newShape[3] = 1;
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newShape[4] = 1;
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newShape[5] = 0;
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newShape[6] = 1;
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newShape[7] = 99;
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ArrayOptions::setDataType(newShape, ArrayOptions::dataType(inputShape->at(0)));
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auto shape = ConstantShapeHelper::getInstance()->createShapeInfo(ShapeDescriptor(newShape));
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RELEASE(newShape, block.getWorkspace());
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return SHAPELIST(shape);
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}
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DECLARE_TYPES(test_scalar) {
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getOpDescriptor()
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->setAllowedInputTypes(nd4j::DataType::ANY)
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->setSameMode(true);
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}
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}
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}
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#endif
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