/opencl/oclfft

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1 by Matthias Vogelgesang
Initial commit
1
//
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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 <limits.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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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 = INT_MAX;
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    int err;
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    size_t 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 = ret_size / sizeof(cl_device_id);
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7 by Suren A. Chilingaryan
Merge mv fix for multigpu contexts on AMD platform
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        err = clBuildProgram(plan->program, num_devices, devices, "-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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1 by Matthias Vogelgesang
Initial commit
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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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350
	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) 
361
	{	
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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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380
	while(kInfo)
381
	{
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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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