2019-06-06 14:21:15 +02:00
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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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// @author raver119@gmail.com
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//
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#ifndef LIBND4J_WORKSPACETESTS_H
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#define LIBND4J_WORKSPACETESTS_H
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#include "testlayers.h"
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2020-03-02 10:49:41 +01:00
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#include <array/NDArray.h>
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#include <memory/Workspace.h>
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#include <memory/MemoryRegistrator.h>
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#include <helpers/MmulHelper.h>
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2019-06-06 14:21:15 +02:00
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2020-03-02 10:49:41 +01:00
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using namespace sd;
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using namespace sd::memory;
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2019-06-06 14:21:15 +02:00
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class WorkspaceTests : public testing::Test {
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};
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TEST_F(WorkspaceTests, BasicInitialization1) {
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Workspace workspace(1024);
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ASSERT_EQ(1024, workspace.getCurrentSize());
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ASSERT_EQ(0, workspace.getCurrentOffset());
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}
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TEST_F(WorkspaceTests, BasicInitialization2) {
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Workspace workspace(65536);
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ASSERT_EQ(0, workspace.getCurrentOffset());
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LaunchContext ctx;
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ctx.setWorkspace(&workspace);
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auto array = NDArrayFactory::create<float>('c', {5, 5}, &ctx);
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array.p(0, 1.0f);
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array.p(5, 1.0f);
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auto v = array.reduceNumber(reduce::Sum);
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auto f = v.e<float>(0);
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ASSERT_NEAR(2.0f, f, 1e-5);
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ASSERT_TRUE(workspace.getCurrentOffset() > 0);
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}
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TEST_F(WorkspaceTests, BasicInitialization3) {
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Workspace workspace;
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ASSERT_EQ(0, workspace.getCurrentOffset());
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LaunchContext ctx;
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ctx.setWorkspace(&workspace);
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auto array = NDArrayFactory::create<float>('c', {5, 5}, &ctx);
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array.p(0, 1.0f);
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array.p(5, 1.0f);
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auto v = array.reduceNumber(reduce::Sum);
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auto f = v.e<float>(0);
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ASSERT_NEAR(2.0f, array.reduceNumber(reduce::Sum).e<float>(0), 1e-5);
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ASSERT_TRUE(workspace.getCurrentOffset() == 0);
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}
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TEST_F(WorkspaceTests, ResetTest1) {
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Workspace workspace(65536);
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LaunchContext ctx;
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ctx.setWorkspace(&workspace);
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auto array = NDArrayFactory::create<float>('c', {5, 5}, &ctx);
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array.p(0, 1.0f);
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array.p(5, 1.0f);
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workspace.scopeOut();
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for (int e = 0; e < 5; e++) {
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workspace.scopeIn();
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auto array2 = NDArrayFactory::create<float>('c', {5, 5}, &ctx);
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array2.p(0, 1.0f);
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array2.p(5, 1.0f);
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ASSERT_NEAR(2.0f, array2.reduceNumber(reduce::Sum).e<float>(0), 1e-5);
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workspace.scopeOut();
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}
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ASSERT_EQ(65536, workspace.getCurrentSize());
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ASSERT_EQ(0, workspace.getCurrentOffset());
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ASSERT_EQ(0, workspace.getSpilledSize());
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}
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TEST_F(WorkspaceTests, StretchTest1) {
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2020-06-06 14:26:55 +02:00
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if (!Environment::getInstance().isCPU())
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2019-08-02 19:01:03 +02:00
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return;
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2019-06-06 14:21:15 +02:00
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Workspace workspace(128);
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void* ptr = workspace.allocateBytes(8);
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workspace.scopeOut();
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ASSERT_EQ(0, workspace.getSpilledSize());
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2019-08-02 19:01:03 +02:00
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ASSERT_EQ(0, workspace.getSpilledSecondarySize());
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2019-06-06 14:21:15 +02:00
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ASSERT_EQ(0, workspace.getCurrentOffset());
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2019-08-02 19:01:03 +02:00
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ASSERT_EQ(0, workspace.getCurrentSecondaryOffset());
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2019-06-06 14:21:15 +02:00
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workspace.scopeIn();
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for (int e = 0; e < 10; e++) {
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workspace.allocateBytes(128);
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}
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ASSERT_EQ(128 * 9, workspace.getSpilledSize());
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workspace.scopeOut();
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workspace.scopeIn();
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ASSERT_EQ(0, workspace.getCurrentOffset());
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// we should have absolutely different pointer here, due to reallocation
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void* ptr2 = workspace.allocateBytes(8);
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//ASSERT_FALSE(ptr == ptr2);
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ASSERT_EQ(1280, workspace.getCurrentSize());
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ASSERT_EQ(0, workspace.getSpilledSize());
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}
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TEST_F(WorkspaceTests, NewInWorkspaceTest1) {
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if (!Environment::getInstance().isCPU())
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return;
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2019-06-06 14:21:15 +02:00
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Workspace ws(65536);
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ASSERT_EQ(65536, ws.getCurrentSize());
