mirror of
https://github.com/KhronosGroup/OpenCL-CTS.git
synced 2026-03-19 22:19:02 +00:00
1011f8ea81
This bug was introduced by https://github.com/KhronosGroup/OpenCL-CTS/pull/1711 Ref google/clspv#1127
285 lines
13 KiB
C++
285 lines
13 KiB
C++
//
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// Copyright (c) 2023 The Khronos Group Inc.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://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,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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//
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#include "harness/compat.h"
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#include <stdio.h>
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#include <stdlib.h>
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#include <string.h>
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#include <sys/types.h>
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#include <sys/stat.h>
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#include <vector>
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#include "procs.h"
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#include "harness/conversions.h"
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// clang-format off
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static const char *async_strided_global_to_local_kernel =
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"%s\n" // optional pragma string
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"__kernel void test_fn( const __global %s *src, __global %s *dst, __local %s *localBuffer, int copiesPerWorkgroup, int copiesPerWorkItem, int stride )\n"
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"{\n"
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" int i;\n"
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// Zero the local storage first
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" for(i=0; i<copiesPerWorkItem; i++)\n"
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" localBuffer[ get_local_id( 0 )*copiesPerWorkItem+i ] = (%s)(%s)0;\n"
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// Do this to verify all kernels are done zeroing the local buffer before we try the copy
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" barrier( CLK_LOCAL_MEM_FENCE );\n"
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" event_t event;\n"
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" event = async_work_group_strided_copy( (__local %s*)localBuffer, (__global const %s*)(src+copiesPerWorkgroup*stride*get_group_id(0)), (size_t)copiesPerWorkgroup, (size_t)stride, 0 );\n"
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// Wait for the copy to complete, then verify by manually copying to the dest
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" wait_group_events( 1, &event );\n"
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" for(i=0; i<copiesPerWorkItem; i++)\n"
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" dst[ get_global_id( 0 )*copiesPerWorkItem*stride+i*stride ] = localBuffer[ get_local_id( 0 )*copiesPerWorkItem+i ];\n"
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"}\n" ;
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static const char *async_strided_local_to_global_kernel =
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"%s\n" // optional pragma string
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"__kernel void test_fn( const __global %s *src, __global %s *dst, __local %s *localBuffer, int copiesPerWorkgroup, int copiesPerWorkItem, int stride )\n"
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"{\n"
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" int i;\n"
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// Zero the local storage first
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" for(i=0; i<copiesPerWorkItem; i++)\n"
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" localBuffer[ get_local_id( 0 )*copiesPerWorkItem+i ] = (%s)(%s)0;\n"
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// Do this to verify all kernels are done zeroing the local buffer before we try the copy
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" barrier( CLK_LOCAL_MEM_FENCE );\n"
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" for(i=0; i<copiesPerWorkItem; i++)\n"
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" localBuffer[ get_local_id( 0 )*copiesPerWorkItem+i ] = src[ get_global_id( 0 )*copiesPerWorkItem*stride+i*stride ];\n"
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// Do this to verify all kernels are done copying to the local buffer before we try the copy
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" barrier( CLK_LOCAL_MEM_FENCE );\n"
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" event_t event;\n"
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" event = async_work_group_strided_copy((__global %s*)(dst+copiesPerWorkgroup*stride*get_group_id(0)), (__local const %s*)localBuffer, (size_t)copiesPerWorkgroup, (size_t)stride, 0 );\n"
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" wait_group_events( 1, &event );\n"
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"}\n" ;
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// clang-format on
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int test_strided_copy(cl_device_id deviceID, cl_context context, cl_command_queue queue, const char *kernelCode, ExplicitType vecType, int vecSize, int stride)
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{
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int error;
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clProgramWrapper program;
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clKernelWrapper kernel;
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clMemWrapper streams[ 2 ];
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size_t threads[ 1 ], localThreads[ 1 ];
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MTdataHolder d(gRandomSeed);
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char vecNameString[64]; vecNameString[0] = 0;
