mirror of
https://github.com/gnss-sdr/gnss-sdr
synced 2024-12-16 21:20:34 +00:00
025a24bb20
Added OpenCL Acquisition blocks and tests. git-svn-id: https://svn.code.sf.net/p/gnss-sdr/code/trunk@420 64b25241-fba3-4117-9849-534c7e92360d
403 lines
11 KiB
C++
403 lines
11 KiB
C++
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//
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// File: fft_setup.cpp
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//
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// Version: <1.0>
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//
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// Disclaimer: IMPORTANT: This Apple software is supplied to you by Apple Inc. ("Apple")
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// in consideration of your agreement to the following terms, and your use,
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// installation, modification or redistribution of this Apple software
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// constitutes acceptance of these terms. If you do not agree with these
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// terms, please do not use, install, modify or redistribute this Apple
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// software.
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//
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// In consideration of your agreement to abide by the following terms, and
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// subject to these terms, Apple grants you a personal, non - exclusive
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// license, under Apple's copyrights in this original Apple software ( the
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// "Apple Software" ), to use, reproduce, modify and redistribute the Apple
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// Software, with or without modifications, in source and / or binary forms;
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// provided that if you redistribute the Apple Software in its entirety and
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// without modifications, you must retain this notice and the following text
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// and disclaimers in all such redistributions of the Apple Software. Neither
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// the name, trademarks, service marks or logos of Apple Inc. may be used to
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// endorse or promote products derived from the Apple Software without specific
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// prior written permission from Apple. Except as expressly stated in this
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// notice, no other rights or licenses, express or implied, are granted by
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// Apple herein, including but not limited to any patent rights that may be
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// infringed by your derivative works or by other works in which the Apple
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// Software may be incorporated.
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//
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// The Apple Software is provided by Apple on an "AS IS" basis. APPLE MAKES NO
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// WARRANTIES, EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION THE IMPLIED
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// WARRANTIES OF NON - INFRINGEMENT, MERCHANTABILITY AND FITNESS FOR A
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// PARTICULAR PURPOSE, REGARDING THE APPLE SOFTWARE OR ITS USE AND OPERATION
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// ALONE OR IN COMBINATION WITH YOUR PRODUCTS.
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//
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// IN NO EVENT SHALL APPLE BE LIABLE FOR ANY SPECIAL, INDIRECT, INCIDENTAL OR
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// CONSEQUENTIAL DAMAGES ( INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
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// SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
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// INTERRUPTION ) ARISING IN ANY WAY OUT OF THE USE, REPRODUCTION, MODIFICATION
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// AND / OR DISTRIBUTION OF THE APPLE SOFTWARE, HOWEVER CAUSED AND WHETHER
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// UNDER THEORY OF CONTRACT, TORT ( INCLUDING NEGLIGENCE ), STRICT LIABILITY OR
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// OTHERWISE, EVEN IF APPLE HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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//
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// Copyright ( C ) 2008 Apple Inc. All Rights Reserved.
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//
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////////////////////////////////////////////////////////////////////////////////////////////////////
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#include "fft_internal.h"
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#include "fft_base_kernels.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 <iostream>
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#include <string>
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#include <sstream>
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#include <limits>
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using namespace std;
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extern void getKernelWorkDimensions(cl_fft_plan *plan, cl_fft_kernel_info *kernelInfo, cl_int *batchSize, size_t *gWorkItems, size_t *lWorkItems);
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static void
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getBlockConfigAndKernelString(cl_fft_plan *plan)
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{
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plan->temp_buffer_needed = 0;
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*plan->kernel_string += baseKernels;
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if(plan->format == clFFT_SplitComplexFormat)
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*plan->kernel_string += twistKernelPlannar;
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else
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*plan->kernel_string += twistKernelInterleaved;
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switch(plan->dim)
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{
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case clFFT_1D:
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FFT1D(plan, cl_fft_kernel_x);
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break;
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case clFFT_2D:
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FFT1D(plan, cl_fft_kernel_x);
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FFT1D(plan, cl_fft_kernel_y);
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break;
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case clFFT_3D:
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FFT1D(plan, cl_fft_kernel_x);
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FFT1D(plan, cl_fft_kernel_y);
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FFT1D(plan, cl_fft_kernel_z);
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break;
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default:
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return;
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}
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plan->temp_buffer_needed = 0;
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cl_fft_kernel_info *kInfo = plan->kernel_info;
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while(kInfo)
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{
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plan->temp_buffer_needed |= !kInfo->in_place_possible;
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kInfo = kInfo->next;
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}
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}
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static void
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deleteKernelInfo(cl_fft_kernel_info *kInfo)
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{
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if(kInfo)
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{
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if(kInfo->kernel_name)
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free(kInfo->kernel_name);
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if(kInfo->kernel)
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clReleaseKernel(kInfo->kernel);
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free(kInfo);
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}
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}
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static void
