testOpenCLKernel(k);
}
++
+ TEST(OpenCL, image2Dcount_regression_19334)
+ {
+ cv::ocl::Context ctx = cv::ocl::Context::getDefault();
+ if (!ctx.ptr())
+ {
+ throw cvtest::SkipTestException("OpenCL is not available");
+ }
+ cv::ocl::Device device = cv::ocl::Device::getDefault();
+ if (!device.compilerAvailable())
+ {
+ throw cvtest::SkipTestException("OpenCL compiler is not available");
+ }
+
+ std::string module_name; // empty to disable OpenCL cache
+
+ static const char* opencl_kernel_src =
+ "__kernel void test_kernel(int a,\n"
+ " __global const uchar* src0, int src0_step, int src0_offset, int src0_rows, int src0_cols,\n"
+ " __global const uchar* src1, int src1_step, int src1_offset, int src1_rows, int src1_cols,\n"
+ " __global const uchar* src2, int src2_step, int src2_offset, int src2_rows, int src2_cols,\n"
+ " __read_only image2d_t image)\n"
+ "{\n"
+ "}";
+ cv::ocl::ProgramSource src(module_name, "test_opencl_image_arg", opencl_kernel_src, "");
+ cv::String errmsg;
+ cv::ocl::Program program(src, "", errmsg);
+ ASSERT_TRUE(program.ptr() != NULL);
+ cv::ocl::Kernel k("test_kernel", program);
+ ASSERT_FALSE(k.empty());
+
+ std::vector<UMat> images(4);
+ for (size_t i = 0; i < images.size(); ++i)
+ images[i] = UMat(10, 10, CV_8UC1);
+ cv::ocl::Image2D image;
+ try
+ {
+ cv::ocl::Image2D image_(images.back());
+ image = image_;
+ }
+ catch (const cv::Exception&)
+ {
+ throw cvtest::SkipTestException("OpenCL images are not supported");
+ }
+
+ int nargs = 0;
+ int a = 0;
+ nargs = k.set(nargs, a);
+ ASSERT_EQ(1, nargs);
+ nargs = k.set(nargs, images[0]);
+ ASSERT_EQ(6, nargs);
+ nargs = k.set(nargs, images[1]);
+ ASSERT_EQ(11, nargs);
+ nargs = k.set(nargs, images[2]);
+ ASSERT_EQ(16, nargs);
+
+ // do not throw (issue of #19334)
+ ASSERT_NO_THROW(nargs = k.set(nargs, image));
+ ASSERT_EQ(17, nargs);
+
+ // allow to replace image argument if kernel is not running
+ UMat image2(10, 10, CV_8UC1);
+ ASSERT_NO_THROW(nargs = k.set(16, cv::ocl::Image2D(image2)));
+ ASSERT_EQ(17, nargs);
+ }
+
++
+TEST(OpenCL, move_construct_assign)
+{
+ cv::ocl::Context ctx1 = cv::ocl::Context::getDefault();
+ if (!ctx1.ptr())
+ {
+ throw cvtest::SkipTestException("OpenCL is not available");
+ }
+ void* const ctx_ptr = ctx1.ptr();
+ cv::ocl::Context ctx2(std::move(ctx1));
+ ASSERT_EQ(ctx1.ptr(), nullptr);
+ ASSERT_EQ(ctx2.ptr(), ctx_ptr);
+ cv::ocl::Context ctx3 = std::move(ctx2);
+ ASSERT_EQ(ctx2.ptr(), nullptr);
+ ASSERT_EQ(ctx3.ptr(), ctx_ptr);
+
+ cv::ocl::Platform pl1 = cv::ocl::Platform::getDefault();
+ void* const pl_ptr = pl1.ptr();
+ cv::ocl::Platform pl2(std::move(pl1));
+ ASSERT_EQ(pl1.ptr(), nullptr);
+ ASSERT_EQ(pl2.ptr(), pl_ptr);
+ cv::ocl::Platform pl3 = std::move(pl2);
+ ASSERT_EQ(pl2.ptr(), nullptr);
+ ASSERT_EQ(pl3.ptr(), pl_ptr);
+
+ std::vector<cv::ocl::PlatformInfo> platformInfos;
+ cv::ocl::getPlatfomsInfo(platformInfos);
+ const cv::String pi_name = platformInfos[0].name();
+ cv::ocl::PlatformInfo pinfo2(std::move(platformInfos[0]));