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if (vecSize == 1)
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sprintf(vecNameString, "%s", get_explicit_type_name(vecType));
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else
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sprintf(vecNameString, "%s%d", get_explicit_type_name(vecType), vecSize);
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log_info("Testing %s\n", vecNameString);
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cl_long max_local_mem_size;
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error = clGetDeviceInfo(deviceID, CL_DEVICE_LOCAL_MEM_SIZE, sizeof(max_local_mem_size), &max_local_mem_size, NULL);
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test_error( error, "clGetDeviceInfo for CL_DEVICE_LOCAL_MEM_SIZE failed.");
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unsigned int num_of_compute_devices;
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error = clGetDeviceInfo(deviceID, CL_DEVICE_MAX_COMPUTE_UNITS, sizeof(num_of_compute_devices), &num_of_compute_devices, NULL);
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test_error( error, "clGetDeviceInfo for CL_DEVICE_MAX_COMPUTE_UNITS failed.");
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char programSource[4096]; programSource[0]=0;
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char *programPtr;
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std::string extStr = "";
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if (vecType == kDouble)
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extStr = "#pragma OPENCL EXTENSION cl_khr_fp64 : enable";
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else if (vecType == kHalf)
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extStr = "#pragma OPENCL EXTENSION cl_khr_fp16 : enable";
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sprintf(programSource, kernelCode, extStr.c_str(), vecNameString,
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vecNameString, vecNameString, vecNameString,
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get_explicit_type_name(vecType), vecNameString, vecNameString);
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//log_info("program: %s\n", programSource);
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programPtr = programSource;
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error = create_single_kernel_helper( context, &program, &kernel, 1, (const char **)&programPtr, "test_fn" );
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test_error( error, "Unable to create testing kernel" );
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size_t max_workgroup_size;
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error = clGetKernelWorkGroupInfo(kernel, deviceID, CL_KERNEL_WORK_GROUP_SIZE, sizeof(max_workgroup_size), &max_workgroup_size, NULL);
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test_error (error, "clGetKernelWorkGroupInfo failed for CL_KERNEL_WORK_GROUP_SIZE.");
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size_t max_local_workgroup_size[3];
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error = clGetDeviceInfo(deviceID, CL_DEVICE_MAX_WORK_ITEM_SIZES, sizeof(max_local_workgroup_size), max_local_workgroup_size, NULL);
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test_error (error, "clGetDeviceInfo failed for CL_DEVICE_MAX_WORK_ITEM_SIZES");
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// Pick the minimum of the device and the kernel
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if (max_workgroup_size > max_local_workgroup_size[0])
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max_workgroup_size = max_local_workgroup_size[0];
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size_t elementSize = get_explicit_type_size(vecType)* ((vecSize == 3) ? 4 : vecSize);
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cl_ulong max_global_mem_size;
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error = clGetDeviceInfo(deviceID, CL_DEVICE_GLOBAL_MEM_SIZE, sizeof(max_global_mem_size), &max_global_mem_size, NULL);
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test_error (error, "clGetDeviceInfo failed for CL_DEVICE_GLOBAL_MEM_SIZE");
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if (max_global_mem_size > (cl_ulong)SIZE_MAX) {
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max_global_mem_size = (cl_ulong)SIZE_MAX;
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}
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cl_bool unified_mem;
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error = clGetDeviceInfo(deviceID, CL_DEVICE_HOST_UNIFIED_MEMORY, sizeof(unified_mem), &unified_mem, NULL);
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test_error (error, "clGetDeviceInfo failed for CL_DEVICE_HOST_UNIFIED_MEMORY");
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int number_of_global_mem_buffers = (unified_mem) ? 4 : 2;
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size_t numberOfCopiesPerWorkitem = 3;
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size_t localStorageSpacePerWorkitem = numberOfCopiesPerWorkitem*elementSize;
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size_t maxLocalWorkgroupSize = (((int)max_local_mem_size/2)/localStorageSpacePerWorkitem);
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size_t localWorkgroupSize = maxLocalWorkgroupSize;
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if (maxLocalWorkgroupSize > max_workgroup_size)
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localWorkgroupSize = max_workgroup_size;
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size_t localBufferSize = localWorkgroupSize*elementSize*numberOfCopiesPerWorkitem;
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size_t numberOfLocalWorkgroups = 579;//1111;
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// Reduce the numberOfLocalWorkgroups so that no more than 1/2 of CL_DEVICE_GLOBAL_MEM_SIZE is consumed
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// by the allocated buffer. This is done to avoid resource errors resulting from address space fragmentation.