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destroy_plan(cl_fft_plan *Plan)
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{
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cl_fft_kernel_info *kernel_info = Plan->kernel_info;
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while(kernel_info)
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{
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cl_fft_kernel_info *tmp = kernel_info->next;
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deleteKernelInfo(kernel_info);
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kernel_info = tmp;
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}
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Plan->kernel_info = NULL;
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if(Plan->kernel_string)
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{
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delete Plan->kernel_string;
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Plan->kernel_string = NULL;
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}
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if(Plan->twist_kernel)
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{
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clReleaseKernel(Plan->twist_kernel);
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Plan->twist_kernel = NULL;
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}
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if(Plan->program)
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{
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clReleaseProgram(Plan->program);
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Plan->program = NULL;
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}
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if(Plan->tempmemobj)
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{
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clReleaseMemObject(Plan->tempmemobj);
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Plan->tempmemobj = NULL;
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}
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if(Plan->tempmemobj_real)
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{
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clReleaseMemObject(Plan->tempmemobj_real);
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Plan->tempmemobj_real = NULL;
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}
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if(Plan->tempmemobj_imag)
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{
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clReleaseMemObject(Plan->tempmemobj_imag);
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Plan->tempmemobj_imag = NULL;
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}
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}
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static int
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createKernelList(cl_fft_plan *plan)
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{
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cl_program program = plan->program;
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cl_fft_kernel_info *kernel_info = plan->kernel_info;
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cl_int err;
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while(kernel_info)
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{
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kernel_info->kernel = clCreateKernel(program, kernel_info->kernel_name, &err);
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if(!kernel_info->kernel || err != CL_SUCCESS)
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return err;
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kernel_info = kernel_info->next;
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}
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if(plan->format == clFFT_SplitComplexFormat)
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plan->twist_kernel = clCreateKernel(program, "clFFT_1DTwistSplit", &err);
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else
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plan->twist_kernel = clCreateKernel(program, "clFFT_1DTwistInterleaved", &err);
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if(!plan->twist_kernel || err)
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return err;
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return CL_SUCCESS;
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}
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int getMaxKernelWorkGroupSize(cl_fft_plan *plan, unsigned int *max_wg_size, unsigned int num_devices, cl_device_id *devices)
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{
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int reg_needed = 0;
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*max_wg_size = std::numeric_limits<int>::max();
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int err;
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unsigned wg_size;
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unsigned int i;
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for(i = 0; i < num_devices; i++)
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{
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cl_fft_kernel_info *kInfo = plan->kernel_info;
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while(kInfo)
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{
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err = clGetKernelWorkGroupInfo(kInfo->kernel, devices[i], CL_KERNEL_WORK_GROUP_SIZE, sizeof(size_t), &wg_size, NULL);
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if(err != CL_SUCCESS)
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return -1;
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if(wg_size < kInfo->num_workitems_per_workgroup)
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reg_needed |= 1;
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if(*max_wg_size > wg_size)
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*max_wg_size = wg_size;
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kInfo = kInfo->next;
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}
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}
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return reg_needed;
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}
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#define ERR_MACRO(err) { \
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if( err != CL_SUCCESS) \
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{ \
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if(error_code) \
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*error_code = err; \
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clFFT_DestroyPlan((clFFT_Plan) plan); \
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return (clFFT_Plan) NULL; \
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} \
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}
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clFFT_Plan
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clFFT_CreatePlan(cl_context context, clFFT_Dim3 n, clFFT_Dimension dim, clFFT_DataFormat dataFormat, cl_int *error_code )
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{
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int i;
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cl_int err;
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int isPow2 = 1;
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cl_fft_plan *plan = NULL;
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ostringstream kString;
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int num_devices;
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int gpu_found = 0;
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cl_device_id devices[16];
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size_t ret_size;
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cl_device_type device_type;
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if(!context)
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ERR_MACRO(CL_INVALID_VALUE);
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isPow2 |= n.x && !( (n.x - 1) & n.x );
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isPow2 |= n.y && !( (n.y - 1) & n.y );
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isPow2 |= n.z && !( (n.z - 1) & n.z );
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if(!isPow2)
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ERR_MACRO(CL_INVALID_VALUE);
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if( (dim == clFFT_1D && (n.y != 1 || n.z != 1)) || (dim == clFFT_2D && n.z != 1) )
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ERR_MACRO(CL_INVALID_VALUE);
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plan = (cl_fft_plan *) malloc(sizeof(cl_fft_plan));
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if(!plan)
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ERR_MACRO(CL_OUT_OF_RESOURCES);
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plan->context = context;
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clRetainContext(context);
