114 lines
4.1 KiB
Plaintext
114 lines
4.1 KiB
Plaintext
/* ******************************************************************************
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*
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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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* See the NOTICE file distributed with this work for additional
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* information regarding copyright ownership.
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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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// @author raver119@gmail.com
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//
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#include "testlayers.h"
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#include <array/NDArray.h>
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#include <helpers/ShapeUtils.h>
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#include <loops/reduce3.h>
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#include <ops/declarable/LegacyTransformOp.h>
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#include <ops/declarable/LegacyPairwiseTransformOp.h>
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#include <ops/declarable/LegacyScalarOp.h>
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#include <ops/declarable/LegacyReduceSameOp.h>
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#include <ops/declarable/LegacyReduceFloatOp.h>
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#include <ops/declarable/LegacyIndexReduceOp.h>
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#include <ops/declarable/LegacyBroadcastOp.h>
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#include <helpers/TAD.h>
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#include <helpers/ConstantTadHelper.h>
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using namespace sd;
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using namespace sd::ops;
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class LegacyOpsCudaTests : public testing::Test {
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};
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TEST_F(LegacyOpsCudaTests, test_sortTad_1) {
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auto x = NDArrayFactory::create<float>('c', {3, 5}, {1.f, 3.f, 0.f, 2.f, 4.f,
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6.f, 5.f, 9.f, 7.f, 8.f,
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10.f, 11.f, 14.f, 12.f, 13.f});
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auto e = NDArrayFactory::create<float>('c', {3, 5}, {0.f, 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f, 9.f, 10.f, 11.f, 12.f, 13.f, 14.f});
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int axis = 1;
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auto packX = ConstantTadHelper::getInstance().tadForDimensions(x.shapeInfo(), axis);
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Nd4jPointer extras[2] = {nullptr, LaunchContext::defaultContext()->getCudaStream()};
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x.syncToDevice();
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sortTad(extras, x.buffer(), x.shapeInfo(), x.specialBuffer(), x.specialShapeInfo(), &axis, 1, packX.platformShapeInfo(), packX.platformOffsets(), false);
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x.tickWriteDevice();
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ASSERT_EQ(e, x);
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}
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TEST_F(LegacyOpsCudaTests, test_sort_1) {
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auto x = NDArrayFactory::create<float>('c', {4}, {4.f, 2.f, 1.f, 3.f});
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auto e = NDArrayFactory::create<float>('c', {4}, {1.f, 2.f, 3.f, 4.f});
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Nd4jPointer extras[2] = {nullptr, LaunchContext::defaultContext()->getCudaStream()};
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NDArray::prepareSpecialUse({&x}, {&x});
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::sort(extras, x.buffer(), x.shapeInfo(), x.specialBuffer(), x.specialShapeInfo(), false);
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NDArray::registerSpecialUse({&x});
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ASSERT_EQ(e, x);
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}
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TEST_F(LegacyOpsCudaTests, test_sort_2) {
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auto x = NDArrayFactory::create<float>('c', {4}, {4.f, 2.f, 1.f, 3.f});
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auto e = NDArrayFactory::create<float>('c', {4}, {4.f, 3.f, 2.f, 1.f});
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Nd4jPointer extras[2] = {nullptr, LaunchContext::defaultContext()->getCudaStream()};
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NDArray::prepareSpecialUse({&x}, {&x});
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::sort(extras, x.buffer(), x.shapeInfo(), x.specialBuffer(), x.specialShapeInfo(), true);
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NDArray::registerSpecialUse({&x});
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ASSERT_EQ(e, x);
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}
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TEST_F(LegacyOpsCudaTests, test_sort_3) {
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auto x = NDArrayFactory::create<double>('c', {4}, {0.5, 0.4, 0.1, 0.2});
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auto e = NDArrayFactory::create<double>('c', {4}, {0.1, 0.2, 0.4, 0.5});
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Nd4jPointer extras[2] = {nullptr, LaunchContext::defaultContext()->getCudaStream()};
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NDArray::prepareSpecialUse({&x}, {&x});
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::sort(extras, x.buffer(), x.shapeInfo(), x.specialBuffer(), x.specialShapeInfo(), false);
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NDArray::registerSpecialUse({&x});
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ASSERT_EQ(e, x);
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}
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TEST_F(LegacyOpsCudaTests, test_sort_4) {
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auto x = NDArrayFactory::create<double>('c', {4}, {7, 4, 9, 2});
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auto e = NDArrayFactory::create<double>('c', {4}, {2, 4, 7, 9});
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Nd4jPointer extras[2] = {nullptr, LaunchContext::defaultContext()->getCudaStream()};
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NDArray::prepareSpecialUse({&x}, {&x});
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::sort(extras, x.buffer(), x.shapeInfo(), x.specialBuffer(), x.specialShapeInfo(), false);
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NDArray::registerSpecialUse({&x});
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ASSERT_EQ(e, x);
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} |