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1 //
2 // Copyright (c) 2017 The Khronos Group Inc.
3 //
4 // Licensed under the Apache License, Version 2.0 (the "License");
5 // you may not use this file except in compliance with the License.
6 // You may obtain a copy of the License at
7 //
8 //    http://www.apache.org/licenses/LICENSE-2.0
9 //
10 // Unless required by applicable law or agreed to in writing, software
11 // distributed under the License is distributed on an "AS IS" BASIS,
12 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 // See the License for the specific language governing permissions and
14 // limitations under the License.
15 //
16 #ifndef TEST_CONFORMANCE_CLCPP_IMAGES_TEST_READ_HPP
17 #define TEST_CONFORMANCE_CLCPP_IMAGES_TEST_READ_HPP
18 
19 #include <sstream>
20 #include <string>
21 #include <tuple>
22 #include <vector>
23 
24 #include "common.hpp"
25 
26 
27 namespace test_images_read {
28 
29 template<cl_mem_object_type ImageType, cl_channel_type ChannelType>
30 struct image_test : image_test_base<ImageType, ChannelType>
31 {
32     cl_channel_order channel_order;
33 
image_testtest_images_read::image_test34     image_test(cl_channel_order channel_order) :
35         channel_order(channel_order)
36     { }
37 // -----------------------------------------------------------------------------------
38 // ------------- ONLY FOR OPENCL 22 CONFORMANCE TEST 22 DEVELOPMENT ------------------
39 // -----------------------------------------------------------------------------------
40 #if defined(DEVELOPMENT) && defined(USE_OPENCLC_KERNELS)
generate_sourcetest_images_read::image_test41     std::string generate_source()
42     {
43         std::stringstream s;
44         s << R"(
45         typedef )" << type_name<typename image_test::element_type>() << R"( element_type;
46 
47         kernel void test(
48             read_only )" << image_test::image_type_name() << R"(_t img,
49             const global int4 *coords,
50             global element_type *output
51         ) {
52             const ulong gid = get_global_linear_id();
53 
54             output[gid] = read_image)" << image_test::function_suffix() <<
55                 "(img, coords[gid]." << image_test::coord_accessor() << R"();
56         }
57         )";
58 
59         return s.str();
60     }
61 #else
generate_sourcetest_images_read::image_test62     std::string generate_source()
63     {
64         std::stringstream s;
65         s << R"(
66         #include <opencl_memory>
67         #include <opencl_common>
68         #include <opencl_work_item>
69         #include <opencl_image>
70         using namespace cl;
71         )";
72 
73         s << R"(
74         typedef )" << type_name<typename image_test::element_type>() <<  R"( element_type;
75 
76         kernel void test(
77             const )" << image_test::image_type_name() << R"(<element_type, image_access::read> img,
78             const global_ptr<int4[]> coords,
79             global_ptr<element_type[]> output
80         ) {
81             const ulong gid = get_global_linear_id();
82 
83             output[gid] = img.read(coords[gid].)" << image_test::coord_accessor() << R"();
84         }
85         )";
86 
87         return s.str();
88     }
89 #endif
90 
runtest_images_read::image_test91     int run(cl_device_id device, cl_context context, cl_command_queue queue, int num_elements)
92     {
93         int error = CL_SUCCESS;
94 
95         cl_program program;
96         cl_kernel kernel;
97 
98         std::string kernel_name = "test";
99         std::string source = generate_source();
100 
101 // -----------------------------------------------------------------------------------
102 // ------------- ONLY FOR OPENCL 22 CONFORMANCE TEST 22 DEVELOPMENT ------------------
103 // -----------------------------------------------------------------------------------
104 // Only OpenCL C++ to SPIR-V compilation
105 #if defined(DEVELOPMENT) && defined(ONLY_SPIRV_COMPILATION)
106         error = create_opencl_kernel(
107             context, &program, &kernel,
108             source, kernel_name
109         );
110         RETURN_ON_ERROR(error)
111         return error;
