129 lines
5.7 KiB
Plaintext
129 lines
5.7 KiB
Plaintext
/*******************************************************************************
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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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// @author raver119@gmail.com
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//
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#include "testlayers.h"
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#include <ops/declarable/CustomOperations.h>
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#include <NDArray.h>
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#include <NativeOps.h>
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#include <helpers/BitwiseUtils.h>
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using namespace nd4j;
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using namespace nd4j::graph;
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class SortCudaTests : public testing::Test {
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public:
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};
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TEST_F(SortCudaTests, test_linear_sort_by_key_1) {
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auto k = NDArrayFactory::create<Nd4jLong>('c', {10}, {1, 3, 5, 9, 0, 2, 4, 6, 7, 8});
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auto v = NDArrayFactory::create<double>('c', {10}, {1.5, 3.5, 5.5, 9.5, 0.5, 2.5, 4.5, 6.5, 7.5, 8.5});
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auto ek = NDArrayFactory::create<Nd4jLong>('c', {10}, {0, 1, 2, 3, 4, 5, 6, 7, 8, 9});
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auto ev = NDArrayFactory::create<double>('c', {10}, {0.5, 1.5, 2.5, 3.5, 4.5, 5.5, 6.5, 7.5, 8.5, 9.5});
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Nd4jPointer extras[2] = {nullptr, LaunchContext::defaultContext()->getCudaStream()};
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NativeOps nativeOps;
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nativeOps.sortByKey(extras, k.buffer(), k.shapeInfo(), k.specialBuffer(), k.specialShapeInfo(), v.buffer(), v.shapeInfo(), v.specialBuffer(), v.specialShapeInfo(), false);
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k.tickWriteDevice();
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v.tickWriteDevice();
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ASSERT_EQ(ek, k);
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ASSERT_EQ(ev, v);
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}
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TEST_F(SortCudaTests, test_linear_sort_by_val_1) {
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auto k = NDArrayFactory::create<Nd4jLong>('c', {10}, {1, 3, 5, 9, 0, 2, 4, 6, 7, 8});
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auto v = NDArrayFactory::create<double>('c', {10}, {1.5, 3.5, 5.5, 9.5, 0.5, 2.5, 4.5, 6.5, 7.5, 8.5});
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auto ek = NDArrayFactory::create<Nd4jLong>('c', {10}, {0, 1, 2, 3, 4, 5, 6, 7, 8, 9});
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auto ev = NDArrayFactory::create<double>('c', {10}, {0.5, 1.5, 2.5, 3.5, 4.5, 5.5, 6.5, 7.5, 8.5, 9.5});
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Nd4jPointer extras[2] = {nullptr, LaunchContext::defaultContext()->getCudaStream()};
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NativeOps nativeOps;
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nativeOps.sortByValue(extras, k.buffer(), k.shapeInfo(), k.specialBuffer(), k.specialShapeInfo(), v.buffer(), v.shapeInfo(), v.specialBuffer(), v.specialShapeInfo(), false);
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k.tickWriteDevice();
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v.tickWriteDevice();
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ASSERT_EQ(ek, k);
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ASSERT_EQ(ev, v);
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}
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TEST_F(SortCudaTests, test_linear_sort_by_val_2) {
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auto k = NDArrayFactory::create<int>('c', {6}, {0, 1, 2, 3, 4, 5});
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// auto v = NDArrayFactory::create<double>('c', {6}, {1.5, 3.5, 5.5, 9.5, 0.5, 2.5, 4.5, 6.5, 7.5, 8.5});
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NDArray v = NDArrayFactory::create<double>('c', {6}, {0.9f, .75f, .6f, .95f, .5f, .3f});
