renmaed gpu module -> cuda

2013-07-24 11:41:44 +04:00
parent 29386f1449
commit ae94256edc
58 changed files with 45 additions and 131 deletions
--- a/modules/cuda/test/test_stream.cpp
+++ b/modules/cuda/test/test_stream.cpp
@@ -0,0 +1,135 @@
+/*M///////////////////////////////////////////////////////////////////////////////////////
+//
+//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+//
+//  By downloading, copying, installing or using the software you agree to this license.
+//  If you do not agree to this license, do not download, install,
+//  copy or use the software.
+//
+//
+//                           License Agreement
+//                For Open Source Computer Vision Library
+//
+// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
+// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+// Redistribution and use in source and binary forms, with or without modification,
+// are permitted provided that the following conditions are met:
+//
+//   * Redistribution's of source code must retain the above copyright notice,
+//     this list of conditions and the following disclaimer.
+//
+//   * Redistribution's in binary form must reproduce the above copyright notice,
+//     this list of conditions and the following disclaimer in the documentation
+//     and/or other materials provided with the distribution.
+//
+//   * The name of the copyright holders may not be used to endorse or promote products
+//     derived from this software without specific prior written permission.
+//
+// This software is provided by the copyright holders and contributors "as is" and
+// any express or implied warranties, including, but not limited to, the implied
+// warranties of merchantability and fitness for a particular purpose are disclaimed.
+// In no event shall the Intel Corporation or contributors be liable for any direct,
+// indirect, incidental, special, exemplary, or consequential damages
+// (including, but not limited to, procurement of substitute goods or services;
+// loss of use, data, or profits; or business interruption) however caused
+// and on any theory of liability, whether in contract, strict liability,
+// or tort (including negligence or otherwise) arising in any way out of
+// the use of this software, even if advised of the possibility of such damage.
+//
+//M*/
+
+#include "test_precomp.hpp"
+
+#ifdef HAVE_CUDA
+
+#include <cuda_runtime.h>
+
+#if CUDART_VERSION >= 5000
+
+using namespace cvtest;
+
+struct Async : testing::TestWithParam<cv::cuda::DeviceInfo>
+{
+    cv::cuda::CudaMem src;
+    cv::cuda::GpuMat d_src;
+
+    cv::cuda::CudaMem dst;
+    cv::cuda::GpuMat d_dst;
+
+    virtual void SetUp()
+    {
+        cv::cuda::DeviceInfo devInfo = GetParam();
+        cv::cuda::setDevice(devInfo.deviceID());
+
+        src = cv::cuda::CudaMem(cv::cuda::CudaMem::PAGE_LOCKED);
+
+        cv::Mat m = randomMat(cv::Size(128, 128), CV_8UC1);
+        m.copyTo(src);
+    }
+};
+
+void checkMemSet(int status, void* userData)
+{
+    ASSERT_EQ(cudaSuccess, status);
+
+    Async* test = reinterpret_cast<Async*>(userData);
+
+    cv::cuda::CudaMem src = test->src;
+    cv::cuda::CudaMem dst = test->dst;
+
+    cv::Mat dst_gold = cv::Mat::zeros(src.size(), src.type());
+
+    ASSERT_MAT_NEAR(dst_gold, dst, 0);
+}
+
+GPU_TEST_P(Async, MemSet)
+{
+    cv::cuda::Stream stream;
+
+    d_dst.upload(src);
+
+    d_dst.setTo(cv::Scalar::all(0), stream);
+    d_dst.download(dst, stream);
+
+    Async* test = this;
+    stream.enqueueHostCallback(checkMemSet, test);
+
+    stream.waitForCompletion();
+}
+
+void checkConvert(int status, void* userData)
+{
+    ASSERT_EQ(cudaSuccess, status);
+
+    Async* test = reinterpret_cast<Async*>(userData);
+
+    cv::cuda::CudaMem src = test->src;
+    cv::cuda::CudaMem dst = test->dst;
+
+    cv::Mat dst_gold;
+    src.createMatHeader().convertTo(dst_gold, CV_32S);
+
+    ASSERT_MAT_NEAR(dst_gold, dst, 0);
+}
+
+GPU_TEST_P(Async, Convert)
+{
+    cv::cuda::Stream stream;
+
+    d_src.upload(src, stream);
+    d_src.convertTo(d_dst, CV_32S, stream);
+    d_dst.download(dst, stream);
+
+    Async* test = this;
+    stream.enqueueHostCallback(checkConvert, test);
+
+    stream.waitForCompletion();
+}
+
+INSTANTIATE_TEST_CASE_P(GPU_Stream, Async, ALL_DEVICES);
+
+#endif // CUDART_VERSION >= 5000
+
+#endif // HAVE_CUDA