cavis/libnd4j/tests_cpu/layers_tests/OpTupleTests.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 11.10.2017.
//
#include "testlayers.h"
#include <array/NDArray.h>
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#include <ops/declarable/OpTuple.h>
using namespace sd;
using namespace sd::ops;
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class OpTupleTests : public testing::Test {
public:
};
TEST_F(OpTupleTests, DirectConstructorTest1) {
auto alpha = NDArrayFactory::create_<float>('c', {1, 2});
auto beta = NDArrayFactory::create_<float>('c', {1, 2});
OpTuple tuple("dummy", {alpha, beta}, {12.0f}, {1,2, 3});
ASSERT_EQ("dummy", tuple._opName);
ASSERT_EQ(2, tuple._inputs.size());
ASSERT_EQ(0, tuple._outputs.size());
ASSERT_EQ(1, tuple._tArgs.size());
ASSERT_EQ(3, tuple._iArgs.size());
}
TEST_F(OpTupleTests, BuilderTest1) {
auto alpha = NDArrayFactory::create_<float>('c', {1, 2});
auto beta = NDArrayFactory::create_<float>('c', {1, 2});
OpTuple tuple("dummy");
tuple.addInput(alpha)
->addInput(beta)
->setTArgs({12.0f})
->setIArgs({1, 2, 3});
ASSERT_EQ("dummy", tuple._opName);
ASSERT_EQ(2, tuple._inputs.size());
ASSERT_EQ(0, tuple._outputs.size());
ASSERT_EQ(1, tuple._tArgs.size());
ASSERT_EQ(3, tuple._iArgs.size());
}