112 // Use OpenCL C kernels instead of OpenCL C++ kernels (test C++ host code)
113 #elif defined(DEVELOPMENT) && defined(USE_OPENCLC_KERNELS)
114         error = create_opencl_kernel(
115             context, &program, &kernel,
116             source, kernel_name, "-cl-std=CL2.0", false
117         );
118         RETURN_ON_ERROR(error)
119 // Normal run
120 #else
121         error = create_opencl_kernel(
122             context, &program, &kernel,
123             source, kernel_name
124         );
125         RETURN_ON_ERROR(error)
126 #endif
127 
128         using element_type = typename image_test::element_type;
129         using coord_type = cl_int4;
130         using scalar_element_type = typename scalar_type<element_type>::type;
131         using channel_type = typename image_test::channel_type;
132 
133         cl_image_format image_format;
134         image_format.image_channel_order = channel_order;
135         image_format.image_channel_data_type = ChannelType;
136 
137         const size_t pixel_size = get_pixel_size(&image_format);
138         const size_t channel_count = get_channel_order_channel_count(image_format.image_channel_order);
139 
140         cl_image_desc image_desc;
141         image_desc.image_type = ImageType;
142         if (ImageType == CL_MEM_OBJECT_IMAGE1D)
143         {
144             image_desc.image_width = 2048;
145             image_desc.image_height = 1;
146             image_desc.image_depth = 1;
147         }
148         else if (ImageType == CL_MEM_OBJECT_IMAGE2D)
149         {
150             image_desc.image_width = 256;
151             image_desc.image_height = 256;
152             image_desc.image_depth = 1;
153         }
154         else if (ImageType == CL_MEM_OBJECT_IMAGE3D)
155         {
156             image_desc.image_width = 64;
157             image_desc.image_height = 64;
158             image_desc.image_depth = 64;
159         }
160         image_desc.image_array_size = 0;
161         image_desc.image_row_pitch = image_desc.image_width * pixel_size;
162         image_desc.image_slice_pitch = image_desc.image_row_pitch * image_desc.image_height;
163         image_desc.num_mip_levels = 0;
164         image_desc.num_samples = 0;
165         image_desc.mem_object = NULL;
166 
167         image_descriptor image_info = create_image_descriptor(image_desc, &image_format);
168 
169         std::vector<channel_type> image_values = generate_input(
170             image_desc.image_width * image_desc.image_height * image_desc.image_depth * channel_count,
171             image_test::channel_min(), image_test::channel_max(),
172             std::vector<channel_type>()
173         );
174 
175         const size_t count = num_elements;
176 
177         std::vector<coord_type> coords = generate_input(
178             count,
179             detail::make_value<coord_type>(0),
180             coord_type {
181                 static_cast<cl_int>(image_desc.image_width - 1),
182                 static_cast<cl_int>(image_desc.image_height - 1),
183                 static_cast<cl_int>(image_desc.image_depth - 1),
184                 0
185             },
186             std::vector<coord_type>()
187         );
188 
189         cl_mem img = clCreateImage(context, CL_MEM_READ_ONLY | CL_MEM_COPY_HOST_PTR,
190             &image_format, &image_desc, static_cast<void *>(image_values.data()), &error);
191         RETURN_ON_CL_ERROR(error, "clCreateImage")
192 
193         cl_mem coords_buffer = clCreateBuffer(context, CL_MEM_READ_ONLY | CL_MEM_COPY_HOST_PTR,
194             sizeof(coord_type) * count, static_cast<void *>(coords.data()), &error);
195         RETURN_ON_CL_ERROR(error, "clCreateBuffer")
196 
197         cl_mem output_buffer = clCreateBuffer(context, CL_MEM_READ_ONLY, sizeof(element_type) * count, NULL, &error);
198         RETURN_ON_CL_ERROR(error, "clCreateBuffer")
199 
200         error = clSetKernelArg(kernel, 0, sizeof(cl_mem), &img);
201         RETURN_ON_CL_ERROR(error, "clSetKernelArg")
202         error = clSetKernelArg(kernel, 1, sizeof(coords_buffer), &coords_buffer);
203         RETURN_ON_CL_ERROR(error, "clSetKernelArg")
204         error = clSetKernelArg(kernel, 2, sizeof(output_buffer), &output_buffer);
