009007120b
* Implementation for non_max_suppression_v3 was added. Initial version * Added check for overcome threshold. * Added definition for V3 method. * java remapping for NonMaxSuppressionV3 Signed-off-by: raver119 <raver119@gmail.com> * Fixed proporly processing of an empty output and test. * Refactored op to less threshold data to float. * Implemented cuda-based helper for non_max_suppression_v3 op. * Fixed fake_quant_with_min_max_vars op. * Fixed tests with float numbers. * - assert now stops execution - sortByKey/sortByValue now have input validation Signed-off-by: raver119 <raver119@gmail.com> * missing var Signed-off-by: raver119 <raver119@gmail.com> * Fixed proper processing for zero max_size inputs. * Refactored kernel callers. * Fixed return statement for logdet op helper. * Refactored unsorted segment SqrtN op. * get back 8 tail bytes on CUDA Signed-off-by: raver119 <raver119@gmail.com> * Refactored segment prod ops and helpers for cuda and tests. * Additional test. * CudaWorkspace tests updated for 8 tail bytes Signed-off-by: raver119 <raver119@gmail.com> * special atomic test Signed-off-by: raver119 <raver119@gmail.com> * atomicMul/atomicDiv fix for 16bit values Signed-off-by: raver119 <raver119@gmail.com> * Eliminated waste prints.
60 lines
2.0 KiB
Plaintext
60 lines
2.0 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 <NDArray.h>
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#include <Workspace.h>
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#include <MemoryRegistrator.h>
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#include <MmulHelper.h>
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using namespace nd4j;
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using namespace nd4j::memory;
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class CudaWorkspaceTests : public testing::Test {
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};
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TEST_F(CudaWorkspaceTests, Basic_Tests_1) {
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Workspace workspace(65536, 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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ASSERT_EQ(108, workspace.getCurrentOffset());
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ASSERT_EQ(0, workspace.getCurrentSecondaryOffset());
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array.e<int>(0);
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ASSERT_EQ(100, workspace.getCurrentSecondaryOffset());
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}
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TEST_F(CudaWorkspaceTests, Basic_Tests_2) {
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Workspace workspace(65536, 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}, {0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}, &ctx);
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ASSERT_EQ(108, workspace.getCurrentOffset());
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ASSERT_EQ(0, workspace.getCurrentSecondaryOffset());
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} |