+ ASSERT_EQ(platformInfos[0].name(), cv::String());
+ ASSERT_EQ(pinfo2.name(), pi_name);
+ cv::ocl::PlatformInfo pinfo3 = std::move(pinfo2);
+ ASSERT_EQ(pinfo2.name(), cv::String());
+ ASSERT_EQ(pinfo3.name(), pi_name);
+
+ cv::ocl::Queue q1 = cv::ocl::Queue::getDefault();
+ void* const q_ptr = q1.ptr();
+ cv::ocl::Queue q2(std::move(q1));
+ ASSERT_EQ(q1.ptr(), nullptr);
+ ASSERT_EQ(q2.ptr(), q_ptr);
+ cv::ocl::Queue q3 = std::move(q2);
+ ASSERT_EQ(q2.ptr(), nullptr);
+ ASSERT_EQ(q3.ptr(), q_ptr);
+
+ cv::ocl::Device d1 = cv::ocl::Device::getDefault();
+ if (!d1.compilerAvailable())
+ {
+ throw cvtest::SkipTestException("OpenCL compiler is not available");
+ }
+ void* const d_ptr = d1.ptr();
+ cv::ocl::Device d2(std::move(d1));
+ ASSERT_EQ(d1.ptr(), nullptr);
+ ASSERT_EQ(d2.ptr(), d_ptr);
+ cv::ocl::Device d3 = std::move(d2);
+ ASSERT_EQ(d2.ptr(), nullptr);
+ ASSERT_EQ(d3.ptr(), d_ptr);
+
+ if (d3.imageSupport()) {
+ cv::UMat umat1 = cv::UMat::ones(640, 480, CV_32FC1);
+ cv::ocl::Image2D img1(umat1);
+ void *const img_ptr = img1.ptr();
+ cv::ocl::Image2D img2(std::move(img1));
+ ASSERT_EQ(img1.ptr(), nullptr);
+ ASSERT_EQ(img2.ptr(), img_ptr);
+ cv::ocl::Image2D img3 = std::move(img2);
+ ASSERT_EQ(img2.ptr(), nullptr);
+ ASSERT_EQ(img3.ptr(), img_ptr);
+ }
+
+ static const char* opencl_kernel_src =
+"__kernel void test_kernel(__global const uchar* src, int src_step, int src_offset,\n"
+" __global uchar* dst, int dst_step, int dst_offset, int dst_rows, int dst_cols,\n"
+" int c)\n"
+"{\n"
+" int x = get_global_id(0);\n"
+" int y = get_global_id(1);\n"
+" if (x < dst_cols && y < dst_rows)\n"
+" {\n"
+" int src_idx = y * src_step + x + src_offset;\n"
+" int dst_idx = y * dst_step + x + dst_offset;\n"
+" dst[dst_idx] = src[src_idx] + c;\n"
+" }\n"
+"}\n";
+ cv::String module_name; // empty to disable OpenCL cache
+ cv::ocl::ProgramSource ps1(module_name, "move_construct_assign", opencl_kernel_src, "");
+ cv::ocl::ProgramSource::Impl* const ps_ptr = ps1.getImpl();
+ cv::ocl::ProgramSource ps2(std::move(ps1));
+ ASSERT_EQ(ps1.getImpl(), nullptr);
+ ASSERT_EQ(ps2.getImpl(), ps_ptr);
+ cv::ocl::ProgramSource ps3 = std::move(ps2);
+ ASSERT_EQ(ps2.getImpl(), nullptr);
+ ASSERT_EQ(ps3.getImpl(), ps_ptr);
+
+ cv::String errmsg;
+ cv::ocl::Program prog1(ps3, "", errmsg);
+ void* const prog_ptr = prog1.ptr();
+ ASSERT_NE(prog_ptr, nullptr);
+ cv::ocl::Program prog2(std::move(prog1));
+ ASSERT_EQ(prog1.ptr(), nullptr);
+ ASSERT_EQ(prog2.ptr(), prog_ptr);
+ cv::ocl::Program prog3 = std::move(prog2);
+ ASSERT_EQ(prog2.ptr(), nullptr);
+ ASSERT_EQ(prog3.ptr(), prog_ptr);
+
+ cv::ocl::Kernel k1("test_kernel", prog3);
+ void* const k_ptr = k1.ptr();
+ ASSERT_NE(k_ptr, nullptr);
+ cv::ocl::Kernel k2(std::move(k1));
+ ASSERT_EQ(k1.ptr(), nullptr);
+ ASSERT_EQ(k2.ptr(), k_ptr);
+ cv::ocl::Kernel k3 = std::move(k2);
+ ASSERT_EQ(k2.ptr(), nullptr);
+ ASSERT_EQ(k3.ptr(), k_ptr);
+
+ testOpenCLKernel(k3);
+}
+
}} // namespace