| // |
| // Copyright (c) 2017 The Khronos Group Inc. |
| // |
| // Licensed under the Apache License, Version 2.0 (the "License"); |
| // you may not use this file except in compliance with the License. |
| // You may obtain a copy of the License at |
| // |
| // http://www.apache.org/licenses/LICENSE-2.0 |
| // |
| // Unless required by applicable law or agreed to in writing, software |
| // distributed under the License is distributed on an "AS IS" BASIS, |
| // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| // See the License for the specific language governing permissions and |
| // limitations under the License. |
| // |
| #include "harness/compat.h" |
| |
| #include <stdio.h> |
| #include <stdlib.h> |
| #include <string.h> |
| #include <sys/types.h> |
| #include <sys/stat.h> |
| |
| #include <algorithm> |
| #include <numeric> |
| #include <vector> |
| |
| #include "procs.h" |
| |
| namespace { |
| const char *barrier_kernel_code = R"( |
| __kernel void compute_sum(__global int *a, int n, __global int *tmp_sum, |
| __global int *sum) |
| { |
| int tid = get_local_id(0); |
| int lsize = get_local_size(0); |
| int i; |
| |
| tmp_sum[tid] = 0; |
| for (i = tid; i < n; i += lsize) tmp_sum[tid] += a[i]; |
| |
| // updated to work for any workgroup size |
| for (i = hadd(lsize, 1); lsize > 1; i = hadd(i, 1)) |
| { |
| BARRIER(CLK_GLOBAL_MEM_FENCE); |
| if (tid + i < lsize) tmp_sum[tid] += tmp_sum[tid + i]; |
| lsize = i; |
| } |
| |
| // no barrier is required here because last person to write to tmp_sum[0] |
| // was tid 0 |
| if (tid == 0) *sum = tmp_sum[0]; |
| } |
| )"; |
| |
| |
| void generate_random_inputs(std::vector<cl_int> &v) |
| { |
| RandomSeed seed(gRandomSeed); |
| |
| auto random_generator = [&seed]() { |
| return static_cast<cl_int>( |
| get_random_float(-0x01000000, 0x01000000, seed)); |
| }; |
| |
| std::generate(v.begin(), v.end(), random_generator); |
| } |
| |
| int test_barrier_common(cl_device_id device, cl_context context, |
| cl_command_queue queue, int num_elements, |
| std::string barrier_str) |
| { |
| clMemWrapper streams[3]; |
| clProgramWrapper program; |
| clKernelWrapper kernel; |
| |
| cl_int output; |
| int err; |
| |
| size_t max_threadgroup_size = 0; |
| std::string build_options = std::string("-DBARRIER=") + barrier_str; |
| err = create_single_kernel_helper(context, &program, &kernel, 1, |
| &barrier_kernel_code, "compute_sum", |
| build_options.c_str()); |
| test_error(err, "Failed to build kernel/program."); |
| |
| err = get_max_allowed_1d_work_group_size_on_device(device, kernel, |
| &max_threadgroup_size); |
| test_error(err, "get_max_allowed_1d_work_group_size_on_device failed."); |
| |
| // work group size must divide evenly into the global size |
| while (num_elements % max_threadgroup_size) max_threadgroup_size--; |
| |
| std::vector<cl_int> input(num_elements); |
| |
| streams[0] = clCreateBuffer(context, CL_MEM_READ_WRITE, |
| sizeof(cl_int) * num_elements, nullptr, &err); |
| test_error(err, "clCreateBuffer failed."); |
| streams[1] = clCreateBuffer(context, CL_MEM_READ_WRITE, sizeof(cl_int), |
| nullptr, &err); |
| test_error(err, "clCreateBuffer failed."); |
| streams[2] = |
| clCreateBuffer(context, CL_MEM_READ_WRITE, |
| sizeof(cl_int) * max_threadgroup_size, nullptr, &err); |
| test_error(err, "clCreateBuffer failed."); |
| |
| generate_random_inputs(input); |
| |
| err = clEnqueueWriteBuffer(queue, streams[0], CL_TRUE, 0, |
| sizeof(cl_int) * num_elements, input.data(), 0, |
| nullptr, nullptr); |
| test_error(err, "clEnqueueWriteBuffer failed."); |
| |
| err = clSetKernelArg(kernel, 0, sizeof(streams[0]), &streams[0]); |
| err |= clSetKernelArg(kernel, 1, sizeof(num_elements), &num_elements); |
| err |= clSetKernelArg(kernel, 2, sizeof(streams[2]), &streams[2]); |
| err |= clSetKernelArg(kernel, 3, sizeof(streams[1]), &streams[1]); |
| test_error(err, "clSetKernelArg failed."); |
| |
| size_t global_threads[] = { max_threadgroup_size }; |
| size_t local_threads[] = { max_threadgroup_size }; |
| |
| err = clEnqueueNDRangeKernel(queue, kernel, 1, nullptr, global_threads, |
| local_threads, 0, nullptr, nullptr); |
| test_error(err, "clEnqueueNDRangeKernel failed."); |
| |
| err = clEnqueueReadBuffer(queue, streams[1], true, 0, sizeof(cl_int), |
| &output, 0, nullptr, nullptr); |
| test_error(err, "clEnqueueReadBuffer failed."); |
| |
| if (std::accumulate(input.begin(), input.end(), 0) != output) |
| { |
| log_error("%s test failed\n", barrier_str.c_str()); |
| err = -1; |
| } |
| else |
| { |
| log_info("%s test passed\n", barrier_str.c_str()); |
| } |
| |
| return err; |
| } |
| } |
| |
| int test_barrier(cl_device_id device, cl_context context, |
| cl_command_queue queue, int num_elements) |
| { |
| return test_barrier_common(device, context, queue, num_elements, "barrier"); |
| } |
| |
| int test_wg_barrier(cl_device_id device, cl_context context, |
| cl_command_queue queue, int num_elements) |
| { |
| return test_barrier_common(device, context, queue, num_elements, |
| "work_group_barrier"); |
| } |