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auto ek = NDArrayFactory::create<int>('c', {6}, {3, 0, 1, 2, 4, 5});
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auto ev = NDArrayFactory::create<double>('c', {6}, {0.95, 0.9, 0.75, 0.6, 0.5, 0.3});
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Nd4jPointer extras[2] = {nullptr, LaunchContext::defaultContext()->getCudaStream()};
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NativeOps nativeOps;
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nativeOps.sortByValue(extras, k.buffer(), k.shapeInfo(), k.specialBuffer(), k.specialShapeInfo(), v.buffer(), v.shapeInfo(), v.specialBuffer(), v.specialShapeInfo(), true);
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k.tickWriteDevice();
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v.tickWriteDevice();
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k.printIndexedBuffer("KEYS");
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ASSERT_EQ(ek, k);
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ASSERT_EQ(ev, v);
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}
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TEST_F(SortCudaTests, test_tad_sort_by_key_1) {
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auto k = NDArrayFactory::create<Nd4jLong>('c', {2, 10}, {1, 3, 5, 9, 0, 2, 4, 6, 7, 8, 1, 3, 5, 9, 0, 2, 4, 6, 7, 8});
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auto v = NDArrayFactory::create<double>('c', {2, 10}, {1.5, 3.5, 5.5, 9.5, 0.5, 2.5, 4.5, 6.5, 7.5, 8.5, 1.5, 3.5, 5.5, 9.5, 0.5, 2.5, 4.5, 6.5, 7.5, 8.5});
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auto ek = NDArrayFactory::create<Nd4jLong>('c', {2, 10}, {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9});
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auto ev = NDArrayFactory::create<double>('c', {2, 10}, {0.5, 1.5, 2.5, 3.5, 4.5, 5.5, 6.5, 7.5, 8.5, 9.5, 0.5, 1.5, 2.5, 3.5, 4.5, 5.5, 6.5, 7.5, 8.5, 9.5});
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Nd4jPointer extras[2] = {nullptr, LaunchContext::defaultContext()->getCudaStream()};
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int axis = 1;
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NativeOps nativeOps;
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nativeOps.sortTadByKey(extras, k.buffer(), k.shapeInfo(), k.specialBuffer(), k.specialShapeInfo(), v.buffer(), v.shapeInfo(), v.specialBuffer(), v.specialShapeInfo(), &axis, 1, false);
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k.tickWriteDevice();
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v.tickWriteDevice();
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k.printIndexedBuffer("k");
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v.printIndexedBuffer("v");
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ASSERT_EQ(ek, k);
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ASSERT_EQ(ev, v);
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}
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TEST_F(SortCudaTests, test_tad_sort_by_val_1) {
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auto k = NDArrayFactory::create<Nd4jLong>('c', {2, 10}, {1, 3, 5, 9, 0, 2, 4, 6, 7, 8, 1, 3, 5, 9, 0, 2, 4, 6, 7, 8});
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auto v = NDArrayFactory::create<double>('c', {2, 10}, {1.5, 3.5, 5.5, 9.5, 0.5, 2.5, 4.5, 6.5, 7.5, 8.5, 1.5, 3.5, 5.5, 9.5, 0.5, 2.5, 4.5, 6.5, 7.5, 8.5});
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auto ek = NDArrayFactory::create<Nd4jLong>('c', {2, 10}, {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9});
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auto ev = NDArrayFactory::create<double>('c', {2, 10}, {0.5, 1.5, 2.5, 3.5, 4.5, 5.5, 6.5, 7.5, 8.5, 9.5, 0.5, 1.5, 2.5, 3.5, 4.5, 5.5, 6.5, 7.5, 8.5, 9.5});
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Nd4jPointer extras[2] = {nullptr, LaunchContext::defaultContext()->getCudaStream()};
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int axis = 1;
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NativeOps nativeOps;
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nativeOps.sortTadByValue(extras, k.buffer(), k.shapeInfo(), k.specialBuffer(), k.specialShapeInfo(), v.buffer(), v.shapeInfo(), v.specialBuffer(), v.specialShapeInfo(), &axis, 1, false);
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k.tickWriteDevice();
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v.tickWriteDevice();
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ASSERT_EQ(ek, k);
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ASSERT_EQ(ev, v);
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} |