51 lines
2.0 KiB
C++
51 lines
2.0 KiB
C++
/*******************************************************************************
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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 agibsonccc on 1/17/17.
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//
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#include "testinclude.h"
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#include <reduce3.h>
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class EqualsTest : public testing::Test {
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public:
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Nd4jLong firstShapeBuffer[8] = {2,1,2,1,1,0,1,102};
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float data[2] = {1.0,7.0};
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Nd4jLong secondShapeBuffer[8] = {2,2,1,6,1,0,6,99};
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float dataSecond[12] = {1.0,2.0,3.0,4.0,5.0,6.0,7.0,8.0,9.0,10.0,11.0,12.0};
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int opNum = 4;
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float extraArgs[1] = {1e-6};
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int dimension[1] = {2147483647};
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int dimensionLength = 1;
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};
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#ifndef __CUDABLAS__
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TEST_F(EqualsTest,Eps) {
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auto val = nd4j::NDArrayFactory::create(0.0f);
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functions::reduce3::Reduce3<float, float>::execScalar(opNum,
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data,
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firstShapeBuffer,
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extraArgs,
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dataSecond,
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secondShapeBuffer,
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val.buffer(),
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val.shapeInfo());
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ASSERT_TRUE(val.e<float>(0) < 0.5);
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}
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#endif
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