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ASSERT_EQ(0, ws.getCurrentOffset());
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2020-06-06 14:26:55 +02:00
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ASSERT_FALSE(MemoryRegistrator::getInstance().hasWorkspaceAttached());
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2019-06-06 14:21:15 +02:00
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2020-06-06 14:26:55 +02:00
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MemoryRegistrator::getInstance().attachWorkspace(&ws);
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2019-06-06 14:21:15 +02:00
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2020-06-06 14:26:55 +02:00
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ASSERT_TRUE(MemoryRegistrator::getInstance().hasWorkspaceAttached());
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2019-06-06 14:21:15 +02:00
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auto ast = NDArrayFactory::create_<float>('c', {5, 5});
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ASSERT_TRUE(ws.getCurrentOffset() > 0);
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delete ast;
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2020-06-06 14:26:55 +02:00
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MemoryRegistrator::getInstance().forgetWorkspace();
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2019-06-06 14:21:15 +02:00
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2020-06-06 14:26:55 +02:00
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ASSERT_FALSE(MemoryRegistrator::getInstance().hasWorkspaceAttached());
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ASSERT_TRUE(MemoryRegistrator::getInstance().getWorkspace() == nullptr);
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2019-06-06 14:21:15 +02:00
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}
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TEST_F(WorkspaceTests, NewInWorkspaceTest2) {
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Workspace ws(65536);
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LaunchContext ctx;
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ctx.setWorkspace(&ws);
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ASSERT_EQ(65536, ws.getCurrentSize());
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ASSERT_EQ(0, ws.getCurrentOffset());
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2020-06-06 14:26:55 +02:00
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MemoryRegistrator::getInstance().attachWorkspace(&ws);
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2019-06-06 14:21:15 +02:00
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auto ast = NDArrayFactory::create_<float>('c', {5, 5}, &ctx);
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ASSERT_TRUE(ws.getCurrentOffset() > 0);
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delete ast;
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2020-06-06 14:26:55 +02:00
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MemoryRegistrator::getInstance().forgetWorkspace();
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2019-06-06 14:21:15 +02:00
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}
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TEST_F(WorkspaceTests, CloneTest1) {
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if (!Environment::getInstance().isCPU())
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return;
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2019-06-06 14:21:15 +02:00
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Workspace ws(65536);
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ws.allocateBytes(65536 * 2);
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ASSERT_EQ(65536 * 2, ws.getSpilledSize());
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auto clone = ws.clone();
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ASSERT_EQ(65536 * 2, clone->getCurrentSize());
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ASSERT_EQ(0, clone->getCurrentOffset());
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ASSERT_EQ(0, clone->getSpilledSize());
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delete clone;
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}
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TEST_F(WorkspaceTests, Test_Arrays_1) {
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Workspace ws(65536);
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LaunchContext ctx;
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ctx.setWorkspace(&ws);
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auto x = NDArrayFactory::create<float>('c', {3, 3}, {1, 2, 3, 4, 5, 6, 7, 8, 9}, &ctx);
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// x.printIndexedBuffer("x0");
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auto y = NDArrayFactory::create<float>('c', {3, 3}, {-1, -2, -3, -4, -5, -6, -7, -8, -9}, &ctx);
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// x.printIndexedBuffer("x2");
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auto z = NDArrayFactory::create<float>('c', {3, 3}, {0, 0, 0, 0, 0, 0, 0, 0, 0}, &ctx);
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MmulHelper::mmul(&x, &y, &z);
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y.assign(&x);
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// x.printIndexedBuffer("x3");
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// y.printIndexedBuffer("y");
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// z.printIndexedBuffer("z");
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}
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#ifdef GRAPH_FILES_OK
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TEST_F(WorkspaceTests, Test_Graph_1) {
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auto graph = GraphExecutioner::importFromFlatBuffers("./resources/ae_00.fb");
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auto workspace = graph->getVariableSpace()->workspace();
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auto status = GraphExecutioner::execute(graph);
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ASSERT_EQ(Status::OK(), status);
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delete graph;
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}
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#endif
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TEST_F(WorkspaceTests, Test_Externalized_1) {
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if (!Environment::getInstance().isCPU())
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2019-08-02 19:01:03 +02:00
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return;
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2019-06-06 14:21:15 +02:00
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char buffer[10000];
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ExternalWorkspace pojo((Nd4jPointer) buffer, 10000, nullptr, 0);
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ASSERT_EQ(10000, pojo.sizeHost());
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ASSERT_EQ(0, pojo.sizeDevice());
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Workspace ws(&pojo);
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ASSERT_EQ(10000, ws.getCurrentSize());
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ASSERT_EQ(10000, ws.getAllocatedSize());
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LaunchContext ctx;
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ctx.setWorkspace(&ws);
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auto x = NDArrayFactory::create<float>('c', {10, 10}, &ctx);
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// only buffer size goes into account
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ASSERT_EQ(400, ws.getUsedSize());
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ASSERT_EQ(400, ws.getCurrentOffset());
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x.assign(2.0);
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float m = x.meanNumber().e<float>(0);
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ASSERT_NEAR(2.0f, m, 1e-5);
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}
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// TODO: uncomment this test once long shapes are introduced
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/*
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TEST_F(WorkspaceTests, Test_Big_Allocation_1) {
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Workspace ws(65536);
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NDArray<float> x('c', {256, 64, 384, 384}, &ws);
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}
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*/
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#endif //LIBND4J_WORKSPACETESTS_H
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