205         RETURN_ON_CL_ERROR(error, "clSetKernelArg")
206 
207         const size_t global_size = count;
208         error = clEnqueueNDRangeKernel(queue, kernel, 1, NULL, &global_size, NULL, 0, NULL, NULL);
209         RETURN_ON_CL_ERROR(error, "clEnqueueNDRangeKernel")
210 
211         std::vector<element_type> output(count);
212         error = clEnqueueReadBuffer(
213             queue, output_buffer, CL_TRUE,
214             0, sizeof(element_type) * count,
215             static_cast<void *>(output.data()),
216             0, NULL, NULL
217         );
218         RETURN_ON_CL_ERROR(error, "clEnqueueReadBuffer")
219 
220         for (size_t i = 0; i < count; i++)
221         {
222             const coord_type c = coords[i];
223             const element_type result = output[i];
224 
225             element_type expected;
226             read_image_pixel<scalar_element_type>(static_cast<void *>(image_values.data()), &image_info,
227                 c.s[0], c.s[1], c.s[2],
228                 expected.s);
229 
230             if (!are_equal(result, expected))
231             {
232                 RETURN_ON_ERROR_MSG(-1,
233                     "Reading from coordinates %s failed. Expected: %s, got: %s",
234                     format_value(c).c_str(), format_value(expected).c_str(), format_value(result).c_str()
235                 );
236             }
237         }
238 
239         clReleaseMemObject(img);
240         clReleaseMemObject(coords_buffer);
241         clReleaseMemObject(output_buffer);
242         clReleaseKernel(kernel);
243         clReleaseProgram(program);
244         return error;
245     }
246 };
247 
248 template<cl_mem_object_type ImageType>
run_test_cases(cl_device_id device,cl_context context,cl_command_queue queue,int num_elements)249 int run_test_cases(cl_device_id device, cl_context context, cl_command_queue queue, int num_elements)
250 {
251     if (!is_test_supported(device))
252         return CL_SUCCESS;
253 
254     int error = CL_SUCCESS;
255 
256     for (auto channel_order : get_channel_orders(device))
257     {
258         error = image_test<ImageType, CL_SIGNED_INT8>(channel_order)
259             .run(device, context, queue, num_elements);
260         RETURN_ON_ERROR(error)
261         error = image_test<ImageType, CL_SIGNED_INT16>(channel_order)
262             .run(device, context, queue, num_elements);
263         RETURN_ON_ERROR(error)
264         error = image_test<ImageType, CL_SIGNED_INT32>(channel_order)
265             .run(device, context, queue, num_elements);
266         RETURN_ON_ERROR(error)
267 
268         error = image_test<ImageType, CL_UNSIGNED_INT8>(channel_order)
269             .run(device, context, queue, num_elements);
270         RETURN_ON_ERROR(error)
271         error = image_test<ImageType, CL_UNSIGNED_INT16>(channel_order)
272             .run(device, context, queue, num_elements);
273         RETURN_ON_ERROR(error)
274         error = image_test<ImageType, CL_UNSIGNED_INT32>(channel_order)
275             .run(device, context, queue, num_elements);
276         RETURN_ON_ERROR(error)
277 
278         error = image_test<ImageType, CL_FLOAT>(channel_order)
279             .run(device, context, queue, num_elements);
280         RETURN_ON_ERROR(error)
281     }
282 
283     return error;
284 }
285 
286 
AUTO_TEST_CASE(test_images_read_1d)287 AUTO_TEST_CASE(test_images_read_1d)
288 (cl_device_id device, cl_context context, cl_command_queue queue, int num_elements)
289 {
290     return run_test_cases<CL_MEM_OBJECT_IMAGE1D>(device, context, queue, num_elements);
291 }
292 
AUTO_TEST_CASE(test_images_read_2d)293 AUTO_TEST_CASE(test_images_read_2d)
294 (cl_device_id device, cl_context context, cl_command_queue queue, int num_elements)
295 {
296     return run_test_cases<CL_MEM_OBJECT_IMAGE2D>(device, context, queue, num_elements);
297 }
298 
AUTO_TEST_CASE(test_images_read_3d)299 AUTO_TEST_CASE(test_images_read_3d)
300 (cl_device_id device, cl_context context, cl_command_queue queue, int num_elements)
301 {
302     return run_test_cases<CL_MEM_OBJECT_IMAGE3D>(device, context, queue, num_elements);
303 }
304 
305 } // namespace
306 
307 #endif // TEST_CONFORMANCE_CLCPP_IMAGES_TEST_READ_HPP
308