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plan->n = n;
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plan->dim = dim;
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plan->format = dataFormat;
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plan->kernel_info = 0;
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plan->num_kernels = 0;
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plan->twist_kernel = 0;
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plan->program = 0;
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plan->temp_buffer_needed = 0;
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plan->last_batch_size = 0;
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plan->tempmemobj = 0;
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plan->tempmemobj_real = 0;
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plan->tempmemobj_imag = 0;
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plan->max_localmem_fft_size = 2048;
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plan->max_work_item_per_workgroup = 256;
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plan->max_radix = 16;
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plan->min_mem_coalesce_width = 16;
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plan->num_local_mem_banks = 16;
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patch_kernel_source:
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plan->kernel_string = new string("");
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if(!plan->kernel_string)
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ERR_MACRO(CL_OUT_OF_RESOURCES);
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getBlockConfigAndKernelString(plan);
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const char *source_str = plan->kernel_string->c_str();
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plan->program = clCreateProgramWithSource(context, 1, (const char**) &source_str, NULL, &err);
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ERR_MACRO(err);
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err = clGetContextInfo(context, CL_CONTEXT_DEVICES, sizeof(devices), devices, &ret_size);
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ERR_MACRO(err);
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num_devices = (int)(ret_size / sizeof(cl_device_id));
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for(i = 0; i < num_devices; i++)
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{
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err = clGetDeviceInfo(devices[i], CL_DEVICE_TYPE, sizeof(device_type), &device_type, NULL);
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ERR_MACRO(err);
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if(device_type == CL_DEVICE_TYPE_GPU)
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{
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gpu_found = 1;
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err = clBuildProgram(plan->program, 1, &devices[i], "-cl-mad-enable", NULL, NULL);
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if (err != CL_SUCCESS)
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{
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char *build_log;
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char devicename[200];
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size_t log_size;
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err = clGetProgramBuildInfo(plan->program, devices[i], CL_PROGRAM_BUILD_LOG, 0, NULL, &log_size);
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ERR_MACRO(err);
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build_log = (char *) malloc(log_size + 1);
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err = clGetProgramBuildInfo(plan->program, devices[i], CL_PROGRAM_BUILD_LOG, log_size, build_log, NULL);
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ERR_MACRO(err);
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err = clGetDeviceInfo(devices[i], CL_DEVICE_NAME, sizeof(devicename), devicename, NULL);
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ERR_MACRO(err);
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fprintf(stdout, "FFT program build log on device %s\n", devicename);
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fprintf(stdout, "%s\n", build_log);
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free(build_log);
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ERR_MACRO(err);
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}
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}
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}
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if(!gpu_found)
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ERR_MACRO(CL_INVALID_CONTEXT);
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err = createKernelList(plan);
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ERR_MACRO(err);
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// we created program and kernels based on "some max work group size (default 256)" ... this work group size
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// may be larger than what kernel may execute with ... if thats the case we need to regenerate the kernel source
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// setting this as limit i.e max group size and rebuild.
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unsigned int max_kernel_wg_size;
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int patching_req = getMaxKernelWorkGroupSize(plan, &max_kernel_wg_size, num_devices, devices);
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if(patching_req == -1)
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{
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ERR_MACRO(err);
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}
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if(patching_req)
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{
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destroy_plan(plan);
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plan->max_work_item_per_workgroup = max_kernel_wg_size;
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goto patch_kernel_source;
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}
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cl_fft_kernel_info *kInfo = plan->kernel_info;
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while(kInfo)
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{
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plan->num_kernels++;
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kInfo = kInfo->next;
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}
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if(error_code)
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*error_code = CL_SUCCESS;
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return (clFFT_Plan) plan;
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}
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void
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clFFT_DestroyPlan(clFFT_Plan plan)
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{
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cl_fft_plan *Plan = (cl_fft_plan *) plan;
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if(Plan)
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{
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destroy_plan(Plan);
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clReleaseContext(Plan->context);
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free(Plan);
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}
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}
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void clFFT_DumpPlan( clFFT_Plan Plan, FILE *file)
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{
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size_t gDim, lDim;
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FILE *out;
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if(!file)
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out = stdout;
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else
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out = file;
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cl_fft_plan *plan = (cl_fft_plan *) Plan;
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cl_fft_kernel_info *kInfo = plan->kernel_info;
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while(kInfo)
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{
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cl_int s = 1;
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getKernelWorkDimensions(plan, kInfo, &s, &gDim, &lDim);
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fprintf(out, "Run kernel %s with global dim = {%zd*BatchSize}, local dim={%zd}\n", kInfo->kernel_name, gDim, lDim);
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kInfo = kInfo->next;
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}
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fprintf(out, "%s\n", plan->kernel_string->c_str());
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}
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