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size_t numberOfLocalWorkgroupsLimit = max_global_mem_size / (2 * number_of_global_mem_buffers * localBufferSize * stride);
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if (numberOfLocalWorkgroups > numberOfLocalWorkgroupsLimit) numberOfLocalWorkgroups = numberOfLocalWorkgroupsLimit;
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size_t globalBufferSize = numberOfLocalWorkgroups*localBufferSize*stride;
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size_t globalWorkgroupSize = numberOfLocalWorkgroups*localWorkgroupSize;
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std::vector<unsigned char> inBuffer(globalBufferSize);
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std::vector<unsigned char> outBuffer(globalBufferSize);
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memset(outBuffer.data(), 0, globalBufferSize);
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cl_int copiesPerWorkItemInt, copiesPerWorkgroup;
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copiesPerWorkItemInt = (int)numberOfCopiesPerWorkitem;
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copiesPerWorkgroup = (int)(numberOfCopiesPerWorkitem*localWorkgroupSize);
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log_info("Global: %d, local %d, local buffer %db, global buffer %db, copy stride %d, each work group will copy %d elements and each work item item will copy %d elements.\n",
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(int) globalWorkgroupSize, (int)localWorkgroupSize, (int)localBufferSize, (int)globalBufferSize, (int)stride, copiesPerWorkgroup, copiesPerWorkItemInt);
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threads[0] = globalWorkgroupSize;
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localThreads[0] = localWorkgroupSize;
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generate_random_data(vecType,
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globalBufferSize / get_explicit_type_size(vecType), d,
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inBuffer.data());
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streams[0] = clCreateBuffer(context, CL_MEM_COPY_HOST_PTR, globalBufferSize,
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inBuffer.data(), &error);
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test_error( error, "Unable to create input buffer" );
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streams[1] = clCreateBuffer(context, CL_MEM_COPY_HOST_PTR, globalBufferSize,
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outBuffer.data(), &error);
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test_error( error, "Unable to create output buffer" );
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error = clSetKernelArg( kernel, 0, sizeof( streams[ 0 ] ), &streams[ 0 ] );
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test_error( error, "Unable to set kernel argument" );
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error = clSetKernelArg( kernel, 1, sizeof( streams[ 1 ] ), &streams[ 1 ] );
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test_error( error, "Unable to set kernel argument" );
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error = clSetKernelArg( kernel, 2, localBufferSize, NULL );
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test_error( error, "Unable to set kernel argument" );
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error = clSetKernelArg( kernel, 3, sizeof(copiesPerWorkgroup), &copiesPerWorkgroup );
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test_error( error, "Unable to set kernel argument" );
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error = clSetKernelArg( kernel, 4, sizeof(copiesPerWorkItemInt), &copiesPerWorkItemInt );
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test_error( error, "Unable to set kernel argument" );
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error = clSetKernelArg( kernel, 5, sizeof(stride), &stride );
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test_error( error, "Unable to set kernel argument" );
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// Enqueue
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error = clEnqueueNDRangeKernel( queue, kernel, 1, NULL, threads, localThreads, 0, NULL, NULL );
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test_error( error, "Unable to queue kernel" );
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// Read
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error = clEnqueueReadBuffer(queue, streams[1], CL_TRUE, 0, globalBufferSize,
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outBuffer.data(), 0, NULL, NULL);
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test_error( error, "Unable to read results" );
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// Verify
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size_t typeSize = get_explicit_type_size(vecType)* vecSize;
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for (int i=0; i<(int)globalBufferSize; i+=(int)elementSize*(int)stride)
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{
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if (memcmp(&inBuffer.at(i), &outBuffer.at(i), typeSize) != 0)
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{
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unsigned char *inchar =
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static_cast<unsigned char *>(&inBuffer.at(i));
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unsigned char *outchar =
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static_cast<unsigned char *>(&outBuffer.at(i));
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char values[4096];
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values[0] = 0;
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log_error( "ERROR: Results of copy did not validate!\n" );
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sprintf(values + strlen( values), "%d -> [", i);
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for (int j=0; j<(int)elementSize; j++)
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sprintf(values + strlen( values), "%2x ", inchar[j]);
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sprintf(values + strlen(values), "] != [");
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for (int j=0; j<(int)elementSize; j++)
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sprintf(values + strlen( values), "%2x ", outchar[j]);
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sprintf(values + strlen(values), "]");
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log_error("%s\n", values);
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return -1;
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}
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}
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return 0;
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}
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int test_strided_copy_all_types(cl_device_id deviceID, cl_context context, cl_command_queue queue, const char *kernelCode)
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{
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const std::vector<ExplicitType> vecType = { kChar, kUChar, kShort, kUShort,
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kInt, kUInt, kLong, kULong,
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kFloat, kHalf, kDouble };
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const unsigned int vecSizes[] = { 1, 2, 3, 4, 8, 16, 0 };
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const unsigned int strideSizes[] = { 1, 3, 4, 5, 0 };
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unsigned int size, typeIndex, stride;
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int errors = 0;
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bool fp16Support = is_extension_available(deviceID, "cl_khr_fp16");
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bool fp64Support = is_extension_available(deviceID, "cl_khr_fp64");
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for (typeIndex = 0; typeIndex < vecType.size(); typeIndex++)
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{
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if (( vecType[ typeIndex ] == kLong || vecType[ typeIndex ] == kULong ) && !gHasLong )
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continue;
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else if (vecType[typeIndex] == kDouble && !fp64Support)
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continue;
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else if (vecType[typeIndex] == kHalf && !fp16Support)
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continue;
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for( size = 0; vecSizes[ size ] != 0; size++ )
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{
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for( stride = 0; strideSizes[ stride ] != 0; stride++)
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{
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if (test_strided_copy( deviceID, context, queue, kernelCode, vecType[typeIndex], vecSizes[size], strideSizes[stride] ))
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{
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errors++;
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}
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}
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}
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}
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if (errors)
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return -1;
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return 0;
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}
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int test_async_strided_copy_global_to_local(cl_device_id deviceID, cl_context context, cl_command_queue queue, int num_elements)
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{
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return test_strided_copy_all_types( deviceID, context, queue, async_strided_global_to_local_kernel );
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}
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int test_async_strided_copy_local_to_global(cl_device_id deviceID, cl_context context, cl_command_queue queue, int num_elements)
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{
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return test_strided_copy_all_types( deviceID, context, queue, async_strided_local_to_global_kernel );
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}
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